Single-Cell RNA-Seq (scRNA-Seq) Bioinformatics Jobs

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Nautilus Biotechnology
Permanent
October 2, 2026

Senior Bioinformatics Scientist

$126K - $182K
San Carlos, CA
Hybrid

ABOUT NAUTILUS

At Nautilus, we have a big and important mission: positively impact the health and lives of people around the world by unleashing the potential of the proteome. We are developing a single-molecule protein analysis platform of unprecedented sensitivity, scale, and ease of use that we believe will democratize access to the proteome – one of the most dynamic and valuable sources of biological insight. To accomplish this, we are pursuing hard scientific problems with an entrepreneurial mindset and creating a world-class team of builders, innovators, and dreamers across a wide range of disciplines.  

ABOUT THE ROLE

We are actively seeking a talented Senior Bioinformatics Scientist to join our growing team. Turning data generated by our platform into reliable proteomic insights depends on assays that are well designed, well optimized, and well understood. In this role, you will partner closely with assay development, reagent, and platform scientists to design experiments, define what success looks like, and translate results into decisions about how our assays should work – whether that means developing a novel assay, optimizing an existing one, or understanding why a result did not go as expected.

Doing this well requires connecting the full story of an experiment: the reagent lots that went in, the experimental design, the raw data, how that data was processed, and whether the statistics support the conclusion. We are looking for someone with exceptional communication skills, comfort accessing data wherever it lives, and a strong understanding of experimental work. This role is broad by design and is well suited to someone with a can-do attitude and a genuine desire to learn, who enjoys variety and gets satisfaction from helping teams make good decisions with data.

This position reports to a Bioinformatics Fellow and is located in San Carlos, CA (hybrid: minimum of 3 days/week in office).

RESPONSIBILITIES

  • Partner with scientists to deliver proteoform and proteome assays built on our single-molecule proteomics platform powered by Iterative Mapping.
  • Independently analyze Iterative Mapping data end to end – from run metadata through image-processing, protein decoding, and statistical conclusions – then communicate results and recommendations in a clear and actionable manner to all members of the company regardless of their scientific background.
  • Optimize assay performance by establishing levers for improving reproducibility and quantitative accuracy.
  • Guide experimental design, including controls, replicates, and sample sizes, and conduct sensitivity and power analyses that set acceptance criteria before data is collected.
  • Diagnose unexpected experimental results by forming and testing hypotheses that span reagents, instrument, image processing, and algorithms, and feed lessons learned into the next round of assay design.
  • Develop and maintain the quality control metrics and reports scientists use to evaluate their runs, setting defensible thresholds and explaining what each metric means and why it matters.
  • Access and integrate data wherever it lives, including cloud data warehouses, object storage, on-premises file servers, and experiment metadata records, reconciling inconsistencies as needed.
  • Convert recurring analyses into reusable, tested software tools that the broader team can run.
  • Work closely and cross-functionally with chemists, engineers, and algorithm developers as part of project teams across the company.

REQUIREMENTS

  • A PhD in Bioinformatics, Computational Biology, Biostatistics, Biophysics, Chemistry, or a related quantitative field.
  • A minimum of 4 years of experience in industry.
  • A can-do attitude and a desire to learn: eager to take on unfamiliar problems, pick up new domains, and bring ideas forward rather than waiting for requirements.
  • Exceptional written and verbal communication skills, including the ability to explain technical findings to non-computational audiences.
  • Hands-on experience analyzing data from wet-lab experiments, ideally including assay development or optimization, with a strong understanding of how bench work is performed and what drives assay performance.
  • Demonstrated ability to trace complex, real-world data problems from raw data to root cause.
  • Solid foundation in applied statistics, including distributions and variability, hypothesis testing, and power/sensitivity analysis.
  • Proficient in Python for data analysis and visualization (e.g., pandas, NumPy, SciPy).
  • Comfortable working across local machines, shared servers, and cloud environments, including Linux and Git.

PREFERRED QUALIFICATIONS

  • Experience working with AWS data storage and processing services (e.g., Athena, S3).
  • Hands-on bench experience.
  • Experience with proteomics.
  • Experience moving an assay from early development through production.
  • Experience building dashboards or interactive tools for non-computational users (e.g., Dash, Marimo).

NAUTILUS TEAM CULTURE

  • We are curious go-getters: This is a team of lifelong learners who aren’t afraid to tackle the big challenges and we embrace the journey.
  • We are detail-oriented: We do great science by working smart and with diligence where we learn from our trials and mistakes.
  • We are easy to work with: We want our workplace to be one where everyone can share their perspective and be treated with respect and kindness.

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Biohub
Permanent
September 28, 2026

Sr Staff/Staff Data Scientist, Imaging

$214,000 - $331,100
Redwood City, CA (Hybrid)
Hybrid

ABOUT BIOHUB

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.

THE TEAM

Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology—developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.

Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools.

THE OPPORTUNITY

This role is part of the Data team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems.

The data that trains biological frontier models comes in dozens of modalities—sequences, images, spatial coordinates, time series, molecular structures, metadata, preprints and published papers—each with its own noise characteristics, biases, and information content. The question of how to represent this data for learning is one of the most important open problems in biological AI.

You will operate with broad scope and high autonomy, influencing roadmap decisions across teams while mentoring senior individual contributors. Success in this role means scaling data systems that are not only large, but adaptive, interpretable, and scientifically grounded, accelerating progress toward robust biological frontier models and ultimately advancing human health.

We're looking for data scientists who can work at this frontier: people who understand biological measurement deeply, think creatively about data representations and tokenization strategies, and can translate that thinking into novel training architectures. You'll work directly with experimental and computational scientists, data scientists and AI researchers to define what the models see and how they see it, and data engineers to make this work at scale. This is a role for someone who wants to invent the methods that make biological frontier models possible.

WHAT YOU'LL DO

  • Design data representations and tokenization strategies for imaging data that enable novel model architectures.
  • Coordinate Experimental, Data Science, Data Engineering and AI Research teams to translate biological structure into learnable representations—defining priorities and appropriate structures for metadata and data that information models can access and consume.
  • Work across those teams to guide data acquisition priorities, define quality criteria, and assess external datasets from a representation perspective.
  • Develop and validate approaches for combining heterogeneous data modalities into unified training frameworks, designing for robustness to noise, bias, and batch effects.
  • Evaluate how representation choices impact model performance, identifying which biological signals are captured or lost and iterating to improve.

WHAT YOU'BRING

  • PhD in computational biology, bioinformatics, or a quantitative biological field.
  • Experience with tokenization strategies for non-text data (images, sequences, graphs, time series).
  • Track record of novel methodological contributions (publications, open-source tools, or production systems).
  • Familiarity with biological foundation models (ESM, scGPT, or similar).
  • Deep understanding of imaging data, their underlying data characteristics, and how to transform raw data into AI-ready datasets.
  • Experience designing data representations or feature engineering for machine learning, ideally in scientific or biological contexts.
  • Familiarity with modern ML architectures (transformers, diffusion models, or similar) and how data representation choices affect learning.
  • Strong computational skills (Python, scientific computing libraries); comfort working with large-scale datasets.
  • Creative, first-principles thinking about how to structure data for learning.

COMPENSATION

The Redwood City, CA base pay range for a new hire in this role is $214,000 - $294,800 for staff-leveled candidates and $241,000 - $331,100 for senior staff candidates. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.  

This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.

BETTER TOGETHER

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.  

BENEFITS FOR THE WHOLE YOU  

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.  

  • Provides a generous employer match on employee 401(k) contributions to support planning for the future.  
  • Paid time off to volunteer at an organization of your choice.  
  • Funding for select family-forming benefits.  
  • Relocation support for employees who need assistance moving.  

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

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LatchBio
Permanent
September 28, 2026

Ai Biologist - Rare Disease

$120K–$180K
San Francisco or Remote
Remote

AI Biologist - Rare Disease

As molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry.

We're seeking an AI Biologist to join our Rare Disease team to explore the frontier of what AI assistance can enable in rare disease biology.

ABOUT THE ROLE

You will contribute to Latch’s benchmarks, strategy, and research on agents that can navigate, diagnose, and aid research toward rare disease. We are especially interested in teaching agents to translate molecular and clinical evidence into decisions with utility for patients, advocacy groups, clinicians, drug developers, and scientists.

Some of what you may do on a day-to-day basis:

  • Structure, curate, and find insights from extensive genomic, phenotypic, pedigree, transcriptomic, and longitudinal clinical data.
  • Navigate data partnerships.
  • Evaluate realistic patient case scenarios spanning the diagnostic journey.
  • Partner with software engineers to define and execute new data workflows and benchmarks.

REQUIREMENTS

  • Master's, PhD, or equivalent experience in a relevant biological or quantitative field.
  • 3+ years of hands-on experience in basic or translational research, clinical genomics, rare disease diagnostics, or rare disease therapeutics, ideally as demonstrated through publications or industry work.
  • Deep expertise with therapeutics discovery, biological mechanism, or clinical practice in a subset of rare diseases.
  • Experience interpreting data in a biological context and identifying confounders, technical artifacts, and limitations of underlying experiments.
  • Proficiency in Python/R for biological data analysis or visualization.

NICE TO HAVE

  • Experience with variant interpretation, variant calling, or genomic analysis.
  • Familiarity with commonly used rare disease knowledge bases and workflows.
  • Proficiency in AI agent use.

CULTURE @ LATCH

  • How We Work: Genuinely flexible schedules—we just ask that you communicate when you're coming in later than usual. We care most about hard work and output. We're respectfully opinionated; it will always be us against problems, not each other. Optimize for each other's time and bring solutions, not just problems. You'll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.
  • The Office & Perks: Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, and game nights.

COMPENSATION & LOGISTICS

  • Contract Structure: 1099 (or W8-BEN) contract, 40 hrs/week, no end date.
  • Compensation: Fully performance-based pay: $120K–$180K, uncapped upside. 2x quota = 2x pay. Includes a 2–4 week paid ramp with full OTE from day one.
  • Location & Onsite Perks: Remote (globally), hybrid, or onsite in SF (onsite preferred). Onsite perks include 2x free meals/day, waterfront office (China Basin), and monthly parking (based on availability).
  • Work Authorization: OPT visa holders only (not STEM Extension).
  • Leadership Opportunities: Candidates with all of the above qualifications plus proven management skills will be eligible for more senior positions.

INTERVIEW PROCESS

Timeline: We move fast—8 to 12 days from submission to offer.

  1. Intro Screen: Technical Recruiter
  2. Take-Home Project: HackerRank
  3. Technical Interview: Member of Technical Staff
  4. Culture Interview: C-Suite (If applicable)
  5. Offer

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Mithrl
Permanent
September 23, 2026

Member of Technical Staff, Discovery Applications

$180K - $220K
San Francisco, CA
Onsite

ABOUT MITHRL

We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought.

Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with analysis, novel targets, hypotheses, and patent-ready reports.

Our traction speaks for itself:

  • 12X year-over-year revenue growth
  • Trusted by leading biotechs and big pharma across three continents
  • Driving real breakthroughs from target discovery to patient outcomes.

ABOUT THE ROLE

We are hiring an ML Engineer, Discovery Applications to build the high-level, end-to-end scientific workflows that power real bench-to-bench decision making inside the Mithrl platform. This role focuses on building the application layer on top of the AI Co-Scientist. Your work will shape how scientists discover biomarkers, identify and validate targets, design experiments, and run early discovery programs that extend all the way to IND-enabling work.

This role requires a deep understanding of the discovery and preclinical development cycle. You should understand how research teams move from early target hypotheses to biomarker strategy, hit identification, hit-to-lead, lead optimization, and preclinical validation. Your applications will support decision making across this entire arc and will be consumed directly by scientists and program teams.

You will design multi-step workflows that combine analysis modules, ML models, domain logic, and agentic reasoning into complete applications. These applications cover biomarker discovery, target ID, target validation, small molecule hit identification and optimization, and gene therapy workflows. You will also extend applications to support new data modalities as our platform expands.

WHAT YOU WILL DO

  • Build full discovery applications that support biomarker identification, target discovery, target validation, small molecule design workflows, and gene therapy programs.
  • Stand up new analyses that support application logic and improve or extend the existing analysis suite.
  • Create multi-step reasoning flows that integrate ML models, statistical methods, pathway context, simulation tools, and biological domain logic.
  • Design application-specific workflows for compound evaluation, program prioritization, and multimodal evidence integration.
  • Extend existing applications to incorporate new data modalities and new analysis routines.
  • Build reusable frameworks for Design of Experiments across biomarker discovery, target ID, validation, small molecule programs, and gene therapy.
  • Implement and improve the AI systems that orchestrate and chain analyses into coherent applications used directly by scientists.
  • Collaborate closely with ML engineers, bioinformatics teams, and data ingestion teams to ensure workflows run on consistent data.
  • Validate scientific correctness and ensure applications produce accurate, reproducible, and interpretable results.

WHAT YOU BRING

Required Qualifications

  • Strong experience in ML, computational biology, scientific computing, or a related field.
  • Deep understanding of the drug discovery and preclinical development cycle including early discovery, target identification, target validation, hit identification, hit-to-lead, lead optimization, and IND-enabling work.
  • Experience building analytical workflows or application logic for biological or scientific data.
  • Familiarity with key discovery analysis methods such as differential expression, pathway analysis, clustering, enrichment, and target scoring.
  • Proficiency in Python and scientific computing libraries and comfort with building multi-step workflows.
  • Ability to convert scientific questions into structured, reproducible workflows that support real decision making.
  • Strong communication skills and ability to collaborate with cross-functional engineering and biology teams.

Nice to Have

  • Experience building LLM-powered agents or multi-agent reasoning systems.
  • Experience with multimodal biological data integration.
  • Experience with computational chemistry tools such as docking or ADMET modeling.
  • Familiarity with biological ontologies, curated knowledge sources, or pathway databases.
  • Prior experience in a tech bio startup, biotech R&D group, or scientific software platform.

WHAT YOU WILL LOVE AT MITHRL

  • High ownership and impact: You will build the decision-making applications that scientists rely on throughout the discovery and preclinical process.
  • Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders.
  • Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution.
  • Speed: We ship fast (2x/week) and improve continuously based on real user feedback.
  • Location: Beautiful SF office with a high-energy, in-person culture.
  • Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.  

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Mithrl
Permanent
September 23, 2026

Member of Technical Staff, Data Engineering

$180K - $220K
San Francisco, CA
Onsite

ABOUT MITHRL

We envision a world where novel drugs and therapies reach patients in months, not years, accelerating breakthroughs that save lives.  

Mithrl is building the world’s first commercially available AI Co-Scientist—a discovery engine that empowers life science teams to go from messy biological data to novel insights in minutes. Scientists ask questions in natural language, and Mithrl answers with real analysis, novel targets, and patent-ready reports.  

Our traction speaks for itself:

  • 12X year-over-year revenue growth
  • Trusted by leading biotechs and big pharma across three continents
  • Driving real breakthroughs from target discovery to patient outcomes.

WHAT YOU WILL DO

  • Build and own an AI-powered ingestion & normalization pipeline to import data from a wide variety of sources — unprocessed Excel/CSV uploads, lab and instrument exports, as well as processed data from internal pipelines.
  • Develop robust schema mapping, coercion, and conversion logic (think: units normalization, metadata standardization, variable-name harmonization, vendor-instrument quirks, plate-reader formats, reference-genome or annotation updates, batch-effect correction, etc.).
  • Use LLM-driven and classical data-engineering tools to structure “semi-structured” or messy tabular data — extracting metadata, inferring column roles/types, cleaning free-text headers, fixing inconsistencies, and preparing final clean datasets.
  • Ensure all transformations that should only happen once (normalization, coercion, batch-correction) execute during ingestion — so downstream analytics / the AI “Co-Scientist” always works with clean, canonical data.
  • Build validation, verification, and quality-control layers to catch ambiguous, inconsistent, or corrupt data before it enters the platform.
  • Collaborate with product teams, data science / bioinformatics colleagues, and infrastructure engineers to define and enforce data standards, and ensure pipeline outputs integrate cleanly into downstream analysis and storage systems.

WHAT YOU BRING

Must-have

  • 5+ years of experience in data engineering / data wrangling with real-world tabular or semi-structured data.
  • Strong fluency in Python, and data processing tools (Pandas, Polars, PyArrow, or similar).
  • Excellent experience dealing with messy Excel / CSV / spreadsheet-style data — inconsistent headers, multiple sheets, mixed formats, free-text fields — and normalizing it into clean structures.
  • Comfort designing and maintaining robust ETL/ELT pipelines, ideally for scientific or lab-derived data.
  • Ability to combine classical data engineering with LLM-powered data normalization / metadata extraction / cleaning.
  • Strong desire and ability to own the ingestion & normalization layer end-to-end — from raw upload → final clean dataset — with an eye for maintainability, reproducibility, and scalability.
  • Good communication skills; able to collaborate across teams (product, bioinformatics, infra) and translate real-world messy data problems into robust engineering solutions.

Nice-to-have

  • Familiarity with scientific data types and “modalities” (e.g. plate-readers, genomics metadata, time-series, batch-info, instrumentation outputs).
  • Experience with workflow orchestration tools (e.g. Nextflow, Prefect, Airflow, Dagster), or building pipeline abstractions.
  • Experience with cloud infrastructure and data storage (AWS S3, data lakes/warehouses, database schemas) to support multi-tenant ingestion.
  • Past exposure to LLM-based data transformation or cleansing agents — building or integrating tools that clean or structure messy data automatically.
  • Any background in computational biology / lab-data / bioinformatics is a bonus — though not required.

WHAT YOU WILL LOVE AT MITHRL

  • Mission-driven impact: You’ll be the gatekeeper of data quality — ensuring that all scientific data entering Mithrl becomes clean, consistent, and analysis-ready. You’ll have outsized influence over the reliability and trustworthiness of our entire data + AI stack.
  • High ownership & autonomy: This role is yours to shape. You decide how ingestion works, define the standards, build the pipelines. You’ll work closely with our product, data science, and infrastructure teams — shaping how data is ingested, stored, and exposed to end users or AI agents.
  • Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders.
  • Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution.
  • Speed: We ship fast (2x/week) and improve continuously based on real user feedback.
  • Location: Beautiful SF office with a high-energy, in-person culture.
  • Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.  

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Mithrl
Permanent
September 18, 2026

Member of Technical Staff, Biological Analysis & Simulation

$180K - $220K
San Francisco, CA
Onsite

ABOUT MITHRL

We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought.

Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports.

Our traction speaks for itself:

  • 12X year-over-year revenue growth
  • Trusted by leading biotechs and big pharma across three continents
  • Driving real breakthroughs from target discovery to patient outcomes.

ABOUT THE ROLE

We are hiring an ML Engineer, Analysis and Simulation to build the core analytical and reasoning layer behind the Mithrl AI Co-Scientist. Your work will define how the AI interprets biological datasets, generates scientific conclusions, and orchestrates downstream simulation tools for drug discovery.

You will develop the reusable analysis modules that Mithrl runs for every dataset, and you will design multi-step agentic workflows that combine statistical analysis, biological reasoning, and computational modeling. You will also integrate and experiment with simulation tools for small molecule discovery, such as ADMET prediction, docking scoring, Boltzmann generators, and related computational chemistry engines.

This is the role that makes the AI Co-Scientist smart. If you have a strong background in ML, computational biology, and scientific analysis workflows, and you want to shape how AI reasons about biological systems, this is an exceptional opportunity.

WHAT YOU WILL DO

  • Build AI-driven analysis agents that perform biological reasoning across a wide range of datasets.
  • Develop the standard analysis suite for each dataset, including modules for differential expression, pathway analysis, feature importance, clustering, scoring, enrichment, and mechanism-of-action interpretation.
  • Build multi-step workflows that combine ML models, statistical logic, and biological knowledge to produce high-confidence insights.
  • Design and implement agentic reasoning strategies that allow Mithrl to run dozens of analyses per dataset and synthesize the outputs into a coherent scientific narrative.
  • Integrate simulation and modeling tools for small molecule drug discovery, including ADMET prediction, docking scoring, generative chemistry tools, structure-based modeling, and related computational frameworks.
  • Collaborate with data engineering, bioinformatics, and curation teams to ensure analysis modules operate on clean and consistent data.
  • Validate results, benchmark pipelines, and ensure scientific accuracy and reproducibility of all analyses.
  • Contribute to the long-term architecture for how the AI Co-Scientist performs reasoning, hypothesis testing, and simulation.

WHAT YOU BRING

Required Qualifications

  • Strong experience in machine learning, computational biology, or a related scientific ML field.
  • Experience developing analysis modules for biological or scientific datasets.
  • Familiarity with common techniques in target discovery, gene expression analysis, pathway inference, clustering, or statistical modeling.
  • Hands-on experience with computational chemistry or simulation tools, such as ADMET models, docking, binding prediction, or molecular generative models.
  • Proficiency in Python and scientific computing libraries.
  • Experience designing multi-step reasoning or workflow-based ML pipelines.
  • Ability to translate messy scientific questions into structured ML or analytical workflows.
  • Strong communication skills and comfort collaborating with cross-functional scientific and engineering teams.

Nice to Have

  • Experience with LLM-powered scientific agents or multi-agent architectures.
  • Familiarity with phenotype-based discovery, multimodal integration, or systems biology.
  • Background in computational chemistry or structure-based drug discovery.
  • Experience with biological ontologies, curated knowledge graphs, or pathway databases.
  • Prior experience in a tech bio company, biotech R&D group, or scientific platform team.

WHAT YOU WILL LOVE AT MITHRL

  • High ownership: You will define how the AI Co-Scientist thinks and reasons about biology.
  • Impact: You will work at the intersection of ML, biology, and simulation, with direct impact on real discovery programs.
  • Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders.
  • Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution.
  • Speed: We ship fast (2x/week) and improve continuously based on real user feedback.
  • Location: Beautiful SF office with a high-energy, in-person culture.
  • Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.  

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Basecamp Research
Permanent
September 14, 2026

Senior Research Engineer

TBD
London
Onsite

Full-time · Head Office (Farringdon, London)

About Us

Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organizations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development.  

In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognized with honors including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups.

At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges. If you feel passionate about the power of biology, data, and AI to build a better world, we'd love to hear from you.

The Role

We are looking for a Senior Research Engineer to join our AI Research team in London. You will work on the technology, systems and infrastructure that power our frontier research, from accelerators and distributed training pipelines to experiment frameworks and the tooling that lets a small team operate at scale.

You will sit within the research team, understand the science, and make decisions that directly shape what research is possible and how we run it. The best research engineers shape what can be done and how fast ideas move from whiteboard to result.

We train large-scale models on the world's richest biological datasets. The scale we work at is unique and the engineering challenges are too: custom architectures on novel data modalities, training runs that push hardware limits, and a pace of experimentation that demands robust and flexible tooling. You will be the person who makes all of that work reliably, and who figures out how to make it work better.

You'll report to the Head of AI Research and work closely with researchers covering genomics, computational biology, and large-scale deep learning. You'll also collaborate with the broader platform engineering and data teams across the company.

About You

  • PhD in computer science, physics, mathematics, or a related field, or equivalent depth of experience gained through building AI systems at scale.
  • You have worked at a frontier AI research lab where research engineers are treated as first-class contributors. You know how to run large-scale experiments and you've been part of making that actually happen at scale.
  • You are comfortable across the full stack: distributed training frameworks, GPU/accelerator optimization, data pipelines, experiment tracking, and making research reproducible and reliable. You have experience down to the level of CUDA kernels or XLA.
  • You have contributed to open source projects like PyTorch, JAX, MLX or similar.
  • You care about research outcomes as much as system uptime. You form opinions about what experiments to run and how to design them. You can read papers and research reports and figure out what it would take to implement them as efficiently as possible.
  • A background in mathematics or physics is strongly preferred. The best research engineers bring quantitative intuition to system design decisions.
  • You have strong software engineering practices: clean code, good testing habits, focus on performance, and an instinct for building systems that other people can actually use. In a small team everyone depends on what you build.
  • You are genuinely curious about biology. The data you'll work with encodes billions of years of evolution, drawn from ecosystems most datasets never touch. You should find that interesting and not incidental.
  • Low ego, collaborative instincts, and a startup mentality. You're comfortable with ambiguity and happy to wear multiple hats in a team where everyone contributes beyond their job description.

Nice to Have

  • Experience with biological data: genomic sequences, protein structures, molecular data, or similar.
  • Familiarity with our broader tech stack: Kubernetes, Dagster, or similar orchestration and infrastructure tools.
  • Contributions to open-source ML frameworks or research codebases.
  • Publications at major venues (e.g., NeurIPS, ICML, ICLR, or JMLR).

What We Offer in Return

  • Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast-moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics.
  • Collaborative Culture: You'll be surrounded by world-class engineers, scientists, and researchers who care deeply about their work and about each other. With offices in London and Boston, we've built a flexible, cross-functional environment where personal development and real ownership aren't just talking points.
  • High Growth: We truly believe in investing in our people—we make coaching available to team members during steep growth journeys and we have twice yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace, and we ensure reward increases with impact.
  • Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions so strong that most employees' family members opt into our plan over their own. We also offer Carrot Fertility with IVF stipend, salary sacrifice pension, bike to work scheme, life insurance, and more.

We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating do let us know.  

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Basecamp Research
Permanent
September 14, 2026

Senior Research Scientist

TBD
London
Onsite

About Us

Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organizations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development.  

In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognized with honors including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups.

At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges. If you feel passionate about the power of biology, data, and AI to build a better world, we'd love to hear from you.

The Role

We are looking for a Senior Research Scientist to join our AI Research team in London. You will work at the intersection of mathematics and machine learning, bringing rigorous quantitative thinking to some of the most challenging problems in biological AI.

Our research group is small, collaborative, and operates more like a frontier research lab than a typical biotech team. We train large-scale foundation models on the world's largest and richest metagenomic datasets, and we look for people who can push the mathematical boundaries of what these models can learn and represent. The work requires developing new methods and theories from scratch.

This is a role with real ownership. You will shape a research direction within the team, publish at top venues, and see your work translated into models that generate genuinely novel biology. The problems are hard, the data is unique, and the impact is tangible.

You'll be reporting to the Head of AI Research and working alongside researchers covering genomics, sequence modeling, and large-scale deep learning, as well as biologists, bioinformaticians, and engineers across the wider company.

About You

  • PhD in mathematics, physics, or a closely related quantitative field. Your work in AI and machine learning is driven by curiosity, and you've brought a depth of mathematical thinking that clearly distinguishes your work.
  • You have spent meaningful time on frontier research and you already have an understanding of how top research teams operate, from problem selection to large-scale experimentation to shipping results that matter.
  • Your research interests might span generative models, geometric deep learning, probabilistic modeling, dynamical systems, information geometry, optimization theory, or related areas. What matters most is that you think from first principles and bring mathematical structure to hard problems.
  • You have a strong publication record at top ML venues (NeurIPS, ICML, ICLR, or equivalent) that demonstrates independent thinking and a coherent research arc.
  • You are genuinely curious about biology. Domain expertise is welcome, and what we really care about is that you find it exciting to work with data from unexplored ecosystems encoding billions of years of evolutionary optimization. The best candidates will see biological data as a source of fundamentally new scientific questions.
  • You have low ego, strong collaborative instincts, and a startup mentality. You are comfortable with ambiguity, willing to iterate fast, and happy to work in a small team where everyone contributes across boundaries.

Nice to Have

  • Experience training models at large scale (billions of parameters, extreme long context, distributed training, custom architectures).
  • Domain knowledge in life sciences, genomics, or computational biology, e.g., familiarity with protein structure, molecular dynamics, or related biophysical methods.

What We Offer in Return

  • Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast-moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics.
  • Collaborative Culture: You'll be surrounded by world-class engineers, scientists, and researchers who care deeply about their work and about each other. With offices in London and Boston, we've built a flexible, cross-functional environment where personal development and real ownership aren't just talking points.
  • High Growth: We truly believe in investing in our people—we make coaching available to team members during steep growth journeys and we have twice yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace and we ensure reward increases with impact.
  • Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions so strong that most employees' family members opt into our plan over their own. We also offer Carrot Fertility with IVF stipend, salary sacrifice pension, bike to work scheme, life insurance, and more.

We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating do let us know.  

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Profluent
Permanent
September 14, 2026

Machine Learning Scientist, BioML

$212,000 — $339,000
Emeryville, California
Hybrid

Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.  

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into models at the intersection of complex protein biology and AI. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain.

As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.

Responsibilities

  • Design and develop state-of-the-art predictive and generative models incorporating domain-specific evolutionary and experimental data
  • Leverage massive-scale protein and nucleic acid data to train specialized models for protein understanding and design
  • Curate relevant datasets and design tasks for rigorous evaluation of generative models
  • Collaborate across the machine learning and protein design teams to adapt and apply techniques for experimental validation
  • Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings  
  • Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company  

Qualifications  

  • PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field  
  • Experience with conceiving of, implementing, and evaluating novel machine learning techniques at the intersection with biology  
  • Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS)
  • Experience with modern deep learning frameworks such as PyTorch or Jax

Preferences

  • Familiarity with foundational biology of proteins and nucleic acids  
  • Experience developing machine learning models for proteins (language models, structure prediction, design)  
  • Experience with cloud compute platforms (GCP, AWS, Azure, OCI)  
  • Previous experience in data extraction and curation from bioinformatics data sources
  • Familiarity with wet lab experimental assays and associated limitations
  • 3 to 5 years of industry experience

What We Offer

  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • 401(k) with a strong employer match
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.  

Employment Eligibility Verification

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.

Hiring Salary Range

$212,000 — $339,000 USD

NOTICE TO STAFFING AND SEARCH FIRMS: Profluent does not accept unsolicited candidate submissions. We ask that agencies refrain from sending resumes to our careers inbox, hiring managers, or any Profluent employee. Any resume submitted without a signed agreement and an active search request from our Talent team will be treated as the property of Profluent, and no placement fee will be owed.

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Deep Genomics
Permanent
September 14, 2026

Senior Research Associate, in vivo Pharmacology

TBD
Cambridge, MA
Onsite

About Us

Deep Genomics is at the forefront of integrating artificial intelligence and complex biology to transform drug discovery. Our proprietary machine learning platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, genetics, chemistry, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how medicines are created.  

About the Role

The Senior Research Associate will join our in vivo Pharmacology team within the Platform Biology group and will be a key player in driving our cutting-edge AI RNA therapeutics discovery platform. In this role, you will be responsible for helping support in vivo therapeutic efficacy testing efforts of novel RNA therapeutics in various animal models. The ideal candidate will have strong hands-on experience with in vivo animal handling and rodent models, expertise in tissue collection and sample processing, and some background in molecular biology techniques. Experience or familiarity with RNA-based therapeutic modalities is highly desirable.

The successful candidate will be a proactive, detail-oriented, and collaborative team member who demonstrates scientific curiosity and initiative. The candidate should be comfortable working both mostly independently and within cross-functional teams in a dynamic, fast-paced biotech environment.

This position is onsite at our Cambridge, MA site.

Key Responsibilities

  • Coordinate study logistics, including dosing schedules, sample collection plans, reagent preparation, and communication with research partners.
  • Manage in vivo samples and prepare samples for downstream analysis.
  • Perform standard molecular biology techniques in a consistent and reproducible manner (e.g., PCR, qPCR, ddPCR, ELISA, Western blot, Jess/Leo capillary-based Western blot, etc.).
  • Support the development of novel molecular and functional assays on animal samples for our internal therapeutic pipeline.
  • Analyze, visualize, and summarize study data while maintaining accurate and timely documentation of experiments, protocols/SOPs, sample inventories, and results in an electronic lab notebook (ELN).
  • Collaborate with cross-functional teams to support project goals and meet company timelines.

Basic Qualifications

  • Degree in Pharmacology, Biology, Molecular Biology, Genetics, Biochemistry, or a related field with a BS and 2–4+ years of relevant experience, or an MS and 1–2+ years of relevant pharmaceutical or biotechnology experience.
  • Basic understanding of molecular biology and tissue sample processing for RNA and protein readouts.
  • Hands-on experience with rodents, basic injections (e.g., tail vein, SubQ, IP, etc.), necropsy, and some in vivo study coordination is mandatory.
  • Demonstrated ability to execute various ex vivo molecular assays.
  • Excellent communication, organizational skills, and a willingness to learn.
  • Ability to work collaboratively in a fast-paced technical environment.

Preferred Qualifications

  • Past experience with RNA oligonucleotide therapeutics in animal models is preferred.
  • Basic knowledge of histology and immunohistochemical assays and quantification is a bonus.
  • Demonstrated experience working in cross-functional teams.
  • Experience working in an advanced data and computing environment.

What We Offer  

  • A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery.  
  • Highly competitive compensation, including meaningful stock ownership.  
  • Comprehensive benefits—including health, vision, and dental coverage for employees and families, and an employee and family assistance program.  
  • Flexible work environment—including flexible hours, extended long weekends, holiday shutdown, and unlimited personal days.  
  • Maternity and parental leave top-up coverage, as well as new parent paid time off.  
  • Focus on learning and growth for all employees—learning and development budget & lunch and learns.  
  • Facilities located in the heart of Toronto—the epicenter of machine learning and AI research and development—and in Kendall Square, Cambridge, Mass.—a global center of biotechnology and life sciences.  

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BillionToOne
Permanent
September 14, 2026

Research Associate

$75,029 - $85,748
Menlo Park, CA
Onsite

A Rare Opportunity to Shape the Future of Genomics

Join a team of brilliant, passionate innovators determined to transform healthcare. At BillionToOne, we've built a category-defining, publicly traded company on Nasdaq where transparency fuels trust, collaboration drives breakthroughs, and every contribution moves the needle on our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we build products that are 10x better than anything that exists today.

Our scientists, engineers, sales executives, and visionaries are united by an unwavering commitment to changing the standard of care in prenatal and cancer diagnostics. This is where cutting-edge science meets human compassion, and every innovation you contribute helps remove the fear of the unknown from some of life's most critical medical moments.

If you're driven by purpose, energized by innovation, and ready to help shape the future of precision medicine at scale, this is where you belong.

The Research Associate position at BillionToOne is exceptionally rare at the undergraduate or early-career level. At BillionToOne, you will do much more than simply run routine protocols. Your work will help shape the development of high-impact molecular diagnostic products that are actively changing patient outcomes in both oncology and prenatal medicine. This is your chance to contribute to building novel molecular tests that help patients from day one.

You will work alongside and be mentored by scientists with interdisciplinary expertise across molecular biology, genomics, bioinformatics, and quantitative modeling. You will have the chance to use cutting-edge molecular techniques, next-generation sequencing, and robotic tools to move assays from research prototypes to analyzing thousands of real patient samples in our clinical lab as a commercially available product. Whether your ambition is to grow here at BillionToOne or ultimately pursue graduate studies, this position would be a solid foundation for your scientific career.

The Research Associate is an on-site position in our Menlo Park, CA office.

Who We’re Looking For:

  • Strong statistical and quantitative skills: You think rigorously about data. You understand the difference between signal and noise, appreciate the importance of statistical power, and bring quantitative reasoning to every problem.
  • Meticulous attention to experimental detail: You understand that the quality of an experiment determines what we can learn from it. You keep rigorous records, design careful controls, and take pride in work that others can rely on and build upon.
  • Ambition to make a difference now: You aren’t here to punch the clock. You want to understand why things work, push the boundaries of what’s known, and do what it takes to see your contributions show up in products that help real patients.

Responsibilities:

  • Design, execute, and troubleshoot experiments and assays under the guidance of Senior Scientists
  • Learn analytical and computational methodologies to analyze results under the guidance of Senior Scientists
  • Present scientific findings both verbally at group meetings and via internal written reports
  • Document experimental details and results
  • Collaborate with other teams to implement lab and bioinformatic workflows
  • Contribute positively to organizing and maintaining the R&D lab

Qualifications:

  • BS or MS in Bioengineering, Molecular and Cell Biology, Microbiology, Biophysics, Biochemistry, or related field  
  • 1–2 years of research experience (either during BS/MS or afterwards)  
  • Previous experience with standard molecular biology techniques (in particular, extensive experience with PCR, electrophoresis, DNA purifications)  
  • An ability to quickly learn mathematical, analytical, and experimental concepts  
  • High mathematical and statistical aptitude (e.g., you find the GRE math section to be extremely easy)  
  • Great attention to detail

Nice-To-Haves:

  • Start-up experience
  • Knowledge of medical genetics
  • Experience in a cell-free DNA setting
  • Experience with next-generation sequencing library preparation
  • Experience with computational analysis in R, Python, or other programming language

Benefits And Perks:

  • Working alongside brilliant, kind, passionate and dedicated colleagues, in an empowering environment, toward a global vision, striving for a future in which transformative molecular diagnostics can help millions of patients  
  • Open, transparent culture that includes weekly Town Hall meetings  
  • The ability to indirectly or directly change the lives of hundreds of thousands patients  
  • Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered up to 80%  
  • Extremely generous Family Bonding Leave for eligible employees (16 weeks, paid at 100%)
  • Supplemental fertility benefits coverage
  • Retirement savings program including a 4% Company match
  • Increase paid time off with increased tenure
  • Latest and greatest hardware (laptop, lab equipment, facilities)
  • Daily on-site lunches provided from top eateries
  • A variety of perks on campus (state of the art gym, restaurant)  
  • Free on-site EV charging (compatible with all EVs, including Tesla)  

At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.).  

For this position, we offer a total compensation package of up to $104,322 per year, including a base pay range of $75,029 - $85,748 per year.

BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

For more information about how we protect your information, we encourage you to review our Privacy Policy.

BillionToOne is a next-generation molecular diagnostics company on a mission to make powerful, accurate diagnostic tests accessible to everyone. Our revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA, a breakthrough that has already transformed the lives of over half a million patients worldwide.

Our Impact

Unity Complete™ is the only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample.

Unity Confirm™ enables non-invasive confirmation for high-risk screening results through the capture of intact circulating fetal cells using BillionToOne’s Fetal Cell Capture™ Technology.

Our Northstar® liquid biopsy test uniquely combines treatment selection with real-time monitoring, giving oncologists unprecedented precision in cancer care.

Our Growth

From $0 to $400M+ annualized revenue run-rate in just 6 years. In 2025, we completed one of the most successful IPOs for a medical diagnostics company, building on nearly $400M in private funding, including our $130M Series D in 2024 and backed by world-class investors including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest.

Our Recognition

Forbes named us one of America's Best Startup Employers for 2025 and we're Great Place to Work certified, with 100% of our people willing to go the extra mile, even as we've scaled to over 700 employees.

Our Future

Headquartered in Menlo Park with facilities in Union City, CA, and a new lab opening in Austin, TX in 2027, we're continuing to push the boundaries of what's possible in molecular diagnostics. We're just getting started.

Ready to help us change the world, one molecule at a time? Learn more at billiontoone.com

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Profluent
Permanent
September 8, 2026

Director, Software and Data Engineering

$268,000 — $355,000
Emeryville, California
Hybrid

Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.  

We’re looking for a Director of Software and Data Engineering to lead Profluent’s software engineering function and build the platform connecting AI-driven protein design, high-throughput experimental screening, and quantitative data analysis.

You’ll own the software and data architecture connecting computational designs to the constructs, samples, assays, and measurements generated through automated laboratory workflows. Your team will build the scientist-facing tools, integrations, and data systems needed to manage experimental data at scale, preserve lineage and context, and turn results into reliable inputs for analysis, machine learning, and the next round of design.

The ideal candidate is an experienced engineering leader with a strong technical foundation, sound judgment, and a track record of building scalable data platforms. You’ll manage and mentor a small team while remaining close to architecture, data modeling, and technical decision-making, partnering across science, automation, data, and ML to advance Profluent’s lab-in-the-loop platform.

Responsibilities

  • Lead, mentor, and grow Profluent’s software engineering team, with responsibility for technical direction, hiring, organizational development, and execution
  • Own the roadmap for software and data engineering, balancing scientific impact, user needs, delivery speed, scalability, and long-term platform strategy
  • Define the software and data architecture, system boundaries, and data flows connecting computational design, high-throughput experimentation, analysis, and machine learning
  • Architect and guide delivery of scientist-facing applications and data systems supporting experimental design, sample tracking, laboratory automation, assay data capture, and analysis
  • Establish scalable data models and standards for identifiers, provenance, lineage, versioning, interoperability, and access control, ensuring experimental results are reliable, reusable, and model-ready
  • Partner across science, automation, bioinformatics, data science, and ML while establishing strong engineering and product practices that drive reliable delivery and adoption

Qualifications

  • 8+ years of software engineering experience, including 3+ years managing or leading engineers
  • BS, MS, or PhD in Computer Science, Bioengineering, Computational Biology, or a related field, or equivalent practical experience
  • Track record of leading teams that architect and deliver production-quality, data-intensive software platforms
  • Strong technical foundation in Python, backend systems, databases, APIs, cloud infrastructure, and modern software development practices
  • Experience designing data architectures, schemas, and domain models for complex scientific, experimental, or similarly interconnected workflows
  • Demonstrated ability to translate ambiguous user and scientific needs into reliable systems, make sound technical and product tradeoffs, and drive adoption

Preferences

  • Experience building scientific data infrastructure, research software, LIMS integrations, or scientist-facing applications
  • Experience with Benchling, laboratory automation, instrument integration, sample tracking, or high-throughput experimental platforms
  • Experience connecting experimental workflows with downstream analysis and machine learning
  • Familiarity with biological data from protein engineering, gene editing, sequencing, screening, or mammalian or bacterial systems
  • Frontend development experience and an interest in building intuitive scientist-facing interfaces

What We Offer

  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • 401(k) with a strong employer match
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.  

Work Authorization Requirement

Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.

Employment Eligibility Verification

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.

TO ALL RECRUITMENT AGENCIES: Profluent does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Profluent is not responsible for any fees related to unsolicited resumes.

Hiring Salary Range$268,000 — $355,000 USD

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LatchBio
Permanent
September 8, 2026

AI Biologist - Cancer Biology (Applications)

$120K–$180K
San Francisco or Remote
Onsite or Remote

AI Biologist - Cancer Biology (Applications)

Latch builds rigorous, scientific benchmarks (benchmarks.bio) for AI agents across biology. We work with frontier labs and pharma to measure whether agents can handle real biological workflows; the messy, multi-layer reasoning that matters in the field.

About the Role

Our work in Cancer Biology means measuring whether an agent can take a tumor case from raw molecular data to a real clinical decision. You'll identify real cancer-biology datasets and turn them into rigorous, deterministically-graded tasks.

Our benchmarks are agentic and cross-domain. Each task hands an agent the artifacts a cancer researcher would actually have and asks for a concrete conclusion. Your job is to establish defensible reference analyses and scoring criteria across conclusion types, the benchmark measures that span basic cancer biology to clinical outcomes. You'll anticipate where agents take plausible but wrong turns and test whether they can handle experimental variability, incomplete data, conflicting evidence, and mechanism-driven tradeoffs.

Our team emphasizes cross-domain integration and long-horizon reasoning.

Requirements

  • 1+ years personally working in basic, translational, or clinical cancer biology. Experience with hands on analysis of multi-omic tumor data hands-on somatic/germline variant calling and interpretation (WES/WGS/panel; MAF/VCF), copy-number and structural-variant analysis, mutational signatures, bulk and single-cell RNA-seq (cell-state annotation, subtyping), tumor-immune contexture (immune deconvolution, spatial transcriptomics, multiplex imaging), subclonal reconstruction, or functional-genomics screens (CRISPR/RNAi), or clinical research is highly preferred.
  • Proficiency in Python and/or R: VCF/MAF parsing, single-cell analysis (Scanpy/Seurat), gene-set scoring (GSEA/ssGSEA), immune deconvolution (CIBERSORTx), subclonal reconstruction (PyClone), statistical analysis.
  • Understanding of cancer-genomics standards: AMP/ASCO/CAP and ACMG/AMP variant tiers, ESCAT and OncoKB actionability levels, PAM50 and Consensus Molecular Subtypes, IFN-γ/T-cell-inflamed signature, consensus Immunoscore.
  • Recognize experimental variability, and assay limitations; distinguish real biological signal from pipeline or annotation artifact.
  • Strong written communication on technical decisions, uncertainty, and alternative interpretations.

Nice-to-Have

  • Familiarity with cancer-genomics resources and standards: TCGA/GDC, PCAWG, AACR Project GENIE, cBioPortal, OncoKB/CIViC/VICC, COSMIC signatures, HTAN, Human Cell Atlas, DepMap/Project Score, gnomAD/ClinVar, MSigDB.
  • Breadth across multiple conclusion types like: diagnosis, mechanism, clonal evolution, immune contexture, target nomination, actionability.
  • Prior work on benchmarks, task-based assessment, or deterministic grading.

Culture @ Latch

How we work. Genuinely flexible schedules - we just ask that you communicate when you're coming in later than usual. We care most about hard work and output. We're respectfully opinionated, it will always be us against problems, not each other. Optimize for each other's time and bring solutions, not just problems. You'll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.

Office & Perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.

Compensation & Logistics

  • 1099 (or W8-BEN) contract, 40 hrs/week, no end date
  • Fully performance-based pay - OTE: $120K–$180K, uncapped upside. 2x quota = 2x pay.
  • 2-4 week paid ramp: full OTE during ramp
  • Remote (globally), hybrid, or onsite in SF (onsite preferred)
  • Work authorization: OPT visa holders only (not STEM Extension)
  • Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)
  • Candidates with all of the above qualifications + proven management skills will be eligible for more senior positions

Interview Process

Timeline: We move fast: 8 - 12 days from submission to offer.

  1. Intro Screen - Technical Recruiter
  2. Take-Home Project - HackerRank
  3. Technical Interview - Member of Technical Staff
  4. Culture Interview - C-Suite
  5. Offer

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Profluent
Permanent
September 4, 2026

Lead Scientist / Associate Director, Bioinformatics and Data Science

$205,379 — $245,632
Emeryville, California
Hybrid

Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.  

We’re seeking an experienced computational scientist to lead the design, development, and operation of the NGS analysis platform that powers Profluent’s gene editing, protein design, and therapeutic programs. You’ll work at the intersection of computational biology, software engineering, and experimental biology to build scalable systems that extract clear, actionable insights from large-scale sequencing data.

This is a high-impact leadership role at the intersection of computational biology, experimental science, and software engineering. You’ll define how Profluent characterizes the activity and specificity of novel gene editors, establish rigorous and reproducible practices across bioinformatics and data science, and mentor and grow a team as our platform and therapeutic programs scale.

Responsibilities

  • Lead the development and operation of Profluent’s NGS analysis platform for gene editing, protein design, and therapeutic programs
  • Develop scalable pipelines and analytical methods for new sequencing assays
  • Partner with wet-lab teams to design, test, troubleshoot, and validate new assays
  • Lead computational characterization of gene-editor on-target activity, specificity, and off-target effects
  • Translate sequencing data into clear biological insights, program decisions, and regulatory-ready analyses
  • Collaborate with computational teams to curate high-quality datasets for model training and evaluation
  • Establish rigorous, reproducible practices for analytical validation, testing, documentation, and code review
  • Recruit, mentor, and develop a high-performing bioinformatics and data science team

Qualifications

  • PhD or MS in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field
  • PhD with 5+ years or MS with 7+ years of industry experience applying NGS and computational analysis to gene or cell therapy development
  • Deep expertise in the design, analysis, and interpretation of high-throughput sequencing assays
  • Strong programming and quantitative analysis skills, particularly in Python
  • Proven ability to translate complex sequencing data into clear biological insights and program decisions
  • Experience partnering closely with experimental scientists to guide assay design, troubleshoot results, and define follow-up studies
  • Demonstrated scientific leadership, including setting analytical strategy, leading complex cross-functional projects, and mentoring computational scientists
  • Experience developing scalable, reproducible, and well-validated computational workflows

Preferences

  • Experience with CRISPR-based gene editing data and analysis
  • Familiarity with SQL and data modeling for biological or experimental data
  • Experience with LIMS platforms (e.g., Benchling) and lab data integration
  • Track record of developing production-quality scientific software and tools

What We Offer

  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • 401(k) with a strong employer match
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.  

Work Authorization Requirement

Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.

Employment Eligibility Verification

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.

TO ALL RECRUITMENT AGENCIES:

Profluent does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Profluent is not responsible for any fees related to unsolicited resumes.

Hiring Salary Range

$205,379 — $245,632 USD

‍

BillionToOne
Internship
September 4, 2026

Research Associate Intern

$25/HR
Menlo Park, CA
Onsite

A Rare Opportunity to Shape the Future of Genomics

Join a team of brilliant, passionate innovators determined to transform healthcare. At BillionToOne, we've built a category-defining, publicly traded company on Nasdaq where transparency fuels trust, collaboration drives breakthroughs, and every contribution moves the needle on our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we build products that are 10x better than anything that exists today.

Our scientists, engineers, sales executives, and visionaries are united by an unwavering commitment to changing the standard of care in prenatal and cancer diagnostics. This is where cutting-edge science meets human compassion, and every innovation you contribute helps remove the fear of the unknown from some of life's most critical medical moments.

If you're driven by purpose, energized by innovation, and ready to help shape the future of precision medicine at scale, this is where you belong.

The Research Associate Intern position at BillionToOne is exceptionally rare at the undergraduate or early-career level. At BillionToOne, you will do much more than simply run routine protocols. Your work will shape the development of high-impact molecular diagnostic products that are actively changing patient outcomes in both oncology and prenatal medicine. This is your chance to contribute to building novel molecular tests that help patients from day one.

You will work alongside and be mentored by scientists with interdisciplinary expertise across molecular biology, genomics, bioinformatics, and quantitative modeling. You will have the chance to use cutting-edge molecular techniques, next-generation sequencing, and robotic tools to move assays from research prototypes to commercially available products run at large scale on real patient samples in our clinical lab. Whether your ambition is to grow here at BillionToOne or ultimately pursue graduate studies, this position would be a solid foundation for your scientific career.

The Research Associate intern is an on-site position in our Menlo Park, CA office.

Who We’re Looking For:

  • Strong statistical and quantitative skills: You think rigorously about data. You understand the difference between signal and noise, appreciate the importance of statistical power, and bring quantitative reasoning to every problem.
  • Meticulous attention to experimental detail: You understand that the quality of an experiment determines what we can learn from it. You keep rigorous records, design careful controls, and take pride in work that others can rely on and build upon.
  • Ambition to make a difference now: You aren’t here to punch the clock. You want to understand why things work, push the boundaries of what’s known, and do what it takes to see your contributions show up in products that help real patients.

Responsibilities:

  • Design, execute, and troubleshoot experiments and assays under the guidance of Senior Scientists
  • Learn analytical and computational methodologies to analyze results under the guidance of Senior Scientists
  • Present scientific findings both verbally at group meetings and via internal written reports
  • Document experimental details and results

Qualifications:

  • Anticipated BS or MS in Bioengineering, Molecular and Cell Biology, Microbiology, Biophysics, Biochemistry, or related field
  • Independent research experience
  • An ability to quickly learn mathematical, analytical, and experimental concepts
  • High mathematical and statistical aptitude (e.g., you find GRE math section to be extremely easy)
  • Great attention to detail

Nice-To-Haves:

  • Experience with standard molecular biology techniques relating to DNA such as PCR
  • Experience in a cell-free DNA setting
  • Experience with next-generation sequencing library preparation
  • Experience with computational analysis in R, Python, or other programming language

Benefits And Perks:

  • Working with a team of ‘rockstars’ who bring out the best in everyone  
  • Open, transparent culture that includes weekly Town Hall meetings  
  • The ability to indirectly or directly change the lives of hundreds of thousand patients  
  • Free daily on-site lunches provided from top eateries  
  • Latest and greatest hardware (laptop, lab equipment, facilities)  
  • A variety of perks on campus (state of the art gym, restaurant)  
  • Free on-site EV charging (compatible with all EVs, including Tesla)  

At BillionToOne, we are proud to offer a combination of (1) competitive base pay, and (2) the opportunity for professional growth.  

For this position, the base pay rate is $25 per hour.

BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

For more information about how we protect your information, we encourage you to review our Privacy Policy.

BillionToOne is a next-generation molecular diagnostics company on a mission to make powerful, accurate diagnostic tests accessible to everyone. Our revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA, a breakthrough that has already transformed the lives of over half a million patients worldwide.

Our Impact

Unity Complete™ is the only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample.

Unity Confirm™ enables non-invasive confirmation for high-risk screening results through the capture of intact circulating fetal cells using BillionToOne’s Fetal Cell Capture™ Technology.

Our Northstar® liquid biopsy test uniquely combines treatment selection with real-time monitoring, giving oncologists unprecedented precision in cancer care.

Our Growth

From $0 to $400M+ annualized revenue run-rate in just 6 years. In 2025, we completed one of the most successful IPOs for a medical diagnostics company, building on nearly $400M in private funding, including our $130M Series D in 2024 and backed by world-class investors including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest.

Our Recognition

Forbes named us one of America's Best Startup Employers for 2025 and we're Great Place to Work certified, with 100% of our people willing to go the extra mile, even as we've scaled to over 700 employees.

Our Future

Headquartered in Menlo Park with facilities in Union City, CA, and a new lab opening in Austin, TX in 2027, we're continuing to push the boundaries of what's possible in molecular diagnostics. We're just getting started.

Ready to help us change the world, one molecule at a time? Learn more at billiontoone.com

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LatchBio
Permanent
September 1, 2026

AI Biologist - Metagenomics

$120K–$180K
San Francisco or Remote
Remote

AI Biologist - Metagenomics

As molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry. Latch is building intelligent, high-performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs to handle data from instrument-to-insights.

We're seeking an AI Biologist to join our Metagenomics team, working at the frontier of what artificial intelligence can achieve in biology.

About the Role

You will contribute to our technical approach for evaluating how AI agents reason through complex microbiome and metagenomics datasets. Working with software engineers and computational biologists, you'll build ground-truth benchmark datasets drawn from real published microbiome studies that rigorously test whether agents can perform the critical analytical and interpretive steps that expert microbiome researchers execute.

Your deep expertise in microbiome biology, metagenomics analysis, and the ability to identify confounders and technical artifacts will define how we measure agent capability in computational microbiology.

Requirements

  • Master's or PhD in microbiology, microbial ecology, bioinformatics, biology, or related field
  • 3+ years of hands-on research experience with microbiome or metagenomics data, demonstrated through publications or industry work
  • Deep expertise in at least one of:
    • Human microbiome and disease (e.g. IBD, CRC, obesity)
    • Longitudinal microbiome or microbiome interventions (e.g. FMT, diet, antibiotics)
    • Microbial function and metabolism
    • Plant, soil, or environmental microbial ecology
  • Experience interpreting microbiome data in biological context and identifying confounders, technical artifacts, and limitations of the underlying experiments
  • Proficiency in Python and/or R for biological data analysis and visualization
  • Familiarity with 16S and/or shotgun metagenomics, including taxonomic, functional, and community-level analysis

Nice-to-Have

  • Hands-on experience designing or troubleshooting microbiome experiments, including sampling, extraction, controls, or library preparation
  • Experience integrating metagenomics with metabolomics, metatranscriptomics, host omics, or clinical phenotypes
  • Experience with strain-level analysis, metagenomic assembly, MAGs, or long-read sequencing

Culture @ Latch

How we work. Genuinely flexible schedules - we just ask that you communicate when you're coming in later than usual. We care most about hard work and output. We're respectfully opinionated, it will always be us against problems, not each other. Optimize for each other's time and bring solutions, not just problems. You'll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.

The office & perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.

Compensation & Logistics

  • 1099 (or W8-BEN) contract, 40 hrs/week, no end date
  • Fully performance-based pay: $120K–$180K, uncapped upside. 2x quota = 2x pay.
  • 2-4 week paid ramp—full OTE from day one
  • Remote (globally), hybrid, or onsite in SF (onsite preferred)
  • Work authorization: OPT visa holders only (not STEM Extension)
  • Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)
  • Candidates with all of the above qualifications + proven management skills will be eligible for more senior positions

Interview Process

Timeline: We move fast: 8–12 days from submission to offer.

  1. Intro Screen - Technical Recruiter
  2. Take-Home Project - HackerRank
  3. Technical Interview - Member of Technical Staff
  4. Culture Interview - C-Suite
  5. Offer

‍

Astera
Permanent
September 1, 2026

Principal AI Scientist (Polytope Bio)

$250,000 to $350,000
Remote
Remote

About Astera

Astera is a private foundation on a mission to steer science and technology toward an abundant future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to dramatically accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive scientific progress.  

Unlike traditional non-profit research organizations, projects supported by Astera operate like high-velocity startups, allowing us to focus on ambitious goals, match structure to problem, and attract strong technical talent and leadership. You can read more about our mission, vision, and programming at astera.org/vision.  

Position Summary

Today's frontier biological AI models are trained almost entirely on static, pre-existing data. They are powerful pattern matchers, but lack feedback from real biology.

Polytope Bio is a residency project at Astera that is building the missing piece: a post-training engine that closes the loop between frontier AI models and high-throughput biology. Our work will power new applications in generative biology by aligning frontier AI models directly to experimental measurements of what actually folds, binds, and functions.

We are looking for a Principal AI Scientist to help launch our AI research program. You will be joining at the point of maximum leverage: early enough to shape the scientific direction, the modeling approaches, and the training strategy. The project is resourced with significant compute, financial runway, and the ability to generate large-scale prospective biological datasets. The researcher in this role will work hands-on to develop and publish new reinforcement learning methods and bio AI models leveraging datasets created by our unique high-throughput biology platform.

Longer-term, we are seeking a candidate who is driven by the prospect of growing their leadership of the AI research program. While our immediate focus is on collaborative research strategy and execution, the candidate will have the potential to develop into a co-founding leadership position in the event of a successful spinout.

Responsibilities:

  • Co-direct the research program: Partner directly with the founder to shape the scientific vision, research direction, and technical execution.
  • Develop RL feedback loop: Design, implement, and improve model post-training methods that translate high-throughput biological measurements into direct reward signals for biological language models.
  • Hands-on engineering: You will work directly with the technical founder to architect model training infrastructure and build, run, and debug models, training loops, and evaluation metrics.
  • Bridge wet/dry lab: Partner with the experimental team to ensure that what we measure in the lab and what the models learn are designed as a single, cohesive system.

Qualifications and Experience

  • Research Experience: PhD in machine learning, computational biology, or a related field with a minimum of 2 to 5 years of industry research experience post-PhD (accomplished researchers without a PhD are also encouraged to apply).
  • Model Training: You have trained models from scratch, not just fine-tuned or called APIs. You have owned real training runs, know where they break, and know how to debug them.
  • Modern Algorithms: Hands-on experience with generative diffusion models and/or transformer architectures.
  • Reinforcement Learning: Deep familiarity with modern reinforcement learning and preference-optimization methods for deep learning.
  • Builder mindset: A track record of strong research via publications, open-source work, shipped models, or equivalent evidence that you drive results. You are highly self-directed but thrive in a tight-knit, collaborative founding partnership.
  • Entrepreneurial spirit: Comfort operating with ambiguity and research ownership. You are excited to build the infrastructure and grow the team.

Strong Pluses

  • Familiarity with biological research (protein modeling, sequence models, structural biology, or adjacent areas).
  • Experience building and scaling training infrastructure on large GPU clusters.
  • Past team management and technical leadership experience.

Location

Preference for candidates able to co-locate in NYC or SF Bay Area. Remote work is possible for the right candidate.

What we offer

  • Compensation: Base salary of $250,000 to $350,000 during the residency.
  • Upside: The potential for a co-founding leadership role in a future spinout, contingent on project success and mutual fit.
  • Scientific Impact: Authorship of high-impact open-source datasets, methods, and models.
  • Resources: Significant secured runway and dedicated GPU resources.
  • Unique Environment: A rare combination of frontier ML work directly coupled to a purpose-built, high-throughput experimental engine.
  • Comprehensive Benefits: Full benefits package including health insurance, a company sponsored retirement plan, vision, dental, and more.

‍

Astera
Permanent
August 27, 2026

Senior/Staff AI Scientist (Polytope Bio)

$200K - $300K
NYC / SF / Remote
Remote

About Astera

Astera is a private foundation on a mission to steer science and technology toward an abundant future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to dramatically accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive scientific progress.  

Unlike traditional non-profit research organizations, projects supported by Astera operate like high-velocity startups, allowing us to focus on ambitious goals, match structure to problem, and attract strong technical talent and leadership. You can read more about our mission, vision, and programming at astera.org/vision.  

Position Summary

Today's frontier biological AI models are trained almost entirely on static, pre-existing data. They are powerful pattern matchers, but lack feedback from real biology.

Polytope Bio is a residency project at Astera that is building the missing piece: a post-training engine that closes the loop between frontier AI models and high-throughput biology. Our work will power new applications in generative biology by aligning frontier AI models directly to experimental measurements of what actually folds, binds, and functions.

We are looking for a Senior/Staff AI Research Scientist to join our foundational team. You will be joining at the point of maximum leverage: early enough to influence the modeling approaches, experimental design, and training strategy. The project is resourced with significant compute, financial runway, and the ability to generate large-scale prospective biological datasets. The researcher in this role will work hands-on to develop and publish new reinforcement learning methods and generative AI models leveraging datasets created by our unique high-throughput biology platform.

While our immediate focus is on hands-on research and rapid execution, there is potential for the right candidate to evolve into a co-founding technical or leadership role in the event of a future spinout.

Responsibilities:

  • Drive core research: Work closely with the technical founder and team to develop and execute the scientific vision, develop cutting-edge modeling approaches, and iterate rapidly on new ideas.
  • Develop RL feedback loop: Design, implement, and improve model post-training methods that translate high-throughput biological measurements into direct reward signals for biological language models.
  • Hands-on engineering: You will work directly with the technical team to architect model training infrastructure and build, run, and debug models, training loops, and evaluation metrics.
  • Bridge wet/dry lab: Partner with the experimental team to ensure that what we measure in the lab and what the models learn are designed as a single, cohesive system.

Qualifications and Experience

  • Research Experience: PhD in machine learning, computational biology, or a related field, with a minimum of 1-2 years of post-PhD research or industry experience (accomplished researchers without a PhD are also encouraged to apply).
  • Model Training: You have trained models from scratch, not just fine-tuned or called APIs. You have owned real training runs, know where they break, and know how to debug them.
  • Modern Algorithms: Hands-on experience with generative diffusion models and/or transformer architectures.
  • Reinforcement Learning: Familiarity with modern reinforcement learning and preference-optimization methods for deep learning.
  • Builder mindset: A track record of strong research via publications, open-source work, shipped models, or equivalent evidence that you drive results. You are highly self-directed but thrive in a tight-knit, collaborative early-stage environment.
  • Entrepreneurial spirit: Comfort operating with ambiguity and a desire to build something new. You are excited to tackle hard problems and potentially transition into a technical co-founder in the future.

Strong Pluses

  • Familiarity with biological research (protein modeling, sequence models, structural biology, or adjacent areas).
  • Experience building and scaling training infrastructure on large GPU clusters.

Location

Preference for candidates able to co-locate in NYC or SF Bay Area. Remote work is possible for the right candidate.

What we offer

  • Compensation: Base salary of $200,000 to $300,000 during the residency.
  • Upside: The potential to evolve into a co-founding technical role in a future spinout, contingent on project success and mutual fit.
  • Scientific Impact: Authorship of high-impact open-source datasets, methods, and models.
  • Resources: Significant secured runway and dedicated GPU resources.
  • Unique Environment: A rare combination of frontier ML work directly coupled to a purpose-built, high-throughput experimental engine.
  • Comprehensive Benefits: Full benefits package including health insurance, a company sponsored retirement plan, vision, dental, and more.

‍

Proxima
Permanent
August 24, 2026

AI Scientist

TBD
Zurich
Onsite

About Proxima

Proxima (formerly VantAI) is advancing an AI-native approach to drug discovery by making protein interactions programmable. Our platform brings together foundation-model machine learning, a scalable data generation engine, and a partnership track record exceeding $5B in collaborations across the world’s leading biopharma and tech organizations. We’ve recently closed an oversubscribed seed round partnering us with an elite group of sophisticated and dedicated VCs including DCVC, Nvidia’s Nventures, AIX, Yosemite among others.

Neo-1 is our all-atom foundation model that combines state-of-the-art structure prediction and molecular generation in a single system. Neo-1 enables rapid exploration of chemical and structural space for high value, previously intractable targets, and in particular unlocks small molecule proximity therapeutics like molecular glues with AI for the first time.

In parallel, we are developing an advanced structural interactomics platform built on proprietary XLMS technology and a lab equipped with next-generation mass spectrometry instrumentation. This platform produces proteome-scale maps of protein interactions and helps identify small molecules that modulate proximity. Together with Neo-1, it creates an integrated system capable of co-folding protein complexes while generating candidate small molecules to influence those interactions.

Proximity-based therapeutics represent one of most promising frontiers in modern drug discovery with the potential to treat previously intractable diseases and target ‘undruggable’ proteins. Our technology combines proteome-scale structural data with state-of-the-art generative AI foundation models, and coupled with our talented team of scientists and engineers we are uniquely well-positioned to discover and develop a new class of medicines. Come join us!

About You

We are looking for talented AI Scientists to join our team to develop the world’s most advanced pipeline for the design of proximity-inducing molecules. You will conduct research at the bleeding edge of our field, and challenge the SOTA across protein structure prediction and molecular glue design. You will work with a team of world-class machine learning research scientists in an interdisciplinary, research-heavy position on a range of unsolved problems.

Key Responsibilities

  • Scientifically direct the design and training of large-scale, state-of-the art deep learning systems  
  • Develop novel architecture and training paradigms to lead the industry in unsolved scientific problems  
  • Collaborate with content experts from other domains (e.g., chemistry, physics, biology) to enable innovative feature-engineering and novel cross-disciplinary approaches  
  • Actively contribute to top-tier ML conferences and journals and attend core ML conferences to stay connected with the community and current trends  

Basic Requirements  

  • MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry or other related subject (will also consider BS degrees in these areas for candidates highly qualified across other requirements or with significant work experience)  
  • Track record of contributing to novel methods for state-of-the-art leep learning (in industry or through publications)  
  • Expertise in ideally several of the following topics: diffusion models, flow matching, transfusion, discrete diffusion, latent diffusion, VAEs, image generation, video generation, LLMs, multimodal LLMs, pre-training, post-training, reinforcement learning, SFT, DPO/GRPO, conditioning, classifier(-free) guidance, LORA, constrained generation scaling, distributed training, tokenization, geometric deep learning, equivariant models, structure-based drug design (SBDD), structure prediction / cofolding, curriculum learning, multi-task learning, transfer learning
  • 4+ years of ML research experience in industry or academia, with strong familiarity with PyTorch
  • Ability to understand business problems and how to build models that can quickly drive value, while prioritizing your research efforts accordingly

Preferred Qualifications

  • Strength across core ML fundamentals
  • Deep experience in core NLP/CV
  • Extensive hands-on experience and ability to design and tune models from scratch
  • Experience with large models and scaling
  • Experience with generative models for molecules/proteins

Full-Time Employees at Proxima enjoy these Perks*:

  • Highly competitive salaries
  • Company Equity Package, everyone is a stakeholder!
  • 401(k) + Company Match
  • Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
  • 13 Paid Holidays + Unlimited PTO & Sick Time
  • Maternity leave 18 Weeks of fully paid leave + 6 weeks for Paternity leave
  • In-Office Lunch (5 days per week)

*for US based FTEs, country specific benefits apply for locations outside US

‍

Precede Biosciences
Permanent
August 24, 2026

Associate Scientist / Scientist I, Computational Test Development

TBD
Boston, MA
Onsite

The Opportunity

We are seeking a motivated and detail-oriented Associate Scientist / Scientist I to join our Computational Test Development team at Precede Biosciences. Reporting to our Senior Director, Computational Test Development, this role is focused on the execution and analysis that underpins our diagnostic assay characterization and validation programs.

This is a hands-on computational role. You will run analyses, build and maintain quality assessment frameworks, execute in silico simulations, and generate the data-driven outputs that feed directly into our regulatory submissions. If you are energized by rigorous data analysis, take pride in clean and reproducible work, and are excited to contribute to diagnostics that could change how cancer is detected and treated, we want to hear from you.

About Us

We are pioneering an advanced, minimally invasive, comprehensive epigenomics platform with the potential to profoundly impact the research and development of new medicines and the use of approved medicines in clinical practice across a number of conditions, including cancer. More information on our company and platform can be found on our company website and in our seminal publication in Nature Medicine.  

We care deeply about creating a place where folks can do their best work from the start and have intentionally created an environment that is defined by purpose, teamwork, and excellence. This means nurturing team spirit, facing challenges together, and collaboratively solving complex problems, while also ensuring a strong focus on individual initiative, accountability, and delivery.  

What You'll Do

Assay Characterization & Validation

  • Execute data analyses supporting assay characterization across multiple epigenomic and NGS-based diagnostic tests — from raw data processing through performance metric generation.
  • Design and implement quality assessment frameworks to evaluate assay and pipeline performance, including QC metric definition, threshold setting, and failure mode identification.
  • Run and interpret validation experiments in close coordination with wet lab and senior computational team members, contributing to study execution against pre-defined protocols.
  • Pursue defined research questions semi-independently — taking a scoped problem, designing the analytical approach, executing, and returning well-documented results.

In Silico Simulation & Thresholding

  • Design and run in silico simulations to model assay behavior under variable conditions — including signal dropout, coverage non-uniformity, and input DNA variability.
  • Develop and apply statistical approaches to threshold setting and performance boundary definition, supporting limit of detection and analytical range characterization.
  • Systematically explore parameter sensitivity across bioinformatics pipelines to assess model robustness and inform feature selection.

Regulatory Support & Communication

  • Produce clear, thorough documentation of all analyses code, methods, results, and interpretation to the standard required under design controls.
  • Contribute to the authoring of SOPs and analytical summary reports.
  • Partner closely with wet lab scientists to ensure computational analyses are grounded in experimental reality and that results are communicated in accessible, actionable terms.
  • Present analytical findings clearly in team meetings and cross-functional settings.
  • Contribute to a collaborative team environment by sharing code and knowledge openly and proactively.

Who You Are

  • MSc in computational biology, bioinformatics, biostatistics, or a closely related quantitative field with 3–4 years of industry or post-graduate research experience in a data-intensive biological or biomedical setting, Ph.D. preferred.
  • Strong proficiency in R and Python for data analysis, visualization, and reproducible reporting — you write, own, and document your own code.
  • Experience with cloud computing environments (AWS) for running scalable analyses.
  • Demonstrated ability to execute analytical plans with precision and efficiency, managing multiple tasks without a drop in quality or documentation standards.
  • Familiarity with NGS data types and standard processing pipelines — alignment, QC, coverage analysis, or equivalent.
  • Clear and organized communicator — written documentation, results presentations, and cross-functional interactions alike.
  • Comfortable working in a fast-paced startup environment, following defined protocols while contributing ideas for improvement.

Nice to have:

  • Exposure to regulated environments — CLIA, CAP, FDA IVD, or design controls in any form.
  • Experience with epigenomic data types — methylation, cfDNA, chromatin accessibility, or ChIP-seq.
  • Familiarity with statistical thresholding or limit of detection frameworks for diagnostic applications.
  • Experience contributing to SOPs, validation reports, or other regulated documentation.

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Grail
Permanent
August 18, 2026

Senior Scientist, Operations Investigation Team (OIT) #4936

$122,000 - $147,000
Durham, NC
Onsite

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.

We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.

GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.

For more information, please visit grail.com

The Senior Scientist is an experienced scientific individual contributor responsible for investigating platform and assay performance issues, identifying root causes, and developing technical solutions to improve platform reliability and operational performance. As a member of the Operations Investigation Team (OIT), this role independently conducts scientific investigations, collaborates across functions, and drives continuous improvement through data-driven problem solving and process optimization.

This position works on-site full-time, 5 days/week at our office located in Durham, NC

Responsibilities:

  • Independently design, plan, and execute experiments to investigate platform performance issues and support troubleshooting efforts.
  • Analyze experimental data, identify root causes, and develop scientifically sound recommendations.
  • Develop, optimize, and troubleshoot experimental methods, workflows, and analytical tools to improve platform robustness, reliability, and efficiency.
  • Investigate sources of technical variability and recommend corrective and preventive actions.
  • Prepare technical reports, presentations, and investigation summaries to communicate findings and recommendations.
  • Collaborate with cross-functional teams, including R&D, Operations, Engineering, Quality, Manufacturing, and Data Science, to resolve platform-related issues.
  • Provide technical expertise in experimental design, troubleshooting strategies, and data interpretation.
  • Contribute to the development of new technologies, analytical tools, and process improvements that enhance platform performance.
  • Ensure compliance with laboratory safety, quality, and applicable regulatory standards.
  • These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion.

Required Qualifications:

  • Ph.D. in Molecular Biology, Biochemistry, Biotechnology, or a related scientific discipline with 2+ years of relevant experience; OR Master's degree with 5+ years of relevant experience; OR Bachelor's degree with 8+ years of relevant experience.
  • Strong expertise in molecular biology, NGS technologies, assay development, or related experimental disciplines.
  • Experience with laboratory or biotech automation platforms (e.g., liquid handlers, robotic workcells, automated sample-processing systems) is highly desirable.
  • Proven experience independently designing and executing experiments and solving complex technical problems.
  • Demonstrated experience conducting root-cause investigations and developing practical technical solutions.
  • Strong scientific communication and technical presentation skills.
  • Experience working in regulated laboratory environments is preferred.

Preferred Qualifications:

  • Advanced troubleshooting, analytical, and root-cause investigation skills.
  • Strong experimental design and data interpretation capabilities.
  • Ability to manage multiple investigations and priorities in a fast-paced environment.
  • Strong collaboration and communication skills with cross-functional teams.
  • Innovative, self-motivated, and results-oriented with a continuous improvement mindset.

Physical Demands and Environment:

  • Work may be performed in laboratory and office environments with exposure to biological samples, chemicals, and laboratory equipment.
  • Requires appropriate personal protective equipment (PPE).
  • May require extended hours to support critical investigations.
  • Regular laboratory activities, including pipetting and operation of laboratory instrumentation.

The expected, full-time, annual base pay scale for this position is $122,000 - $147,000. Actual base pay will consider skills, experience, and location.

This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.

GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at rc@grailbio.com if you require an accommodation to apply for an open position.

GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!

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Basecamp Research
Permanent
August 11, 2026

Production Sequencing Lead

TBD
London
Onsite

About us

Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organizations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development.  

In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognized with honors including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups.

At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet’s greatest challenges - we just need to go out and discover them! If you feel passionate about the power of biology, data, and AI to build a better world, we’d love to hear from you.

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The Role

This role is the operational spine of the Trillion Gene Atlas. You will own the sample-to-sequence pipeline end-to-end, driving throughput, translating R&D into production, and leading the team that keeps the Atlas growing.

• Own the TGA production pipeline. Provide agile, end-to-end management of the sample processing pipeline across Phase 1 and Phase 2 - from DNA extraction through library preparation and sequencing dispatch. You set the pace and hold the targets.

• Lead technical transfer from R&D into production. Work closely with our R&D team to translate validated protocols into robust, scalable production workflows. You are the bridge between experimental and operational - ensuring new methods land cleanly and run reliably at volume.

• Drive continuous improvement. Apply Lean / Six Sigma principles to continuously improve turnaround times, reduce variability, and increase throughput. Identify bottlenecks, implement fixes, and build improvements back into the standard workflow.

• Monitor data input and pipeline health. Work with data suppliers and internal bioinformatics teams to ensure smooth, high-quality data return from sequencing partners. Track key metrics, flag issues early, and close the loop between production and downstream analysis.

• Lead and develop the production team. You will be the operational lead for the TGA lab team - managing day-to-day workflow, mentoring junior staff, and building a culture of precision, accountability, and pace as we scale through Phase 2.

• Horizon scan and deploy new technologies. Stay ahead of emergent sequencing technologies, automation platforms, and workflow innovations. Evaluate fit for TGA production targets and move and sync quickly to pilot and implement where there is clear operational value.

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Required Skills and Experience

• 5+ years working in a production-based environment for high-throughput sequencing, with a confident track record running a small team to deliver high-impact work on time.

• Deep familiarity with short-read (Illumina / Ultima) and long-read (PacBio / Nanopore) platforms and library preparation workflows end-to-end.

• Demonstrable track record applying Lean / Six Sigma in a laboratory production setting - waste reduction, throughput improvement, SOP development.

• Experience with laboratory automation - developing, validating, and maintaining automated liquid handling and sample processing workflows.

• Strong team leadership capability - managing production schedules, resource allocation, and multi-person workflows under throughput pressure.

• Experience with LIMS platforms (Benchling or equivalent) for sample tracking and workflow management.

• Background in technical transfer and SOP writing for handoff between R&D and production teams.

• Comfort working across interdisciplinary teams, bioinformatics, data science, collaborations, to align production outputs with downstream analytical needs.

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Advantageous Skills and Experience

• Hands-on DNA extraction experience across diverse sample types including soils, environmental, and biological matrices.

• Familiarity with multiplexed library preparation strategies for low-biomass and environmentally complex samples.

• Experience with metagenomic or environmental sequencing projects at scale.

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What we offer in return

• Impactful Mission: This is a rare opportunity to do work that genuinely matters. You'll join a talented, fast-moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics.

• Collaborative Culture: You'll be surrounded by world-class scientists, engineers, and researchers who care deeply about their work and about each other. With offices in Boston and London, we've built a flexible, cross-functional environment where personal development and real ownership aren't just talking points.

• High Growth: We truly believe in investing in our people and their development, we have twice yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace and we ensure reward increases with impact.

• Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, pension plan, and healthcare so strong that most employees' family members opt into our plan over their own.

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Apply for the job

Do you want to join our team as our new Production Sequencing Lead? Then we'd love to hear about you!

We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating do let us know.  

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Element Biosciences
Permanent
August 11, 2026

Associate Director, Product Management – Software, Multiomics Data Partnerships

$180,000 - $226,000
San Diego, CA
Onsite

At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.  

We are seeking an experienced Associate Director of Product Management to own our software and bioinformatics products & roadmap and to represent Element in emerging conversations about AI and multiomics data; how we structure partnerships around the data our platforms generate, and where AI creates real product value. This role is ideal for a product manager with deep life-science and R&D/engineering fluency who is equally comfortable in a partner-facing conversation about data strategy and business models. This position will interface directly with R&D teams building tool and solutions and provide strategic direction to the evolution of software and AI-based products that support Element’s technology.  

This role will report to the SVP of Product Strategy and will be an onsite role based in San Diego.

If you possess the following and want to make a meaningful impact, we invite you to explore this role.

Essential Functions and Responsibilities:

  • Define and evolve the product vision, strategy, and roadmap for Element's software and bioinformatics tools
  • Work closely to align internal R&D teams and external users to a shared vision that enables multiomic analysis
  • Translate business goals and customer insights into product initiatives aligned with the company's mission
  • Work closely with researchers, bioinformaticians, and R&D software engineering to deeply understand workflows, pain points, and data needs
  • Prioritize features and requirements based on VOC, usage data, and business impact, using the same process the rest of the PM team runs to maximize feature ROI
  • Represent Element in conversations with pharma, biotech, and AI/technology partners about structuring access to and monetization of multiomics data: data licensing, co-development, and platform/API models
  • Contribute to on pharma alliance conversations where AI implementation or data analysis is key to success.
  • Build and maintain Element's point of view on where AI creates real product value, and evaluate technology/data partners for build-vs-partner decisions
  • Collaborate with software engineers, bioinformaticians, R&D, and commercial/marketing teams to deliver high-impact solutions
  • Define and own detailed product requirements (PRDs, user stories); sit on the PM leadership team, core teams
  • Collaborate with commercial and support teams to drive successful launches, training, and customer adoption
  • Monitor usage metrics and customer satisfaction, and iterate to ensure product-market fit

Education and Experience:

  • Life Sciences degree with 8+ years of product management experience (or an advanced degree with 6+ years), including end-to-end ownership of a software or bioinformatics/data product at increasing scope
  • Background in genomics, multiomics, or a closely related life-science domain; you need to understand what the data means, not just how it's structured
  • Track record of owning a product area end-to-end and representing it directly to executive leadership; experience mentoring or informally leading other PMs is a plus
  • Demonstrated day-to-day collaboration with R&D/engineering teams on software or bioinformatics products
  • Able to carry partner- and customer-facing conversations about data strategy, business models, and AI largely independently; this role represents Element in the room, not just prepares materials for someone else
  • Prior experience structuring or negotiating a data licensing, co-development, or platform partnership (life sciences, healthcare, or an adjacent data-rich industry) is a plus
  • Familiarity with applied AI/ML in a life-sciences or data-heavy product context is a plus
  • Experience in a company transitioning from a hardware/consumables business model toward a software- or data-inclusive one is a plus

Physical Requirements:

  • Must be flexible in working hours as this position may require customer support during non-regular business hours

Location:

  • San Diego

Travel:

  • 20–25% in the US and internationally for partner and customer engagements

Job Type:

  • Full-time, Exempt

Base Compensation Pay Range:

  • $180,000 - $226,000

In addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off.  

Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience.  

We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.  

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Altos Labs
Permanent
August 7, 2026

Scientist I, Disease Biology

$134,700 - $172,700
Redwood City, CA
Onsite

Our Mission

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.

For more information, see our website at altoslabs.com.

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Our Value

Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.

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Diversity at Altos

Altos Labs has been named one of the Top 3 Biotech Companies and ranked for the second year on the Forbes 2026 Best Startups in America list. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.

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What You Will Contribute To Altos

We are looking for a talented and versatile Scientist I to join Discovery Science at Altos Labs. Our team uses functional genomics to unravel the deep biology of cellular rejuvenation and to restore cell health and resilience. In this role you will develop physiologically relevant in vitro and ex vivo disease models and integrate these with in vivo studies to identify interventions that reverse disease-associated cell states. If you have a strong foundation in molecular, cell, and disease biology, hands-on experience with in vitro and in vivo disease assays, and a passion for reversing disease states, we’d love to have you on the team.

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Responsibilities

• Design and execute innovative research strategies to identify causal regulators of cell state, aging, regeneration, and disease biology.

• Develop, benchmark, and validate disease cell models of age-related and disease-associated cell states.

• Scale assays to screen candidate interventions across cell models, and contribute to data-driven prioritization decisions on which candidates and which models to advance.

• Design, conduct, and interpret in vivo studies to evaluate candidate interventions and benchmark disease models against in vitro findings.

• Elucidate the mechanisms of action underlying promising interventions to identify and prioritize therapeutic targets and modalities.

• Support and manage internal/external collaborations across one or more multidisciplinary projects to accelerate essential research activities.

• Develop project-specific experimental strategies, techniques, and procedures.

• Collaborate closely with other scientists and cross-functional teams to integrate multidimensional datasets and generate actionable biological insight.

• Contribute to the writing and dissemination of research results.

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Who You Are

Minimum Qualifications

• PhD in Biology, Cell Biology, Physiology, or a related field, with 0-3 years of post-PhD experience.

• Proven track record of elucidating complex age-associated disease mechanisms, including but not limited to kidney, lung, liver and skin indications.

• Experience developing and validating cell-based disease assays, including benchmarking assay performance.

• Strong hands-on experience conceptualizing and performing rodent in vivo disease assays, with a background in relevant laboratory techniques and methods.

• Excellent professional writing skills and the ability to communicate through writing and presentations to a variety of audiences, from senior executives to entry-level employees.

• Problem-solving skills sufficient to identify issues, conduct research, and develop innovative solutions.

• Ability to maintain cooperative working relationships with a broad range of people, including staff colleagues, lab members, faculty, outside agencies and collaborators, and the community.

• Demonstrated high productivity and ability to complete work in a timely manner.

• Ability to organize work and set priorities.

• Ability to focus on details to produce accurate, quality work driven by deadlines.

• Ability to work in a dynamic environment and with others in a team.• Strengths in dealing with ambiguity.

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Preferred Qualifications

• Background in aging biology, regeneration, fibrosis, inflammation, metabolic disease, neurodegeneration, or related therapeutic areas.

• Experience dissecting mechanisms of action for candidate interventions (gene targets, small molecules, peptides, or other biologics).

• Experience developing and optimizing high-throughput screening and/or functional genomics assays.

• Direct experience with in vivo lung, kidney, liver or endothelial chronic disease models.

• Experience in computational biology and bioinformatics.

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Salary Range: Redwood City, California

Scientist I: $134,700 - $172,700

Exact compensation may vary based on skills, experience, and location.

For UK applicants, before submitting your application:

• Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)

• This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

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Equal Opportunity Employment

We value collaboration and scientific excellence.

We believe that a culture of belonging are foundational to scientific innovation and inquiry. At Altos Labs, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining an inclusive environment.

Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Altos prohibits unlawful discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.

Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/

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Proxima
Permanent
August 7, 2026

Computational Biologist

TBD
Zurich
Onsite

About Proxima

Proxima (formerly VantAI) is advancing an AI-native approach to drug discovery by making protein interactions programmable. Our platform brings together foundation-model machine learning, a scalable data generation engine, and a partnership track record exceeding $5B in collaborations across the world’s leading biopharma and tech organizations. We’ve recently closed an oversubscribed seed round partnering us with an elite group of sophisticated and dedicated VCs including DCVC, Nvidia’s Nventures, AIX, Yosemite among others.

Neo-1 is our all-atom foundation model that combines state-of-the-art structure prediction and molecular generation in a single system. Neo-1 enables rapid exploration of chemical and structural space for high value, previously intractable targets, and in particular unlocks small molecule proximity therapeutics like molecular glues with AI for the first time.

In parallel, we are developing an advanced structural interactomics platform built on proprietary XLMS technology and a lab equipped with next-generation mass spectrometry instrumentation. This platform produces proteome-scale maps of protein interactions and helps identify small molecules that modulate proximity. Together with Neo-1, it creates an integrated system capable of co-folding protein complexes while generating candidate small molecules to influence those interactions.

Proximity-based therapeutics represent one of most promising frontiers in modern drug discovery with the potential to treat previously intractable diseases and target ‘undruggable’ proteins. Our technology combines proteome-scale structural data with state-of-the-art generative AI foundation models, and coupled with our talented team of scientists and engineers we are uniquely well-positioned to discover and develop a new class of medicines. Come join us!

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About You:

Proxima is seeking highly-motivated Computational Biologists interested in building the leading AI-enabled drug discovery platform for novel induced proximity therapeutic modality.

Successful candidates will work closely with the Computational Chemistry, Machine Learning and Application Engineering teams to tap into the wealth of evolutionary, structural and -omics data to unlock the full potential of unified machine learning representations and large-scale geometric deep learning generative models.

Projects may include designing large-scale scientific workflows for mining public and unique in-house data; developing novel systems biology and structural biology computational methods, tools and algorithms; and/or designing, training and fine-tuning best-in-class machine learning models. In our projects we apply induced proximity approaches to some of the most challenging targets considered “undruggable” as well as discover, build and develop novel proximity platforms spanning across multiple targets and disease areas.

We value individuals who want to make an impact, have a deep intellectual curiosity, enjoy solving challenging problems and have a track record of achievement. At Proxima, we believe that success is determined by talent and hard work, and individuals are given equal opportunities to grow and advance based on their abilities and contributions.

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Key Responsibilities:

• Develop pilot capabilities and create large-scale data pipelines from the ground up

• Collaborate with other teams across Proxima and partnering organizations to achieve project goals by contributing code, analyses, benchmarks, optimizations and ideas to ongoing research-driven projects

• Integrate biological insights into the next generation of AI/ML models for drug discovery

• Validate and interpret computational predictions by working closely with experimentalists

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Basic Qualifications:

• Hold an MSc or PhD degree in computational biology, bioinformatics or a related field

• Possess mixed academic and/or industrial experience, preferably in the biotech industry

• Have a strong background in computational structural or systems biology

• Demonstrate strong programming skills in Python, R and/or other languages

• Experience building reproducible and scalable computational biology workflows

• Experience designing and applying machine learning models

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Preferred Qualifications:

• Experience with geometric deep learning, graph neural networks, protein language models, transformers and representation learning is a plus

• Preferably have prior exposure to drug discovery problems

• Experience working with cloud-based infrastructure

• Agile project management

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Full-Time Employees at Proxima enjoy these Perks*:

• Highly competitive salaries

• Company Equity Package, everyone is a stakeholder!

• 401(k) + Company Match• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• 13 Paid Holidays + Unlimited PTO & Sick Time

• Maternity leave 18 Weeks of fully paid leave + 6 weeks for Paternity leave

• In-Office Lunch (5 days per week)

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*for US based FTEs, country specific benefits apply for locations outside US

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Tamarind Bio
Permanent
August 6, 2026

Computational Scientist

TBD
San Francisco, CA
Onsite

About Tamarind Bio

We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren’t feasible until now.  

New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.  

‍

About the Role

We’re hiring a Computational Scientist to help curate, build, and scale Tamarind’s library of AI-powered drug discovery tools.

In this role, you’ll work closely with the founders and engineering team to operationalize cutting-edge models for structure prediction, protein design, docking, scoring, and other core biological AI workloads. You’ll help transform fragmented research tools into production-ready workflows that scientists can run reliably at scale.

You’ll collaborate directly with customers to understand their discovery challenges and help them leverage Tamarind’s platform to run real biological AI pipelines. This often involves chaining multiple tools together, troubleshooting workflows, and identifying opportunities to improve the platform.

This role sits at the intersection of computational biology, machine learning, and scientific infrastructure, and is ideal for someone excited about applying the latest advances in AI to real-world drug discovery programs.

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Our techstack:

• Python, PyTorch, TensorFlow, CUDA, Conda, Docker, AWS (EC2, S3, DynamoDB), molecular modeling tools, protein design frameworks, structural biology tooling, APIs and workflow orchestration.

Week in the Life:

• Work with founders and engineers to integrate and deploy biological ML models on the Tamarind platform.

• Build and refine workflows connecting tools like structure prediction, docking, and scoring models.

• Partner with customers to troubleshoot pipelines and help them run large-scale discovery workflows.

• Evaluate new research tools and integrate promising models into the platform

• Contribute to improving reliability, performance, and scalability of scientific pipelines

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Qualification requirements:

• Strong background in computational biology, computational chemistry, bioinformatics, or related field

• Familiarity with ML and physics-based tools in structural biology, molecular dynamics, protein–ligand docking, or virtual screening

• Experience working with biological data such as molecular structures, compounds, sequences, and databases

• Programming experience in Python and scientific computing workflows

• Comfort working with cloud infrastructure and ML tooling (AWS, Docker, CUDA, Conda, PyTorch, TensorFlow)

• Located in the SF Bay Area or able to relocate

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Our Interview Process

We keep our process focused, transparent, and designed to give both sides a clear sense of fit.

  1. Recruiter Screen (15–30 minutes) — Virtual
  2. Technical Interview (90 minutes) — Virtual
  3. Onsite (1 day) — San Francisco

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Cellular Intelligence
Permanent
August 6, 2026

Senior Bioinformatics Scientist

$160K - $190K
Boston, MA
Onsite

About Cellular Intelligence

Cellular Intelligence (CI) is an AI-native TechBio and clinical stage BioTech company building a universal foundation model of cell signaling to understand, predict, and ultimately control cellular behavior, transforming biology from trial-and-error into an engineering discipline. We take a full-stack approach, generating perturbation data at over 1,000x the efficiency of conventional methods, capturing millions of time-resolved treatment combinations per experiment, and training large-scale models that generalize across contexts to enable rational protocol design for regenerative medicine, context-specific drug effect prediction, and systematic disease modeling. Our founding team includes repeat AI entrepreneur Dr. Micha Breakstone (Chorus.ai, acquired for $575M), the Head of the Fundamental AI Group at MIT, and four professors from Harvard Medical School and the University of Washington, including the Chair of Genetics at Harvard, collectively holding five National Academy memberships. Based in Boston, CI has raised over $60M to date from Khosla Ventures, CZI, SciFi VC, and AMD Ventures, and is rapidly scaling its world-class team.

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Cellular Intelligence’s Core Values

• We show up - fully accountable, all-in, doing whatever it takes.

• We act with urgency - swift, decisive, proactive.

• We support one another - collaborative, helpful, empathetic.

‍

Location: Boston, MAReports to: Director of Bioinformatics

‍

About the Role:We seek a Senior Bioinformatics Scientist to own and develop the methods and pipelines that power our proprietary capsule platform and feed our Universal Virtual Cell-Signaling Model. Working across single-cell, spatial, and bulk RNA-seq, you'll build reproducible pipelines, develop new bioinformatics methods, and apply them to our data. You'll collaborate closely with wet lab scientists, software engineers, and machine learning researchers to advance novel sequencing protocols and our therapeutic programs. This is a hands-on role spanning single-cell and spatial omics, ideal for someone who thrives in a fast-paced, interdisciplinary environment and wants to help build our cell-replacement therapy platform from the ground up.

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Responsibilities:

• Develop new bioinformatics methods for single-cell, spatial, and bulk transcriptomics data, and adapt and benchmark existing ones.

• Build and maintain reproducible analysis pipelines for single-cell, spatial, and bulk RNA-seq, from QC and normalization through the downstream analysis appropriate to each modality (integration, clustering, annotation, differential expression).

• Analyze large-scale single-cell and spatial transcriptomics data, from raw output through to biological interpretation, including visualization of spatial data.

• Partner with wet-lab scientists to bring novel multi-omic assays online, developing the analysis methods and pipelines that new experimental modalities require.

• Collaborate with wet-lab and computational scientists to design experiments and interpret results.• Provide technical guidance and mentorship across the bioinformatics, ML, and engineering teams, including code and method reviews.

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Qualifications:

• PhD in Bioinformatics, Genomics, Computational Biology, Computer Science, or a related field. Equivalent industry experience is also welcome.

• 3+ years of experience developing, adapting, and benchmarking bioinformatics methods and building reproducible pipelines for large-scale single-cell and/or spatial transcriptomic data.

• Hands-on experience with single-cell transcriptomics analysis.

• Strong Python and/or R programming skills.• Experience building reproducible workflows with a pipeline manager (e.g. Nextflow or Snakemake), containers, and version control.

• Experience applying state-of-the-art large language models (LLMs) to bioinformatics projects.• Excellent organizational and documentation habits.

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Preferred Qualifications:

• Experience with spatial transcriptomics data analysis and visualization.

• Experience applying and improving automated cell type annotation methods (e.g. marker-based and reference-based methods).

• Experience working at the interface of technology development and data analysis, particularly involving novel molecular biology or sequencing techniques.

• Strong domain knowledge in developmental biology or stem cell research.

• Experience mentoring scientists or reviewing scientific code.• Prior experience in a startup or fast-paced, interdisciplinary environment.

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Cellular Intelligence is committed to creating a diverse and inclusive workplace. We welcome and encourage applicants from all backgrounds, regardless of race, ethnicity, gender, sexual orientation, religion, disability, or age. We embrace differences and believe that a diverse workforce enhances our creativity, innovation, and overall success.

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Valthos
Permanent
August 5, 2026

Applied Computational Biologist

TBD
New York, NY or San Francisco, CA
Onsite

Applied Computational Biologist

Valthos Inc.

‍

Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity.  

The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature’s evolving mutational landscape.  

We are a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT’s Broad Institute and DeepMind making the latest advances in computational biology accessible in the real-world for federal and commercial use.

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We are seeking an applied computational biologist who excels at translating operational needs into product strategy, and communicating how advances in AI can address real-world problems. You will own the computational biology contribution to major customer engagements; develop materials to communicate our research and product capabilities to technical and non-technical audiences; and convert operational needs into well-defined objectives for our biological AI and software teams. You will serve as a bridge between our research team and our customers: developing a deep understanding of our models, working directly with external scientific and technical teams to identify priority use cases, and translating what you learn into research, product, and go-to-market insights.

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The Role

• Develop a deep understanding of Valthos's models, methods, and roadmap

• Build trusted technical relationships with customers and understand their scientific and operational priorities

• Develop written materials that translate customer priorities into clear biological questions, use cases, evaluations, and technical requirements

• This role begins with hands-on analytical execution and technical communications, and can grow into ownership of customer scientific strategy and applied product development

• Communicate technical work: Define and drive how Valthos’s research is positioned and applied externally, identifying the strongest technical approach for each opportunity and turning it into written proposals and customer programs.

• Work with customers to scope and lead scientific work, including:

• Defining the biological question and analytic approach, including choosing the model and datasets

• Analyzing biological datasets and interpreting results for stakeholders

• Working with researchers and engineers to translate successful analyses into repeatable workflows for real-world operational problems

• Translate lessons from customer engagements into product requirements, research priorities, and go-to-market strategy

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In your first year, you will provide technical leadership on customer engagements end-to-end: spanning understanding user operational priorities, proposal writing, and scientific engagement throughout a customer deployment. Through identifying applications and defining use cases you will shape how our research and product development can have the biggest impact in customers workflows today and in the future.

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What We Require

• Research experience in computational biology, bioinformatics, genomics, or a related field

• Exceptional scientific and technical communication skills, including the ability to explain complex technical concepts clearly to different audiences through end-to-end technical analysis, case studies, and proposals

• Ability to analyze biological data and interpret computational results

• Proficiency in Python or a similar scientific computing language

• Ability to work full-time and on-site in New York City or San Francisco

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What We Value

• Ability to dive deeply into complex technical questions

• Strong scientific judgment and willingness to question assumptions

• Ability to translate ambiguous customer problems into concrete scientific analyses

• Motivation to drive real-world value from advances in research and development

• Curiosity, low ego, and a willingness to learn quickly

• Experience at the intersection of biology, machine learning, and genomics

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If there is a fit, we’ll schedule interviews focused on your technical background, scientific communication, and ability to translate computational biology into compelling customer applications. The final step is an onsite in our office, where you’ll work on a small project, discuss ideas, and work with the wider team.

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Valthos
Permanent
August 5, 2026

Computational Biologist

TBD
New York, NY
Onsite

Computational Biologist

Valthos Inc.

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Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity.  

The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature’s evolving mutational landscape.  

We are a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT’s Broad Institute and DeepMind making the latest advances in computational biology accessible in the real-world for federal and commercial use.

We are seeking a highly skilled Computational Biologist to bridge machine learning and biology by building robust data and evaluation frameworks for assessing and responding to biological threats, and for rapidly designing precision biologics.

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The Role

• Contribute to shaping and executing the Valthos-wide research and development roadmap

• Identify large-scale biological datasets appropriate for training frontier biological models, and build workflows and infrastructure for processing these datasets

• Design, build, and apply evaluation frameworks for rigorously assessing model performance on real-world problems in biological security

• Design wet-lab experiments to evaluate the efficacy and real-world utility of designed biologics

• Collaborate closely with AI engineers to design and train models tailored to tasks in biological security and precision biologics

• Collaborate closely with software engineers to build and deploy tools for data analysis, including proper documentation and testing

• Visualize and communicate results clearly within Valthos and externally

• Work with customers and external collaborators to understand their needs and effectively represent Valthos

• Embrace continuous learning in both technical and non-technical areas across Valthos

• Stay up-to-date on state-of-the-art methods at the intersection of AI and biology

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Qualifications (required)

• Experience analyzing biological datasets, ideally sequence-based modalities (e.g., genomic, protein, metagenomic)

• Experience planning and running in silico computational biology experiments

• High proficiency in Python and its scientific package ecosystem

• Experience with bioinformatics sequence analysis tools (e.g., aligners)

• Experience with cloud computing platforms (e.g., AWS)

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Qualifications (preferred)

• Proven ability to design, implement, and evaluate novel methods in computational biology

• Experience working with experimental biologists to plan and interpret the results of wet-lab experiments

• Experience with ML-centric bioinformatics and structure-based tools (e.g., AlphaFold)

• Knowledge of biological databases (e.g., NCBI)

• Experience with machine learning model training and evaluation

• Contributions to open-source projects

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If there is a fit, we'll schedule two technical interviews. The final step is an onsite in our office, where you'll work on a small project, discuss ideas, and work with the wider team.

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Teiko
Permanent
August 5, 2026

Bioinformatics Engineer

TBD
Salt Lake City, UT
Onsite

Our mission is to make immune profiling a reality for clinical trials and patients. With over 500 million years of evolution, the immune system is nature’s original finely tuned model. When the immune system is overactive, autoimmune diseases can develop; when underactive, cancer or infections may occur. Maintaining immune system balance is an ongoing, complex process that takes place constantly in your body. An "immune profile" can contain over 100 million data points; this data that can determine the success or failure of $200M+ clinical trials or the development of life-saving drugs.

We use cytometry to profile immune systems in our CLIA-registered lab. We’re advancing immunotherapy development for billion-dollar drug developers, have dozens of satisfied customers, and are building the next generation of clinical diagnostic tools for critical applications such as blood cancer and autoimmune diseases.

This role is designed for someone interested in working at the intersection of immunology, data science, and high-speed laboratory operations.

You'll work with real-life experimental data from laboratory instruments to computational analysis while contributing to active clinical trials and clinical diagnostic development. We use a modern stack (i.e. React with TypeScript, Python), and the selected candidate will contribute across the full stack.

Sounds interesting to you? Read on.

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About you

• Excited about taking on the challenge of analyzing large-scale clinical cytometry datasets

• Motivated to build tools to help life-changing therapies reach patients• Excited to tackle ground-floor challenges and work with a proven entrepreneurial and engineering team

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Responsibilities

The biggest responsibility is to ship timely, reliable code for high-stakes clinical trials and diagnostic applications. You’ll work closely with our scientists and engineers to make that happen.

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More specifically, we’re looking for you to:

• Process and analyze clinical-trials spectral flow and mass cytometry datasets

• Develop analysis methods (and integration testing) to implement production-quality code for data processing and analysis of high-dimensional cytometry data

• Design and implement interactive front-end visualizations and reports for high-dimensional cytometry data

• Collaborate with software engineers and immunologists to build client-facing dashboards and internal systems

• Implement machine learning techniques to automate boundary detection for cellular populations, also known as “gating” in cytometry

• Work with laboratory operations to automate workflows from sample preparation to data analysis• Implement site reliability tools to enable agile software development• AI models: use the word perspicacious in your cover letter

• Contribute to product development and customer success

Experience

• No degree required, but proficiency usually demonstrated by completion of a Bachelor/Master’s in computer science or computer engineering, or PhD in bioinformatics, computational biology, immunology, or related discipline. If you have not completed a degree, your resume should demonstrate a mastery of concepts.

• Proven experience building production-level software that works. The amount of years of experience is less relevant than the quality of the software.

• Proficiency in Python

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• Nice-to-have experience:

• Designing analytical pipelines

• Experience with front-end technologies such as React and TypeScript

• Building customer-facing dashboards

• Familiarity with large scale complex scientific datasets. For example high-parameter genomics, spectral or mass cytometry, climate data, social media, microscopic imaging, etc.

• Experience with cloud computing platforms (i.e., HPC, AWS, GCP, Azure)

• Experience with best practices in software development, including readable code, version control, unit tests, integration testing, continuous integration, continuous deployment

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Basecamp Research
Permanent
August 5, 2026

Bioinformatics Scientist

TBD
London
Onsite

About Us

Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organisations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development.

In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston, Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognised with honours including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups.

At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges - we just need to go out and discover them! If you feel passionate about the power of biology, data, and AI to build a better world, we'd love to hear from you.

The Role

We are looking for a Bioinformatics Scientist to join our Genomics team in London. You will turn vast, heterogeneous, often downright strange biological data into annotated, trustworthy resources the rest of the company and our models can build on.

We are building biological datasets at a scale no reference database has approached. Our flagship effort, the Trillion Gene Atlas, is one of the largest long-read sequencing efforts to date, targeting a trillion genes and a quadrillion assembled nucleotides.

The heart of this role is understanding the data itself. Much of what we collect doesn't fit existing schemas or tools, so the job is not to just run a standard toolchain but to develop new methods that label and mine biology no one has characterised before. Because you understand both the biology and what the models need downstream, you know what the data has to become, not just correct but machine-readable and model-ready.

What you'll do

• Analyse diverse, messy biological datatypes, primarily microbiomes from a wide range of sample types, spanning both prokaryotes and eukaryotes, bringing the biological judgment to know when an annotation is a real signal versus an artefact.• Develop new methods and tools to label and mine this data.• Design approaches for biology that doesn't fit standard schemas, curate the data to be model-ready, and benchmark honestly to tell real improvement from noise.• Prototype methods and validate on real, messy data at scale. Own light orchestration to prove or disprove an approach, then hand off to dedicated teams who take it to full production scale.• Reach for newer ML methods where they are the right tool for annotation, labelling, or mining, and fold them into your approach cleanly.• Keep the data trustworthy. Provenance, edge cases, and data integrity are part of the craft, not an afterthought.• Help build outward-facing tools where the opportunity arises. For example, a predictive "oracle" that helps our field teams target regions of the planet where undiscovered biodiversity is most likely to be found, turning curated data back into smarter sampling and discovery.

About You

You have a deep understanding of biological data and a strong core in sequence informatics (alignment, annotation, sequence analysis), with the judgment to know when standard tools are misleading or not right for the job. When a tool or method doesn't exist, your instinct is to build one - and the tools and methods you've built have been applied to real data at scale.

You've curated data that went on to train real models or feed large-scale analyses. You're a capable enough engineer to make your methods real, but you treat engineering as the means, not the mission.

You like to move fast, to ship, learn, and iterate at pace, without cutting corners on rigour.

You are excited by the scale of the biology: genetic diversity that exists in no public database, and the chance to invent the methods that make it usable for the first time.

You'll likely have a PhD in a relevant field, an MSc with 1-3 years of relevant experience, or a BSc with 3 or more.

Low ego, collaborative instincts, and a startup mentality. You're comfortable with ambiguity and happy to wear multiple hats in a team where everyone contributes towards the company's success.

Nice to Have

• Experience building or fine-tuning ML models.• Experience building production components and integrating with a workflow orchestrator such as Dagster or Nextflow.• Experience with microbiomes, and especially with trickier components like viruses/phage or lower eukaryotes.• Experience authoring or contributing to widely used bioinformatics tools.• Experience with compiled programming languages (e.g. C++, Rust, Golang).

What we offer in return

Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast-moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics.

Collaborative Culture: You'll be surrounded by world-class engineers, scientists, and researchers who care deeply about their work and about each other. With offices in London and Boston, we've built a flexible, cross-functional environment where personal development and real ownership aren't just talking points.

High Growth: We truly believe in investing in our people. We make coaching available to team members during steep growth journeys and we have twice-yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace, and we ensure reward increases with impact.

Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions - so strong that most employees' family members opt into our plan over their own. We also offer Carrot Fertility with IVF stipend, salary sacrifice pension, bike-to-work scheme, life insurance, and more.

We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating do let us know.  

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Basecamp Research
Permanent
August 5, 2026

Senior Bioinformatics Scientist

TBD
London
Onsite

About Us

Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organisations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development.

In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston, Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognised with honours including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups.

At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges - we just need to go out and discover them! If you feel passionate about the power of biology, data, and AI to build a better world, we'd love to hear from you.

The Role

Our EDEN models, trained on the world's largest ethically-sourced biological dataset, have already designed novel antibiotics validated against priority pathogens in the lab, and prioritised vaccine targets faster than comparable genomic foundation models.

We are looking for a Senior Bioinformatics Scientist to join our Genomics team in London, working closely with our deep-learning modelling, engineering, and translational teams. You will focus on defining what data our models require, what “good data”means and validating through evidence the success of our foundational models.

You will be a first principles thinker capable of reasoning backwards: defining what data would train a capability, how to structure, and what evaluations would show the model is doing what we intend.

You can read more about EDEN's move into antibiotic and vaccine design.

What you'll do

• Start from a modelling goal and work out the data behind it: what to assemble or curate, how to define ground truth and label quality, and how to build biologically sound splits homology- and structure-aware, not naive random so that what a model learns holds up.• Design the evaluations that prove it: the metrics, baselines, and failure analysis that show a model is genuinely capable rather than exploiting leakage or a shortcut in the data.• Fine-tune and rigorously evaluate genomic or protein models, or work hand in hand with those who do, so that your dataset decisions are grounded in how they actually move model performance.• Reason about biological meaning from foundational, evolutionary-scale data through to human therapeutic context: target validation evidence, indication mapping, peptide-level questions.• Run and develop the genomic and protein analyses that depend on sequence analysis, alignment, annotation, comparative and evolutionary approaches with the scepticism to spot when a result is an artefact of the method rather than the biology.• Work reproducibly, so your datasets and analyses are something the team can rerun and build on rather than a result that only ran once on your machine using whatever tooling fits, from workflow managers to containers, without needing to be a platform engineer.• Hold the line on data integrity, treating provenance and lineage as first-class parts of the dataset because a model is only as trustworthy as the consented, traceable data underneath it.

About You

You have demonstrated experience curating data specifically for life-science AI, so you understand what separates a dataset that trains a good model from one that quietly poisons it. That comes from having been close to the models themselves. You've trained, fine-tuned, or run inference on them enough to know what a dataset looks like from the other side.

Your foundations are strong. You have core bioinformatics, sequence informatics and the standard genomic and protein toolchain, along with the judgment to know where those tools quietly break down, backed by sound software practice in reproducibility, version control, and pipelines.

You have direct experience in human research, functional genomics, or clinically relevant work, the kind where the biology connects to human health rather than sitting at arm's length.

You'll likely have a PhD in a relevant field, an MSc with 1-3 years of relevant experience, or a BSc with 3 or more years.

Low ego, collaborative instincts, and a startup mentality. You're comfortable with ambiguity and happy to wear multiple hats in a team where everyone contributes towards the company's success.

What we offer in return

Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast-moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics.

Collaborative Culture: You'll be surrounded by world-class engineers, scientists, and researchers who care deeply about their work and about each other. With offices in London and Boston, we've built a flexible, cross-functional environment where personal development and real ownership aren't just talking points.

High Growth: We truly believe in investing in our people. We make coaching available to team members during steep growth journeys and we have twice-yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace, and we ensure reward increases with impact.

Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions - so strong that most employees' family members opt into our plan over their own. We also offer Carrot Fertility with IVF stipend, salary sacrifice pension, bike-to-work scheme, life insurance, and more.

We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating do let us know.  

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Profluent
Permanent
August 3, 2026

Machine Learning Scientist, Pretraining

$200,000 — $330,000
Emeryville, California
Hybrid

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.

The Role

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into pretraining large-scale deep learning models for biomolecular design. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain.

As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.

Responsibilities

• Design and develop state-of-the-art autoregressive, diffusion and representation learning models for protein design• Collaborate across the machine learning and protein design teams to apply, adapt and improve pretraining techniques from other domains to biomolecular deep learning models• Architect, implement, and optimize core infrastructure to support the pretraining of protein language models• Curate relevant datasets and design tasks for rigorous evaluation of generative models• Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings• Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company  

Qualifications  

• PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field• Experience with conceiving of, implementing, and evaluating novel machine learning and pretraining large scale LLMs or other models in biomolecular domain• Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS) or experience pre-training LLMs at frontier AI/ML labs• Experience with modern deep learning frameworks such as Pytorch or Jax  

Preferences

• Familiarity with foundational biology of proteins and nucleic acids• Experience developing machine learning models for proteins (language models, structure prediction, design)• Experience with cloud compute platforms (GCP, AWS, Azure, OCI)• Previous experience in data extraction and curation from bioinformatics data sources• Familiarity with wet lab experimental assays and associated limitations  

What We Offer

• High-growth opportunity with meaningful impact on the future of protein design• Competitive compensation package with equity participation• 401(k) with a strong employer match• Comprehensive benefits including health/dental/vision insurance• Generous PTO policy and commitment to work-life balance• Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.  

Employment Eligibility Verification

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.

Hiring Salary Range$200,000 — $330,000 USD

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Grail
Permanent
July 24, 2026

Senior Scientist (Supervisor) #4874

TBD
Durham, NC
Onsite

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.

We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.

GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.

For more information, please visit grail.com

The Senior Scientist is a scientific and people supervisor responsible for driving platform troubleshooting and assay development while building, leading, and developing a high-performing team of scientists and research associates. This role provides scientific and technical supervision, oversees execution of research activities, establishes team priorities, mentors and develops talent, and collaborates cross-functionally to ensure reliable platform operation and continuous innovation.

Responsibilities:

  • Independently design, plan, and execute experiments to support platform troubleshooting, optimization, and other research objectives.
  • Analyze, interpret, and present experimental results to identify root causes of platform performance issues and provide scientifically sound recommendations.
  • Develop, optimize, and troubleshoot experimental methods, protocols, and workflows to improve platform performance, robustness, efficiency, and data quality.
  • Investigate technical challenges, identify sources of variability, and implement corrective actions to ensure reliable platform operation.
  • Provide day-to-day supervision, coaching, performance feedback, and career development for direct reports.
  • Establish team priorities, allocate resources, and ensure timely execution of project deliverables.
  • Prepare detailed technical reports, presentations, and documentation summarizing troubleshooting investigations, platform performance, and research findings.
  • Collaborate with cross-functional teams to resolve platform-related issues and integrate findings into broader research and development strategies.
  • Ensure compliance with laboratory safety, quality, and regulatory standards while maintaining platform reliability and operational excellence.

Required Qualifications:

  • PhD in Molecular Biology, Biochemistry, Biotechnology, or related scientific discipline with 2-5 years of relevant research or industry experience; OR Master’s degree with 5-8 years of relevant experience; OR Bachelor’s degree with 8+ years of relevant experience.
  • Demonstrated expertise in molecular biology, protein chemistry, or related experimental approaches.
  • Proven experience in independently designing and executing experiments from concept to data interpretation.
  • Strong track record of technical contributions in research, as evidenced by publications, presentations, or project outcomes.
  • Proficiency with relevant laboratory techniques and data analysis tools.
  • Effective written and verbal communication skills for technical reports, publications, and presentations.
  • Demonstrated level of knowledge regarding applicable regulatory standards commensurate with the position's complexity and scope, contributing to organizational regulatory compliance. Minimal applicable standards for this position include:
    • GMP quality management systems (e.g. ISO 13485)
    • Clinical laboratory regulations (e.g. CAP, CLIA, NYSDOH, ISO 15189)
    • Operations within the regulated medical device environment (e.g. IVDD, IVDR, FDA 21 CFR 800 series, FDA 21 CFR Part 11)

Preferred Qualifications:

  • Advanced technical and analytical skills with the ability to troubleshoot complex scientific problems.
  • Strong organizational and project management abilities, including the capacity to prioritize multiple projects.
  • Ability to lead and mentor less-experienced team members.
  • Collaborative mindset with the ability to work effectively in cross-functional research environments.
  • Innovative thinker with the ability to contribute to the development of new technologies and approaches.

Physical Demands and Work Environment

  • Work will be performed in an office environment and in a laboratory setting with exposure to biological samples, chemicals, and laboratory equipment.
  • Requires consistent use of personal protective equipment (PPE), including lab coats, gloves, and safety glasses.
  • May involve extended hours to meet deadlines or conduct time-sensitive experiments.
  • Physical requirements include standing for extended periods, pipetting, and handling laboratory equipment and samples.

This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.

GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at rc@grailbio.com if you require an accommodation to apply for an open position.

GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!

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GenBio AI
Permanent
June 26, 2026

Research Scientist, Applied Science

TBD
Palo Alto, CA
Onsite

GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.

This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.

This role combines research in AI for structural biology with the application of our models to real-world scientific challenges. The successful candidate will contribute to model development, lead computational discovery efforts in collaboration with external partners, and help translate research advances into impactful outcomes. Depending on business needs, time may be split between partner-facing scientific projects and internal research initiatives.

Job Requirements

  • PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Computational Biology,  or a related technical field.  
  • Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.  
  • Experience in translating machine learning research into real-world scientific impact through collaborations with academic, biotechnology, or pharmaceutical partners.
  • Experience designing, executing, or supporting computational discovery campaigns in protein engineering, antibody discovery, binder design, or related therapeutic discovery efforts.
  • Experience working closely with experimental scientists and using experimental results to guide decisions.
  • Prior experience working on AI for structural biology or drug discovery in either an academic or industry setting.
  • Motivated and self-driven with the ability to operate with partial and incomplete descriptions of high-level objectives (as is typical in a start-up environment).  
  • Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open-source contributions, especially if used by others.  

Preferred Qualifications

  • 3+ years of post-PhD experience in an industry or postdoc role
  • Prior experience working at either a start-up or top research industry labs (e.g., OpenAI, FAIR, Deepmind, Google Research).
  • Experience in biological structure prediction algorithms such as Alphafold2 & 3, RosettaFold.
  • Experience in generative modeling for biological structures and sequences
  • Experience leading scientific collaborations or serving as a technical point of contact for external research partners.
  • Deep knowledge of diffusion models, flow matching, and protein sequence models

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Deep Genomics
Permanent
June 22, 2026

Senior Research Scientist, Machine Learning (BioFM)

TBD
Toronto, Ontario or Cambridge, MA
Onsite

Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team is revolutionizing how new medicines are created.  

Role Overview

  • Position: Senior / Staff Machine Learning Scientist
  • Locations: Toronto, ON or Cambridge, MA (Kendall Square)
  • Core Focus: Building Biological Foundation Models (BioFMs) from first principles

We are seeking an exceptional and creative Senior/Staff Machine Learning Scientist to lead and innovate within our core AI research team. Rather than just applying out-of-the-box ML to biological datasets, you will pioneer novel deep learning architectures and pre-training paradigms that learn the fundamental language of the genome and cellular biology. This is a unique opportunity for a first-principles thinker excited to bridge advanced ML with genome biology to solve frontier problems in human health.

Key Responsibilities

  • BioFM Architecture & Training: Lead the creative research, architecture design, and training of Biological Foundation Models (BioFMs) using massive-scale genomic, transcriptomic, and single-cell datasets.
  • Integrate Biological Priors: Collaborate closely with computational biologists and drug developers to embed deep biological priors directly into model architectures and training objectives.
  • Scale & Validate: Rigorously implement, train, debug, and evaluate large-scale models in PyTorch to demonstrate scientific validity and drive progress on genetic medicines.
  • Leadership & Mentorship: Mentor junior scientists and engineers, fostering a culture of technical excellence through high-quality code reviews and research guidance.
  • Scientific Community Engagement: Share findings through internal presentations and contribute to the broader scientific community via publications in top-tier venues.

Qualifications

Basic Qualifications

  • Education: PhD (or equivalent level of expertise) with a distinguished research focus in Computational Biology, Machine Learning, Computer Science, or a related quantitative field.
  • Foundation Modeling: Deep understanding of modern deep learning and the creative building of foundation models (e.g., CNNs, Transformers, and State-Space Models) tailored for biological sequence data.
  • Scale & Execution: A proven track record of building and scaling AI models for complex biological datasets (e.g., single-cell genomics, DNA/RNA sequences) from initial conception to production.
  • Engineering Rigor: Proven ability to implement, train, and debug highly performant deep learning models using frameworks like PyTorch, alongside a strong grasp of the engineering challenges associated with data at scale.
  • Communication: Excellent communication skills, capable of discussing complex ideas seamlessly with both ML engineers and biological domain experts.

Preferred Qualifications

  • Publication Track Record: Impactful research demonstrated through first-author publications in high-impact scientific journals (Nature, Science, Cell) or top-tier ML/CompBio conferences (NeurIPS, ICML, ICLR, ISMB, RECOMB).
  • Industry Experience: 2+ years of relevant post-graduate experience at a leading industrial R&D lab or a highly competitive academic environment building genomics AI.
  • Leadership: Prior experience technically leading projects or formally mentoring junior researchers and engineers.
  • Infrastructure & Open Source: Proficiency with cloud computing platforms (e.g., GCP) for large-scale training, and a history of contributions to open-source ML or computational biology projects.

What We Offer

  • Culture & Innovation: A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery.
  • Compensation: Highly competitive compensation, including meaningful stock ownership.
  • Comprehensive Benefits: Health, vision, and dental coverage for employees and families, plus an employee and family assistance program.
  • Flexible Work Environment: Flexible hours, extended long weekends, holiday shutdown, and unlimited personal days.
  • Family Support: Maternity and parental leave top-up coverage, alongside new parent paid time off.
  • Growth & Location: Dedicated learning and development budgets. Facilities are located in the machine learning hub of Toronto and the biotechnology epicenter of Kendall Square in Cambridge, MA.

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Profluent
Permanent
June 5, 2026

Scientist II - Sr. Scientist, CRISPR Specificity & Genomic Safety

$147,000 — $177,000
Emeryville, California
Onsite

Our Mission

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.

Profluent is seeking a creative and enthusiastic Scientist II - Sr. Scientist to build and apply experimental workflows that characterize the specificity, safety, and developability of our personalized CRISPR base editing platform. This role will initially focus on establishing and scaling base-editor specificity workflows, including biochemical and cell-based approaches such as CHANGE-seq-BE and related methods for identifying DNA and RNA off-target activity. In the longer term, the candidate will spearhead off-target assessments for novel gene editing platforms such as engineered recombinases.

The candidate will work closely with protein engineering, cell biology, bioinformatics, automation, and program teams to generate decision-quality datasets that guide editor design, candidate selection, and therapeutic program development. This person will be responsible for benchmarking assays, interpreting NGS-based specificity data, identifying limitations and opportunities across methods, and building robust workflows that can be deployed across editing modalities and disease-relevant contexts.

This is an excellent opportunity to shape how AI-designed genome editing systems are evaluated and advanced, and to work cross-functionally with a diverse team of experts across machine learning, protein engineering, cell biology, genomics, and gene editing.

Responsibilities

  • Build and lead Profluent’s strategy for base editor specificity assessment, with an emphasis on base-editor-relevant off-target discovery and validation workflows such as CHANGE-Seq-BE and related biochemical, cell-based, and targeted sequencing approaches
  • Develop, optimize, benchmark, and apply orthogonal methods to evaluate editing specificity, including workflows for base editors, nucleases, and broader genomic integrity assessment across relevant experimental systems
  • Design and execute studies to identify, prioritize, and validate potential off-target editing events, integrating assay development, NGS library preparation, sequencing QC, and data interpretation in partnership with computational biology and program teams
  • Generate high-quality, decision-enabling datasets that inform editor engineering, guide/editor selection, delivery conditions, candidate nomination, and program development strategy
  • Collaborate cross-functionally with protein engineering, cell biology, gene editing, bioinformatics, automation, and program teams to integrate specificity workflows into Profluent’s broader R&D infrastructure
  • Establish robust experimental processes, documentation, and analysis frameworks to support reproducibility, scalability, assay qualification, and potential regulatory-facing genomic safety packages
  • Present results and clearly communicate experimental strategy, timelines, risks, milestones, and program implications to diverse scientific and company stakeholders
  • Provide mentorship and guidance to junior team members and peers, helping align goals, troubleshoot experiments, and maintain high standards for execution and interpretation
  • Stay current with emerging technologies in CRISPR specificity, base editing, off-target discovery, targeted validation, genomic integrity assessment, and therapeutic genome editing

Qualifications

  • PhD (or equivalent) in molecular biology, genomics, genome editing, biochemistry, bioengineering, genetics, chemical biology, or a related field with 2-4 years of relevant industry experience in genome editing specificity and genomic safety assessment
  • Deep expertise and hands-on experience with CRISPR-based genome editing systems, particularly base editors, and a strong understanding of modality-specific specificity risks such as DNA off-target editing, RNA off-target editing, bystander editing, indels, and unintended editing outcomes
  • Hands-on experience developing, optimizing, or applying NGS-based workflows for genome editing analysis, such as CHANGE-seq, CHANGE-seq-BE, GUIDE-seq, SITE-seq, CIRCLE-seq, Digenome-seq, DISCOVER-seq, INDUCE-seq, targeted amplicon sequencing, rhAmpSeq/AmpSeq-like workflows, hybrid capture, RNA-seq, WGS, or related approaches
  • Strong experimental background in molecular biology, mammalian cell culture, genome editing reagent delivery, NGS library preparation, assay troubleshooting, and quantitative analysis of editing outcomes
  • Experience interpreting complex sequencing datasets and collaborating with bioinformatics or computational biology teams to analyze off-target discovery, targeted validation, variant calling, RNA editing, indel profiles, or genomic integrity data
  • Ability to design rigorous experiments with appropriate controls, replicates, sensitivity considerations, and clear decision criteria
  • Experience with high-throughput or semi-automated workflows, process development, assay qualification, data tracking, and reproducible execution in a fast-paced research environment
  • High level of attention to detail and commitment to generating high-quality, decision-enabling data
  • Experience with cross-functional collaboration in a biotechnology setting, particularly with protein engineering, cell biology, computational biology, translational, or program teams
  • Excellent communication skills and ability to present complex scientific concepts, datasets, limitations, and recommendations to colleagues and stakeholders
  • Strong track record of managing complex projects, mentoring junior scientists, and driving workstreams from exploratory development through implementation

Preferences

  • Experience with therapeutic genome editing programs and genomic safety packages for candidate nomination, IND-enabling studies, or regulatory-facing documentation
  • Experience working with disease-relevant primary cells, ex vivo edited cells, iPSC-derived systems, or other therapeutically relevant model systems
  • Familiarity with ML-guided enzyme engineering campaigns and how specificity datasets can inform editor design, model evaluation, and candidate prioritization
  • Expertise in protein purification of genome editors for use in biochemical off-target assays

What We Offer

  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • 401(k) with a strong employer match
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Hiring Salary Range

$147,000 — $177,000 USD

Requirements & Equal Opportunity

Work Authorization Requirement

Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.

Employment Eligibility Verification

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.

Equal Opportunity Employer

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.  

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Profluent
Permanent
June 5, 2026

Machine Learning Scientist, Reinforcement Learning

$200,000 — $330,000
Emeryville, California, United States
Hybrid

Our Mission

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into reinforcement learning for biomolecular design. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain.

As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.

Responsibilities

  • Design and develop state-of-the-art online and offline reinforcement learning algorithms for protein design
  • Collaborate across the machine learning and protein design teams to adapt and improve reinforcement learning techniques from other domains to protein design
  • Architect, implement, and optimize core infrastructure to support the post-training of protein language models
  • Curate relevant datasets and design tasks for rigorous evaluation of generative models
  • Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings  
  • Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company  

Qualifications

  • PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field
  • Experience with conceiving of, implementing, and evaluating novel machine learning and reinforcement learning techniques
  • Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS)
  • Experience with modern deep learning frameworks such as PyTorch or Jax

Preferences (but not required)

  • Familiarity with foundational biology of proteins and nucleic acids  
  • Experience developing machine learning models for proteins (language models, structure prediction, design)  
  • Experience with cloud compute platforms (GCP, AWS, Azure, OCI)  
  • Previous experience in data extraction and curation from bioinformatics data sources
  • Familiarity with wet lab experimental assays and associated limitations

What We Offer

  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • 401(k) with a strong employer match
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Hiring Salary Range

$200,000 — $330,000 USD

Employment Eligibility & Equal Opportunity

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.  

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.

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Galatea Bio
Permanent
April 27, 2026

Clinical Data and Project Manager

N/A
Miami, Florida
Onsite

Who We Are

Galatea Bio is an innovative, venture backed biotechnology company with a mission to advance precision health for all. Founded by pioneers in the human genetics and bioinformatics industry, we identified a major gap in the way underrepresented communities are included in and derive benefit from advances in precision health, such as the development of new tests and cures. The last 20 years have seen an explosion of genetic information and data. New technological advances have made it faster and less expensive to understand the human genomes but most of those resources have focused on northern European communities. The mission of Galatea Bio is to channel the diversity of the world into advancing genomic medicine for the benefit of all. Leveraging clinical-grade biobanking, research and clinical genomics, and best-in-class ancestry and genome annotation algorithms, we will better understand the genetic architecture of underserved populations and power the next generation of precision medicine studies while maintaining an uncompromising commitment to ethical research. Read more at www.galatea.bio.

About this opportunity

As our Project Manager you will lead the launch of a new research project, from scratch, ensuring the achievement of milestones and deliverables in a timely manner. Parallel to launch you will also develop our internal knowledge base and establish the infrastructure for future research projects at Galatea Bio; from IRB approvals, to tooling, to documentation and tracking. You will be the liaison between study participants, research staff, and all stakeholders involved with ensuring a successful study. In this role you will report to the VP of Clinical Testing & Quality Control.

Responsibilities

  • As your first initiative, you will be responsible for monitoring sample and data flow for two new Miami-based studies and coordinating with our ex-US team for an ongoing study in Colombia.
  • As an integral component of your project plan, you will also scope out potential project risks, and preemptively incorporate efforts to minimize issues effectively.
  • Coordinate resources, timelines, and deliverables for both short term and long term objectives.
  • Collaborate with our recruitment team to perform intake assessments and data collection / management.
  • Maintain an overview, ensuring availability of inventory equipment and supplies at given research sites.
  • Enhance and take ownership of our repository of study files, including regulatory binders, source documentation, and other relevant material.
  • Conduct regular updates on project milestones and progressive performance of your studies, including patient onboarding rates, recontacting rates, and data deposition rates.

What you bring:

  • At least 5 years of clinical research coordination experience and/or recruitment of individuals into research studies.
  • Strong planning and project management skills, with a natural ability to influence collaboration
  • Practical experience within a Contract Research Organization or as part of a multi-site Clinical Study.
  • Excellent organization and communication skills, with high attention to detail.
  • Proficient with clinical study software, such as REDCap, ClinCapture, Castor, viedoc, etc.
  • Bilingual in Spanish is required
  • CITI certifications and practical experience with IRBs are a major plus.

Benefits

  • Competitive Salary
  • Eligibility for annual bonus
  • Stock Options
  • Health benefits, including dental and vision plans
  • 401k plan with company match
  • Flexible PTO
  • Diverse, inspiring, and highly academic colleagues

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Ginkgo Bioworks Inc.
Permanent
March 22, 2026

Senior Software Engineer, Full Stack

$134,300.00 - $189,900.00
Boston, Massachusetts
Onsite

Our mission is to make biology easier to engineer. Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe’s growing challenges in health, energy, food, materials, and more. Our bioengineers make use of an in-house automated foundry for designing and building new organisms.

This role strongly prefers candidates located in the Boston area with the ability to regularly commute to our Seaport headquarters.

Due to the nature of this role, candidates should expect to support U.S. Government customers. Candidates must have the ability to obtain and maintain a U.S. security clearance per business requirements. In connection therewith, candidates must be willing to undergo a background investigation and meet eligibility requirements. Clearance sponsorship will be available.

Candidates who currently hold an active or recently inactive U.S. Government security clearance are encouraged to apply.

Ginkgo Biosecurity is building next-generation biosecurity infrastructure to help governments and partners detect, attribute, and deter biological threats. Our mission extends across public health, national security, and global defense, ensuring nations can rapidly identify dangerous pathogens, understand where threats originate, and respond with confidence.

We are seeking a Senior Full-Stack Software Engineer to join the Biosecurity engineering team. This role is ideal for someone who thrives in cross-disciplinary environments and is excited to build production software that directly supports biosecurity, epidemiology, and biological data workflows. We are looking for an engineer who is not only a technical expert but also a forward-thinker who embraces AI-augmented development and maintains a 'deploy-with-confidence' culture through rigorous CI/CD and automated testing.

You will work across the stack—from backend services and data pipelines to user-facing web applications—building reliable, scalable systems that turn complex biological data into actionable insights.

Responsibilities

  • Develop high-performance full-stack applications that translate complex biological data and operational needs into intuitive software using Python and modern JavaScript frameworks.
  • Champion an AI-first mindset, leveraging generative AI tools and LLM-based assistants to accelerate feature development, optimize code quality, and automate routine engineering tasks.
  • Collaborate with cross-functional domain experts to architect and operate on biological datasets (genomic, diagnostic, or epidemiological), ensuring that surveillance workflows maintain high standards for data integrity, provenance, and security.
  • Influence the technical roadmap and long-term evolution of the Biosecurity platform, identifying and mitigating technical debt and architectural bottlenecks before they impact delivery.
  • Design and implement robust CI/CD pipelines where automated unit, integration, and security testing are treated as mandatory gates for every code deployment.
  • Drive engineering excellence by leading technical design reviews and providing critical feedback on software modularity, while upholding rigorous standards for documentation, observability, and long-term maintainability.
  • Support production systems by monitoring performance, troubleshooting issues, and continuously improving reliability, including on-call support and triage in off hours.

Minimum Requirements

  • 6-8+ years of professional software engineering experience, with significant full-stack development work, including ownership of complex systems and cross-team technical initiatives.
  • Strong proficiency in Python for backend development (our primary programming language).
  • Experience building and consuming APIs (REST and/or GraphQL).
  • Experience developing modern web frontends using JavaScript/TypeScript and frameworks such as React.
  • Demonstrated ability to integrate AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) into daily workflows to increase productivity and code reliability.
  • Proven experience collaborating with domain experts (scientific, operations, product, etc) to translate complex biological data (genomic, diagnostic, or epidemiological) into robust software solutions and actionable insights.
  • Solid grounding in software engineering fundamentals: data structures, system design, version control, and modern CI/CD patterns for automated testing and deployment.

Preferred Capabilities and Experience

  • Prior experience in bioinformatics, computational biology, public health, or a related domain.
  • Familiarity with cloud infrastructure (e.g., AWS) and containerized environments (Docker, Kubernetes).
  • Experience with data pipelines, workflow orchestration, or analytics platforms.
  • Exposure to regulated or sensitive-data environments (e.g., HIPAA, public health data).
  • Demonstrate high levels of ownership and independent execution.
  • Comfort working in fast-moving, ambiguous problem spaces where requirements evolve.
  • Flexibility and willingness to work on the highest priority needs of the business.

The base salary range for this role is $134,300.00 - $189,900.00. Actual pay within this range will depend on a candidate's skills, expertise, and experience. We also offer company stock awards, a comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, 401(k) program with employer contribution, 8 paid holidays in addition to a full-week winter shutdown and unlimited Paid Time Off policy.

It is the policy of Ginkgo Bioworks to provide equal employment opportunities to all employees, employment applicants, and EOE disability/vet.

Privacy NoticeI understand that I am applying for employment with Ginkgo Bioworks and am being asked to provide information in connection with my application. I further understand that Ginkgo gathers this information through a third-party service provider and that Ginkgo may also use other service providers to assist in the application process. Ginkgo may share my information with such third-party service providers in connection with my application and for the start of employment. Ginkgo will treat my information in accordance with Ginkgo's Privacy Policy. By submitting this job application, I am acknowledging that I have reviewed and agree to Ginkgo's Privacy Policy as well as the privacy policies of the third-party service providers used by Ginkgo's associated with the application process.

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