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
REQUIREMENTS
PREFERRED QUALIFICATIONS
NAUTILUS TEAM CULTURE
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
WHAT YOU'BRING
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.
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.
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:
REQUIREMENTS
NICE TO HAVE
CULTURE @ LATCH
COMPENSATION & LOGISTICS
INTERVIEW PROCESS
Timeline: We move fast—8 to 12 days from submission to offer.
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:
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
WHAT YOU BRING
Required Qualifications
Nice to Have
WHAT YOU WILL LOVE AT MITHRL
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.
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:
WHAT YOU WILL DO
WHAT YOU BRING
Must-have
Nice-to-have
WHAT YOU WILL LOVE AT MITHRL
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.
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:
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
WHAT YOU BRING
Required Qualifications
Nice to Have
WHAT YOU WILL LOVE AT MITHRL
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.
Full-time · Head Office (Farringdon, London)
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.
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.
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.
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.
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.
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.
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
Qualifications
Preferences
What We Offer
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.
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
Basic Qualifications
Preferred Qualifications
What We Offer
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:
Responsibilities:
Qualifications:
Nice-To-Haves:
Benefits And Perks:
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
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
Qualifications
Preferences
What We Offer
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
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
Nice-to-Have
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
Interview Process
Timeline: We move fast: 8 - 12 days from submission to offer.
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
Qualifications
Preferences
What We Offer
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
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:
Responsibilities:
Qualifications:
Nice-To-Haves:
Benefits And Perks:
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
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
Nice-to-Have
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
Interview Process
Timeline: We move fast: 8–12 days from submission to offer.
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:
Qualifications and Experience
Strong Pluses
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
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:
Qualifications and Experience
Strong Pluses
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
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!
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.
*for US based FTEs, country specific benefits apply for locations outside US
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
In Silico Simulation & Thresholding
Regulatory Support & Communication
Who You Are
Nice to have:
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
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!
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.
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.
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.
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.
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.
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.
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:
Education and Experience:
Physical Requirements:
Location:
Travel:
Job Type:
Base Compensation Pay Range:
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.
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.
Our Value
Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.
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.
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.
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.
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.
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.
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.
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/
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:
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.
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
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
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
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
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.
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
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
Our Interview Process
We keep our process focused, transparent, and designed to give both sides a clear sense of fit.
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
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
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
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.
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.
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.
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
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)
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
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.
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.
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
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.
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
• 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
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.
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.
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
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.
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!
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
Preferred Qualifications
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.
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.
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.
$147,000 — $177,000 USD
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.
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.
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.
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.
$200,000 — $330,000 USD
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.
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
What you bring:
Benefits
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.
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.