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
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 a Data Scientist, Knowledge Graphs to build and scale the biological knowledge layer that powers the Mithrl AI Co-Scientist. This role focuses on ingesting and harmonizing the world’s most important biological data sources and curating the relationships that allow our system to reason across pathways, targets, diseases, compounds, and multimodal datasets.
You will ingest data from public consortia and well maintained peer reviewed sources and unify them into a coherent, versioned knowledge graph. You will identify new node types, define relationship schemas, harmonize variable IDs, and ensure metadata remains consistent across all integrated sources. You will also build automated curation pipelines that expand and refine the knowledge graph using both data driven methods and domain logic.
Beyond ingestion and curation, you will create the tools and frameworks that allow users to interact with the knowledge graph and even build their own custom graphs based on the results they generate inside Mithrl. Your work will form the foundation for pathway reasoning, target scoring, evidence aggregation, and multimodal interpretation inside the AI Co-Scientist.
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.
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:
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
Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health.
The Opportunity
The role is part of the Data Engineering 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, publication artifacts) 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.
As a Staff Data Engineer at Biohub, you'll be designing systems that ingest data from public repositories, transform heterogeneous biological formats into AI-ready datasets, combine that with proprietary datasets, and deliver training datasets to researchers pushing the boundaries of what's possible in biological AI. The infrastructure you build will directly shape what our models can learn.
We're a small team with significant resources and long time horizons. We use AI tools aggressively in our own work—Claude Code, agents for workflow automation, LLMs for metadata extraction. We care about code quality, operational reliability, and building systems that scale. And we care about the biology: we want engineers who can recognize when a pipeline output is technically correct but scientifically wrong.
If you want to work at the intersection of large-scale infrastructure and frontier science, with real autonomy and the chance to build something genuinely new, we'd like to talk.
What You'll Do
What You'll Bring
Compensation
The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $241,000–$301,000 annually. Compensation ranges will vary based on job-related skills, level of experience, and knowledge. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
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.
#LI-Hybrid #LI-Onsite
Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.
We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.
GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.
For more information, please visit grail.com
The Senior Scientist is an experienced scientific individual contributor responsible for investigating platform and assay performance issues, identifying root causes, and developing technical solutions to improve platform reliability and operational performance. As a member of the Operations Investigation Team (OIT), this role independently conducts scientific investigations, collaborates across functions, and drives continuous improvement through data-driven problem solving and process optimization.
This position works on-site full-time, 5 days/week at our office located in Durham, NC
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!
At Nautilus, we have a big and important mission: improve the health of millions by unleashing the potential of the proteome to accelerate drug development and enable a new world of precision and personalized medicine. 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.
We are looking for a Sr. Director of Bioinformatics to join our growing company. Being successful in our goal of delivering novel proteomic insights to the world hinges on our ability to analyze and understand large, complex, and diverse data sets that result from our experimental efforts, surfacing any key insights that might be hidden within. A candidate stepping into this highly visible role will provide both technical and people leadership for diverse bioinformatics teams and work with R&D leaders to define strategic direction. Our novel proteomic technology is in its formative stages, which means that anyone in this role will have an outsized impact on our technology and customer success.
This position will report to the SVP of Product Development and is located in San Carlos, CA (hybrid: minimum 3 days/week in office).
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:
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 The Role:
10x Genomics is establishing a diagnostics effort to translate our leading single-cell and spatial genomics technologies into impactful clinical applications. This Clinical Laboratory Scientist/General Supervisor position is responsible for the day-to-day execution and oversight of high complexity next-generation sequencing (NGS) testing within a CLIA-certified laboratory. This role ensures the accuracy, reliability, and timeliness of test results while maintaining full compliance with regulatory and quality standards. The General Supervisor provides technical leadership, staff supervision, and operational support to ensure efficient laboratory performance.
What You Will Be Doing:
To Be Successful in this Role, You Will Need:
Additional attributes
Below is the base pay range for this full-time position. The actual base pay will depend on several factors unique to each candidate, including one’s skills, qualifications, and experience. At 10x, base pay is also just one component of the Company’s total compensation package. This role is also eligible for 10x’s equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program. During the hiring process, your 10x recruiter can share more about the Company’s total compensation package.
Pay Range$139,700—$188,900 USD
About 10x Genomics
At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world.
We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.
Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference.
Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.
10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.
Please be aware of recruitment scams impersonating 10x Genomics. All recruiting communication will come from email addresses @10xgenomics.com. We also want to encourage you to apply to 10x Genomics positions directly on our careers site, Careers.10xgenomics.com or from reputable third party sites, such as LinkedIn or Indeed. We will never request payment or sensitive personal information during the recruiting process.
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.
The diffUSE Project is seeking a Scientist to join a multidisciplinary team to help build the infrastructure needed to host and distribute dynamic structural biology data. The diffUSE Project is an ambitious initiative designed to advance our understanding of protein dynamics by building the experimental methods, computational models, and global infrastructure needed to capture molecular motion at scale. Our goal is to establish dynamic structural biology as a foundational pillar of modern science, as transformative and indispensable as static structures have been.
This role will lead the development of standards that empower the structural biology community to deposit, validate, search, and leverage dynamic structural information at scale. A core focus will be establishing validation metrics and forward models for X-ray crystallography, cryo-EM, and related techniques, providing rigorous frameworks to assess the quality of structural models, distinguish geometric accuracy from fit to experimental data, and ensure scientific trustworthiness across diverse methodologies. This includes developing cross-modality validation metrics with a particular emphasis on ensemble and multistate models, where understanding which experimental data to validate against (i.e. raw images versus processed maps) and how such evaluations should be standardized and scaled within a database setting are open and consequential challenges.
The position involves architecting the foundational infrastructure alongside dedicated software engineers. Duties will also include building and socializing community standards to make dynamic structural biology data as accessible, reliable, and scientifically impactful as the Protein Data Bank has been for static structures. Your work will be central to evolving alongside algorithmic advances while upholding the highest standards of scientific rigor and reproducibility.
This is a full-time position within the diffUSE Project, in-person at Radial, a division of the Astera Institute.
• Oversee development of ensemble-aware validation frameworks that assess fit-to-data, physical realism, and uncertainty across diverse structural representations
• Identify and prioritize technical challenges, from data representation to validation frameworks
• Guide the creation of data deposition, search, and retrieval tools that allow users to interrogate and interpret structural heterogeneity at scale
• Help coordinate with stakeholders to ensure interoperability and adoption
• Work with software developers, data engineers, and user experience designers to translate scientific requirements into robust technical solutions
• Ph.D. in structural biology, biophysics, computational biology, or related field
• Demonstrated expertise in structural biology methods
• Deep understanding of structural heterogeneity and dynamics in biomolecular systems
• Experience with data standards, metadata frameworks, or scientific database development
• Strong collaborative skills and ability to build consensus across diverse scientific communities
• Experience with PDB, EMDB, BMRB, or other structural biology databases
• Knowledge of validation methods for experimental and computational structural data
• Familiarity with machine learning workflows and ML-ready data formats
• Background in model uncertainty quantification or ensemble refinement methods
• Understanding of software development practices and data engineering principles
• Track record of working at the interface of methods development and infrastructure
The posted salary range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location.
• Benefits summary
Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.
The Team
Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology—developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.
Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools.
The Opportunity
This role is part of the Data team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems.
The data that trains biological frontier models comes in dozens of modalities—sequences, images, spatial coordinates, time series, molecular structures, metadata, preprints and published papers—each with its own noise characteristics, biases, and information content. The question of how to represent this data for learning is one of the most important open problems in biological AI.
You will operate with broad scope and high autonomy, influencing roadmap decisions across teams while mentoring senior individual contributors. Success in this role means scaling data systems that are not only large, but adaptive, interpretable, and scientifically grounded, accelerating progress toward robust biological frontier models and ultimately advancing human health.
We're looking for data scientists who can work at this frontier: people who understand biological measurement deeply, think creatively about data representations and tokenization strategies, and can translate that thinking into novel training architectures. You'll work directly with experimental and computational scientists, data scientists and AI researchers to define what the models see and how they see it, and data engineers to make this work at scale. This is a role for someone who wants to invent the methods that make biological frontier models possible.
What You'll Do
• Design data representations and tokenization strategies for imaging data that enable novel model architectures
• Coordinate Experimental, Data Science, Data Engineering and AI Research teams to translate biological structure into learnable representations—defining priorities and appropriate structures for metadata and data that information models can access and consume
• Work across those teams to guide data acquisition priorities, define quality criteria, and assess external datasets from a representation perspective
• Develop and validate approaches for combining heterogeneous data modalities into unified training frameworks, designing for robustness to noise, bias, and batch effects
• Evaluate how representation choices impact model performance, identifying which biological signals are captured or lost and iterating to improve
What You'll Bring
• PhD in computational biology, bioinformatics, or a quantitative biological field
• Experience with tokenization strategies for non-text data (images, sequences, graphs, time series)
• Track record of novel methodological contributions (publications, open-source tools, or production systems)
• Familiarity with biological foundation models (ESM, scGPT, or similar)
• Deep understanding of imaging data, their underlying data characteristics, and how to transform raw data into ai-ready datasets
• Experience designing data representations or feature engineering for machine learning, ideally in scientific or biological contexts
• Familiarity with modern ML architectures (transformers, diffusion models, or similar) and how data representation choices affect learning
• Strong computational skills (Python, scientific computing libraries); comfort working with large-scale datasets
• Creative, first-principles thinking about how to structure data for learning
Compensation
The Redwood City, CA base pay range for a new hire in this role is $214,000 - $294,800. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.
Better Together
As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.
Benefits for the Whole You
We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice.
• Funding for select family-forming benefits.
• Relocation support for employees who need assistance moving
If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
#LI-Hybrid
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 MITHRL
We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought.
Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports.
Our traction speaks for itself:
• 12X year-over-year revenue growth
• Trusted by leading biotechs and big pharma across three continents
• Driving real breakthroughs from target discovery to patient outcomes.
ABOUT THE ROLE
We are hiring an Application Scientist to help customers unlock the full value of the Mithrl AI Co-Scientist and to produce high quality scientific assets that showcase the platform’s capabilities. This role requires a PhD level scientist with strong expertise in discovery biology, computational biology, or a related field, combined with excellent communication skills and a passion for working directly with customers and partners.
You will design and run analyses inside Mithrl, build publication-quality narratives and figures, and support discovery programs across biomarker identification, target discovery, target validation, and early preclinical development. You will also work closely with AEs and sales teams to explain the scientific value of the platform and help convert prospects into successful customers.
This role sits between science, customer engagement, and product. You will surface gaps that prevent customers from achieving true bench to bench workflows and bring structured feedback into engineering and product. If you enjoy scientific storytelling, applied analysis, customer partnership, and working with cutting edge AI tools, you will thrive here.
WHAT YOU WILL DO
• Produce publication quality analyses, case studies, whitepapers, and technical assets using Mithrl
• Support customers as they use Mithrl for biomarker discovery, target identification, target validation, and early preclinical studies
• Design and run analyses using the AI Co-Scientist and help customers interpret results
• Represent Mithrl in scientific and customer facing meetings
• Surface issues that prevent customers from moving smoothly from analysis to decision making and share clear feedback with engineering and product
• Support AEs and sales teams with scientific expertise during calls, demos, workshops, and evaluations
• Create example analyses and workflows that showcase Mithrl’s value to prospective customers
• Provide scientific training, onboarding, and best practice guidance for new users
• Collaborate with marketing on scientific content for conferences, events, and digital materials
• Act as a subject matter expert on discovery workflows and how Mithrl supports them end to end
WHAT YOU BRING
Required Qualifications
• PhD in biology, computational biology, bioinformatics, pharmacology, or a closely related field
• Strong expertise in discovery and preclinical development
• Ability to interpret multi modal biological data and produce high quality analyses
• Strong publication record or equivalent scientific writing and visualization experience
• Excellent communication and presentation skills for both scientific and non scientific audiences
• Ability to collaborate with sales teams and support product demonstrations with scientific credibility
• Comfort working directly with customers and supporting their scientific workflows
• Ability to translate complex scientific concepts into clear and actionable narratives
Nice to Have
• Experience using AI based, computational, or informatics platforms in discovery
• Experience with biomarker research, target discovery, or translational biology
• Experience in a customer facing scientific role such as application scientist, scientific liaison, or consulting scientist
• Familiarity with enrichment analysis, pathway interpretation, or similar analytic workflows
• Experience creating scientific content for marketing or conferences
WHAT YOU WILL LOVE AT MITHRL
• You will see your scientific work influence customer success, product strategy, and brand credibility
• Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders
• Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution
• Speed: We ship fast (2x/week) and improve continuously based on real user feedback
• Location: Beautiful SF office with a high-energy, in-person culture
• Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
ABOUT MITHRL
We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought.
Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports.
Our traction speaks for itself:
• 12X year-over-year revenue growth
• Trusted by leading biotechs and big pharma across three continents
• Driving real breakthroughs from target discovery to patient outcomes.
ABOUT THE ROLE
We are hiring an ML Engineer, Analysis and Simulation to build the core analytical and reasoning layer behind the Mithrl AI Co-Scientist. Your work will define how the AI interprets biological datasets, generates scientific conclusions, and orchestrates downstream simulation tools for drug discovery.
You will develop the reusable analysis modules that Mithrl runs for every dataset, and you will design multi step agentic workflows that combine statistical analysis, biological reasoning, and computational modeling. You will also integrate and experiment with simulation tools for small molecule discovery, such as ADMET prediction, docking scoring, Boltzmann generators and related computational chemistry engines.
This is the role that makes the AI Co-Scientist smart. If you have a strong background in ML, computational biology, and scientific analysis workflows, and you want to shape how AI reasons about biological systems, this is an exceptional opportunity.
WHAT YOU WILL DO
• Build AI driven analysis agents that perform biological reasoning across a wide range of datasets
• Develop the standard analysis suite for each dataset, including modules for differential expression, pathway analysis, feature importance, clustering, scoring, enrichment, and mechanism-of-action interpretation
• Build multi step workflows that combine ML models, statistical logic, and biological knowledge to produce high confidence insights
• Design and implement agentic reasoning strategies that allow Mithrl to run dozens analyses per dataset and synthesize the outputs into a coherent scientific narrative
• Integrate simulation and modeling tools for small molecule drug discovery, including ADMET prediction, docking scoring, generative chemistry tools, structure based modeling, and related computational frameworks
• Collaborate with the data engineering, bioinformatics, and curation teams to ensure analysis modules operate on clean and consistent data
• Validate results, benchmark pipelines, and ensure scientific accuracy and reproducibility of all analyses
• Contribute to the long term architecture for how the AI Co-Scientist performs reasoning, hypothesis testing, and simulation
WHAT YOU BRING
Required Qualifications
• Strong experience in machine learning, computational biology, or a related scientific ML field
• Experience developing analysis modules for biological or scientific datasets
• Familiarity with common techniques in target discovery, gene expression analysis, pathway inference, clustering, or statistical modeling
• Hands-on experience with computational chemistry or simulation tools, such as ADMET models, docking, binding prediction, or molecular generative models
• Proficiency in Python and scientific computing libraries
• Experience designing multi step reasoning or workflow based ML pipelines
• Ability to translate messy scientific questions into structured ML or analytical workflows
• Strong communication skills and comfort collaborating with cross functional scientific and engineering teams
Nice to Have
• Experience with LLM powered scientific agents or multi agent architectures
• Familiarity with phenotype based discovery, multi modal integration, or systems biology
• Background in computational chemistry or structure based drug discovery
• Experience with biological ontologies, curated knowledge graphs, or pathway databases
• Prior experience in a tech bio company, biotech R&D group, or scientific platform team
WHAT YOU WILL LOVE AT MITHRL
• High ownership: You will define how the AI Co-Scientist thinks and reasons about biology
• Impact: You will work at the intersection of ML, biology, and simulation, with direct impact on real discovery programs
• Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders
• Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution
• Speed: We ship fast (2x/week) and improve continuously based on real user feedback
• Location: Beautiful SF office with a high-energy, in-person culture
• Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
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 real insights in minutes. Scientists ask questions in natural language, and Mithrl responds with analysis, novel targets, hypotheses, and patent-ready reports.
Our traction speaks for itself:
• 12X year-over-year revenue growth• Trusted by leading biotechs and big pharma across three continents
• Driving real breakthroughs from target discovery to patient outcomes.
ABOUT THE ROLE
We are looking for a Lead Bioinformatics Pipeline Engineer to build and scale Mithrl’s multi modal scientific processing pipelines. You will own the workflows that transform raw biological data into clean, reproducible outputs that power Mithrl’s AI Co-Scientist. These workflows include microarray, imaging, spatial transcriptomics, genomics, epigenomics, flow cytometry, and more.
This role sits at the center of our technical stack. You will architect Nextflow and nf-core style pipelines, implement modality-specific validation and QC layers, and collaborate with the Tabular Data Team and Knowledge Curation Team to ensure downstream data harmonization, variable ID mapping, and schema alignment. Your work ensures that scientists can ask questions and receive accurate data-backed answers instantly.
If you enjoy building robust scientific workflows and want to work on high impact problems, you will thrive here.
WHAT YOU WILL DO
• Design and maintain production grade bioinformatics pipelines for a wide range of data modalities, including microarray, cell painting, WGS and WES, spatial transcriptomics, flow cytometry, ATAC-seq, and methyl-seq• Build workflows using Nextflow, nf-core modules, or similar engines with a focus on reproducibility, validation, and scalability
• Implement quality control, validation, and provenance tracking for all supported modalities
• Collaborate with the Tabular Data Team to ensure pipeline outputs map cleanly into Mithrl’s internal schemas, including variable ID coercions, metadata normalization, and feature name harmonization
• Work with the Knowledge Curation Team to align outputs with reference genomes, annotations, and biological ontologies
• Produce structured output artifacts so users can download processed data and supporting metadata directly through the platform
WHAT YOU BRING
Required Qualifications
• 6 to 8 years of experience in bioinformatics workflow engineering or computational biology
• Strong experience with Nextflow, nf-core, WDL, CWL, Snakemake, or similar workflow systems
• Proficiency in Python or R for data processing, QC, and pipeline logic
• Hands-on experience building pipelines for multiple biological data types, including genomics, single cell, imaging, flow cytometry, spatial data, or epigenomics
• Ability to design pipelines that are reproducible and containerized using Docker or Singularity
• Strong understanding of secondary and tertiary data layers and how they integrate with downstream analysis systems• Experience integrating pipeline outputs with data stores, schemas, or ML-ready formats
Nice to Have
• Experience executing pipelines in cloud environments such as AWS Batch, ECS, Tower, or Nextflow Cloud
• Experience with imaging workflows such as CellProfiler, DeepCell, or Squidpy
• Familiarity with genomic reference databases, annotation formats, and biological ontologies
• Previous work in a tech bio startup, biotech R&D group, or scientific software company
WHAT YOU WILL LOVE AT MITHRL
• You will build the core pipelines that transform raw biological data into insights used by the AI Co-Scientist
• Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders
• Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution
• Speed: We ship fast (2x/week) and improve continuously based on real user feedback
• Location: Beautiful SF office with a high-energy, in-person culture
• Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
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 here.
About the Role:
We are seeking a scientist to join the diffUSE Project, which focuses on developing next-generation protein representations that bridge dynamic structural biology to downstream functional applications. The diffUSE Project is an ambitious initiative designed to advance our understanding of protein dynamics by building the experimental methods, computational models, and global infrastructure needed to capture molecular motion at scale. Our goal is to establish dynamic structural biology as a foundational pillar of modern science, as transformative and indispensable as the Protein Data Bank has been for static structures.
In this role, you will help build ensemble-aware protein representations and/or metrics to enable the integration with other inputs such as protein language model (PLM), ligand binding data, mutational data, and/or functional information. You will design and maintain large-scale bioinformatic pipelines, manage complex datasets, develop metrics for dynamics and/or fine-tune or architect ML models to capture sequence-structure-function relationships. A key part of the role involves synthesizing diverse data sources to improve biological relevance. You will work closely with experimental collaborators to ground computational insights in real biological systems.
Key Responsibilities:
• Build ensemble-aware protein representations that integrate PLM and LLM embeddings with experimentally derived structural heterogeneity for functional prediction
• Design, develop, and maintain large-scale bioinformatic pipelines capable of processing and managing complex, high-dimensional datasets
• Fine-tune or architect ML models to capture sequence-structure-function relationships, with a focus on dynamic and conformational features
• Synthesize diverse data sources spanning evolutionary history, binding affinity, allostery, and functional annotations to improve model performance and biological relevance
• Collaborate closely with experimental partners to ground computational representations in real biological measurements and ensure models are continuously refined against experimental ground truth
• Contribute to the broader diffUSE infrastructure, helping establish community-wide standards and tools for dynamic structural biology
Required Skills and Qualifications:
• PhD in bioinformatics, computational biology, machine learning, or a related field.
• Strong understanding of protein structure and function.
• Demonstrated experience building large bioinformatic pipelines and managing high-dimensional datasets.
• Proficiency in fine-tuning or modifying ML models (e.g., transformer-based architectures).
• Familiarity with protein language models (ESM, AlphaFold, etc.) is a plus.
• Collaborative, team-oriented mindset with the ability to drive research questions from conception to execution.
Compensation
Commensurate with experience.
• Benefits summary
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 here.
About the Role:
The diffUSE Project at Astera Institute/Radial is building open infrastructure for dynamic structural biology, making protein conformational and ensemble data findable, validated, and reusable at scale. The Research Assistant will support this mission by maintaining data pipelines, curating structural datasets, and running validation checks across X-ray, cryo-EM, and ensemble-derived data, working closely with Scientists and software engineers on day-to-day technical execution. This is a full-time, in-person role suited to someone early in their research career who wants hands-on exposure to structural biology data infrastructure in a fast-moving, multidisciplinary environment. The ideal candidate is detail-oriented, comfortable with ambiguity, and motivated by the goal of making scientific data more open and reusable.
Key Responsibilities
• Maintain and run bioinformatic pipelines for structural data processing, curation, and quality control.
• Support development and benchmarking of validation metrics against experimental datasets.
• Assist with data deposition, formatting, and documentation to meet community data standards.
• Help prepare datasets, figures, and summaries for publications, reports, and presentations.
• Coordinate with Scientists and engineers on routine data management tasks and troubleshooting.
Required Skills and Qualifications
• BS or MS in bioinformatics, structural biology, computational biology, or a related field.
• Working proficiency in Python and familiarity with structural file formats (PDB, mmCIF, mtz).
• Strong organizational skills and close attention to detail in data handling.
• Comfortable working across computational and experimental teams in a research setting.
• Preferred: exposure to crystallography or cryo-EM data processing; familiarity with PDB, EMDB, or related databases.
Compensation
Commensurate with experience.
• Benefits summary
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.
Bioinformatics Engineer - Biologics Drug Discovery
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 a Bioinformatics Engineer to join our Biologics Drug Discovery 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 biologics therapeutics datasets. Working with software engineers and biologists, you'll build ground-truth benchmark datasets - drawn from real antibody and protein discovery programs - that rigorously test whether agents can perform the critical decision-making steps that human scientists execute.
Your hands-on expertise in variant ranking, enrichment analysis, and advancement prioritization will define how we measure agent capability in therapeutic discovery.
Requirements
• 2+ years hands-on experience with biologics discovery or development (antibody engineering, protein engineering, or cell/molecular biology-driven target validation)• Experience interpreting binding kinetics (SPR/BLI), biophysical stability data, and/or cell-based potency assays• Proficiency in Python and/or R for data analysis & visualization• Familiarity with at least one of:• Antibody optimization (CDR engineering, VH/VL pairing, variant screening)• Protein structure (AlphaFold, cryo-EM, docking)• High-throughput antibody/binding screens• PK/PD modeling for biologics (target occupancy, half-life, clearance)• Bioprocess/manufacturability constraints
Nice-to-Have
• Experience with immunogenicity risk assessment• Hands-on work with potency assay design (ELISA, cell-based, biochemical)• CMC/GMP-adjacent knowledge
Culture @ Latch
How we work. Genuinely flexible schedules - we just ask that you communicate when you're coming in later than usual. We care most about hard work and output. We're respectfully opinionated, it will always be us against problems, not each other. Optimize for each other's time and bring solutions, not just problems. You'll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.
The office & perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.
Compensation & Logistics
• 1099 (or W8-BEN) contract, 40 hrs/week, no end date• Fully performance-based pay: $120K–$180K, uncapped upside. 2x quota = 2x pay.• 2-4 week paid ramp—full OTE from day one• Remote (globally), hybrid, or onsite in SF (onsite preferred)• Work authorization: OPT visa holders only (not STEM Extension)• Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)• Candidates with all of the above qualifications + proven management skills will be eligible for more senior positions
Interview Process
Timeline: We move fast: 8–12 days from submission to offer.
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
At Nautilus, we have a big and important mission: improve the health of millions by unleashing the potential of the proteome to accelerate drug development and enable a new world of precision and personalized medicine. 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.
We are hiring a full-stack Senior Software Engineer II to join our growing team. As an early-stage company bringing a first-of-its-kind platform to market, this role is necessarily multi-faceted: it combines hands-on full stack development, a genuine passion for delivering great customer experiences, and technical leadership within the engineering organization. You will design and deliver major capabilities within our cloud-based Discovery Platform where customers explore, visualize, and analyze their protein identification and quantification results. You will work closely with bioinformatics and biology teams to understand what our customers are trying to learn from their data and collaborate with the teams responsible for the pipelines and backend systems that transform raw instrument data into the results our customers depend on. Your technical and leadership contributions will have a meaningful impact on our team and the company on our path to the future.
This position will report to the Senior Manager, Software Engineering, and is located at our Seattle, WA office.
Responsibilities
• You will own and deliver major capabilities within our Discovery Platform, from the interactive experiences our customers use to explore and understand their results, to the backend data systems that store, process, and serve the large and complex scientific datasets that power them. You will see these capabilities through their full lifecycle: design, development, deployment, and ongoing operation.
• You will bring genuine curiosity to the science behind the data, working alongside bioinformaticians, biologists, and product teams to deeply understand what our customers are trying to learn from their results and why it matters.
• You will collaborate with teams responsible for the ETL pipelines and algorithms that transform raw instrument data into the protein quantification results our customers depend on.
• You will lead with ownership. You will drive technical design, contribute to architecture decisions, and hold a high bar for security, reliability, and scale. You will also help develop the engineers around you through thoughtful code review, mentorship, and honest technical dialogue.
• You will embrace AI as a collaborative partner across the software development lifecycle. You are skilled at prompting and critically evaluating AI-generated work, and you actively explore new ways AI can improve how we build and operate software.
Qualifications
• You have a minimum of 5 to 7 years of relevant experience in a high-performing software engineering organization. A bachelor’s degree in computer science or a related field is required.
• You have a strong command of Python/FastAPI, React/TypeScript, and AWS cloud services. You have solid experience with relational databases and an understanding of columnar data stores. Familiarity with Parquet and query engines such as AWS Athena is a plus.
• You are customer obsessed. You understand that backend code is just as much a part of the customer experience as the interface they interact with. You want to know who our customers are, what they need, and how the systems you build enable them.
• You are focused on outcomes. You think in terms of impact delivered, not tasks completed. You hold yourself accountable to the difference your work makes for customers and for the business.
• You design software with its full lifecycle in mind. You have strong opinions about observability, and you understand that great software is software that can be confidently operated, monitored, and evolved long after it ships.
Nautilus Team Culture
• We are curious go-getters: this is a team of life-long learners who aren’t afraid to tackle the big challenges while continuously pushing ourselves forward.
• We are detail oriented: we do great science by working smart and with diligence, and by learning from our mistakes.
• We are easy to work with: we want our workplace to be one where everyone can share their perspective and be treated with respect and kindness.
Bioinformatics Engineer - Biosurveillance
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 a Bioinformatics Engineer to join our Biosurveillance team, working at the frontier of what artificial intelligence can achieve in biology.
About the Role
You will contribute to our technical approach to teaching agents how to understand and handle complex infectious disease surveillance and molecular epidemiology data, working across end-to-end analysis workflows from sequencing outputs to real scientific decisions.
You will work as part of a team of software engineers and biologists building datasets to teach these agents to reason better across:
• Clinical or environmental metagenomics, including sequencing quality control, taxonomic classification, contamination assessment, pathogen discovery, and metagenomic assembly.• Viral genome reconstruction, annotation, consensus generation, lineage or subtype assignment, and sequencing quality assessment.• Variant calling, within-host diversity, mixed infections, haplotype reconstruction, recombination, and reassortment.• Phylogenetics, phylodynamics, viral evolution, genomic epidemiology, transmission analysis, and outbreak reconstruction.• Wastewater, air, or environmental surveillance, including mixture analysis, abundance estimation, and integration with clinical surveillance.• Molecular assay design, including qPCR primers and probes, tiled amplicon schemes, inclusivity and exclusivity analysis, and assay-dropout monitoring.• Host-response analysis using bulk RNA-seq, single-cell RNA-seq, spatial data, immune-receptor sequencing, or other multiomic measurements.• Antigenic evolution, immune escape, vaccine-strain selection, antiviral resistance, or viral protein analysis.• Infectious disease modeling, forecasting, population surveillance, and integration of genomic, epidemiological, and clinical data.• Public-health bioinformatics, reproducible scientific software, data standards, uncertainty assessment, and communication of results to scientific decision-makers.
Experience across every area is not required. We value candidates who have developed depth in one area and can reason carefully across adjacent disciplines.
Requirements
• 3+ years hands-on experience with infectious disease surveillance, metagenomics, or molecular epidemiology data• Proficiency in Python and/or R
Culture @ Latch
How we work. Genuinely flexible schedules - we just ask that you communicate when you're coming in later than usual. We care most about hard work and output. We're respectfully opinionated, it will always be us against problems, not each other. Optimize for each other's time and bring solutions, not just problems. You'll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.
The office & perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.
Compensation & Logistics
• 1099 (or W8-BEN) contract, 40 hrs/week, no end date• Fully performance-based pay: $120K–$180K, uncapped upside. 2x quota = 2x pay.• 2-4 week paid ramp - full OTE from day one• Remote (globally), hybrid, or onsite in SF (onsite preferred)• Work authorization: OPT visa holders only (not STEM Extension)• Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)• Candidates with all of the above qualifications + proven management skills will be eligible for more senior positions
Interview Process
Timeline: We move fast: 8–12 days from submission to offer.
Bioinformatics Engineer - VariantAs 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 a Bioinformatics Engineer to join our Variant team working at the frontier of what artificial intelligence can achieve in biology.
About the Role
You'll design, build, and evaluate LLM benchmarks for genomic analysis - spanning read alignment, assembly, variant calling, GWAS, causal inference, and multiomics integration. Your benchmarks and evaluations will set the bar for how well AI agents can serve as analysis partners for scientists working with human genetics data.
You'll own the full evaluation pipeline: choosing datasets, defining failure modes, writing grading scripts, and shipping evaluations that measure real capability. Your work directly impacts how LLMs reason through genomic problems.
Requirements
• Master's or PhD in bioinformatics, genetics, biology, statistics, or related field• 3-5 years of hands-on research experience analyzing genomics datasets (especially human data), demonstrated through publications or industry work• Deep expertise in at least one of: population genetics, statistical genetics, clinical genomics• Fluency with genotyping workflows: variant calling, fine-mapping, Mendelian randomization
Nice-to-Have
• Experience building open-source bioinformatics software• Familiarity with LLM-powered tools, prompting, or evaluation frameworks• Background in cross-trait analysis or multiomics integration
Culture @ Latch
How we work. Genuinely flexible schedules - we just ask that you communicate when you're coming in later than usual. We care most about hard work and output. We're respectfully opinionated, it will always be us against problems, not each other. Optimize for each other's time and bring solutions, not just problems. You'll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.
The office & perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.
Compensation & Logistics
• 1099 (or W8-BEN) contract, 40 hrs/week, no end date• Fully performance-based pay: $120K–$180K, uncapped upside. 2x quota = 2x pay.• 2-4 week paid ramp - full OTE from day one• Remote (globally), hybrid, or onsite in SF (onsite preferred)• Work authorization: OPT visa holders only (not STEM Extension)• Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)• Candidates with all of the above qualifications + proven management skills will be eligible for more senior positions
Interview Process
Timeline: We move fast: 8–12 days from submission to offer.
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.
WHO WE ARE
Parse Biosciences, a QIAGEN company, is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, its pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system.
Founded based on a transformative technology invented at the University of Washington, Seattle-based Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis.
THE PRODUCT
We’ve built the most popular, freely available cloud-based platform for single cell RNA sequencing data analysis - Trailmaker. Trailmaker allows anyone to easily turn their single cell datasets into meaningful biology. With >1200 monthly active users from top tier research institutions across the world, we’re offering a rare opportunity to join our team and change the world by building tools that help to improve human health.
The user requirements for Trailmaker dictate a unique set of technical challenges. Handling big data files, running custom data processing pipelines, on-the-fly computation, and providing interactive data visualisations with millions of data points are just some of the challenges our team is busy with!
THE POSITION
As a Bioinformatics Engineer II within the Trailmaker development team, you will play a key role in guiding the technical direction of the platform while contributing hands-on across the full stack. You’ll collaborate closely with other engineers to architect and build new features that drive user engagement. This is a highly collaborative environment with no division between backend, frontend or testing roles - each engineer contributes to any part of the codebase and is responsible for the entire development process from work planning, through implementation and writing tests to completing the feature.
YOU CAN EXPECT
• An agile, diverse and multidisciplinary team.• A supportive, inclusive and transparent working environment where teammates learn from and help each other all the time.• A place to look at things differently, challenge and offer solutions.• A small team environment where you will have the opportunity to make a significant impact by actively driving change in technology, processes and culture.• A fast-paced environment of continuous improvement, optimised for impact.
IN THIS POSITION, YOU WILL
This position is for full time, 100% remote work. We would expect you to:
• Always put the user first.• Design, prototype, develop, and test new computational pipelines and visualizations for single cell data analysis in Trailmaker.• Continuously iterate and improve existing single cell pipelines and features.• Receive and incorporate feedback from customers and colleagues.• Perform troubleshooting of customer analyses.• Keep up-to-date on the rapidly evolving field of single cell genomics and relay observations of new methods, benchmarking studies, etc. to the team.• Experiment, test, try, fail and learn continuously.• Think like an owner, and take pride in your work.• Help and mentor teammates.
FOR THIS POSITION, WE LOOK FOR
• Someone excited about building tools that will be used by thousands of single cell researchers.• A track record of designing, building and improving data analysis software that solves user problems.• A degree in bioinformatics (or similar) and 3+ total years of experience working in bioinformatics engineer roles. Additional experience (5+ years) is necessary to be appointed at Bioinformatics Engineer II level.• Fluent in Python and R.• Practical experience of working with open source single cell data analysis tools and packages, including Scanpy and Seurat.• Competency working with container-based cloud applications, ideally on AWS.• Strong data visualization skills.• Significant experience in conducting code reviews and providing feedback to others.• Experience and desire to work as part of a close-knit team.• Experience using version control systems such as Git/GitHub is preferred.• Proficiency building pipelines with Nextflow or similar frameworks is preferred.• Experience of integrating AI tools into development workflows is preferred.• Knowledge of and/or interest in web development is preferred.• Experience working with Bash is preferred.
JOB CONDITIONS
• This position is home office based and will require a reliable internet connection and suitable workspace to fulfill job duties effectively. Laptop and any other essential technical/home office equipment will be provided.• Regular communication and collaboration with team members will occur virtually through Zoom meetings, Slack instant messaging/huddles, and email.
Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law.
As part of our commitment to fairness and inclusion, we do not use artificial intelligence or automated systems to screen job applications. Every application is reviewed by a member of our hiring team to ensure that hiring decisions are made thoughtfully and equitably.
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
WHO WE ARE
Parse Biosciences, a QIAGEN company, is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, its pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system.
Founded based on a transformative technology invented at the University of Washington, Seattle-based Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis.
THE PRODUCT
We’ve built the most popular, freely available cloud-based platform for single cell RNA sequencing data analysis - Trailmaker. Trailmaker allows anyone to easily turn their single cell datasets into meaningful biology. With >1200 monthly active users from top tier research institutions across the world, we’re offering a rare opportunity to join our team and change the world by building tools that help to improve human health.
The user requirements for Trailmaker dictate a unique set of technical challenges. Handling big data files, running custom data processing pipelines, on-the-fly computation, and providing interactive data visualisations with millions of data points are just some of the challenges our team is busy with!
THE POSITION
As a Bioinformatics Engineer II within the Trailmaker development team, you will play a key role in guiding the technical direction of the platform while contributing hands-on across the full stack. You’ll collaborate closely with other engineers to architect and build new features that drive user engagement. This is a highly collaborative environment with no division between backend, frontend or testing roles - each engineer contributes to any part of the codebase and is responsible for the entire development process from work planning, through implementation and writing tests to completing the feature.
YOU CAN EXPECT
IN THIS POSITION, YOU WILL
This position is for full time, 100% remote work. We would expect you to:
FOR THIS POSITION, WE LOOK FOR
JOB CONDITIONS
Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law.
As part of our commitment to fairness and inclusion, we do not use artificial intelligence or automated systems to screen job applications. Every application is reviewed by a member of our hiring team to ensure that hiring decisions are made thoughtfully and equitably.
BENEFITS & COMPENSATION
To meet the health and wellness needs of our team, Parse offers a comprehensive benefits package for all full time employees, including:
Market Pay Range: $100,000 — $135,000 USD
Exact compensation offered will be determined based on the candidate’s education, experience, skills, and geographic location, and may vary for candidates in regions with significantly different market conditions.
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, drug development, bioinformatics, data science, genetics and chemistry, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how medicines are created.
About the role
The Principal Research Associate will join our Platform Biology team 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 characterize our novel compounds, including performing automated high-throughput arrayed screening, as well as downstream characterization of these molecules. Further, you will be instrumental in helping develop, optimise and implement novel cellular and protein assays to advance our internal therapeutics portfolio. The ideal candidate will have strong cell biology expertise, and hands-on experience using primary hepatocyte cells. Relevant knowledge of RNA modalities such as ADAR, ASO, mRNA and/or siRNAs is also highly beneficial. The successful candidate should demonstrate initiative, technical ownership and be able to thrive in a dynamic work environment with cross-functional teams working together to achieve company goals.
This position is onsite at our Cambridge, MA site.
Key Responsibilities
Basic Qualifications
Preferred Qualifications
What We Offer
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!
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 have 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
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.
Altos Labs is a mission-driven biotechnology company focused on restoring cell health and resilience through cell rejuvenation to reverse disease, injury, and disabilities. Named one of the Top 3大 Biotech Companies and ranked on the Forbes Best Startups in America list, Altos Labs brings together exceptional global scientists and industry leaders within an inclusive, collaborative culture centered on scientific excellence and belonging.
The Mass Spectrometry Hub sits within the Institute of Technology, utilizing an array of cutting-edge instrumentation. The Metabolomics Group Lead is responsible for the end-to-end management of metabolomics and lipidomics projects—spanning experimental design, sample preparation, measurement, data processing, and delivery. This role collaborates closely with scientific and bioinformatics teams to guarantee robust data generation and maintain operational excellence across liquid chromatography-mass spectrometry (LC-MS) platforms.
Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.
Altos Labs provides equal employment opportunities to all employees and applicants 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 law.
Altos Labs will never ask you to download a third-party messaging app for an interview, nor will they require an outlay of your own money to begin employment. If you experience an interaction matching this description from individuals claiming to represent the company, it is a fraudulent job scam.
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 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.
$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.
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.
GATC Health is an innovative TechBio company at the forefront of revolutionizing pharmaceutical discovery and accelerating their development through the integration of artificial intelligence (AI), science and finance. Our company is dedicated to advancing therapeutic discoveries and improving human health by leveraging the power of technology and interdisciplinary collaboration.
We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that is responsible for implementing and aiding in design and analysis software and informatics pipelines for primary, secondary, and tertiary analysis of data generated from transcriptional, proteomic, and mult-omic assays. As a Bioinformatics Scientist, you will innovate, develop and implement novel analysis methods for different data types from sparse to large and complex datasets to support the internal development and validation of new pharmaceutical assets and the development of end-user, customer-facing data analysis and visualization for biotech customers and stakeholders. A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ideal fit for this position.
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 Biohub is a group of nonprofit research institutes that bring together scientists, engineers, and physicians with the goal of pursuing grand scientific challenges on 10- to 15-year time horizons. The Biohub focuses on understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies.
Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution.
The Biohub Chicago is seeking an exceptional Computational Biologist, Spatiotemporal Multi-Omics to join our growing team. We are looking for a creative and collaborative bioinformatics researcher who is excited to build the analytical foundation for our spatiotemporal multi-omics technology platform.
The base pay range for a new hire in this Chicago, IL role is $130,000 - $163,000.
To strengthen in-person connections and cultivate a 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). Specific in-office days are determined at the hiring manager's discretion.
We offer a wide range of benefits to support the incredible people behind our work:
Our Application Philosophy: 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.
Rapidly Growing Life Sciences Technology Company
Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health.
We are looking for a highly motivated Staff Bioinformatics Scientist to join our Oncology Applications team!
As a Staff Bioinformatics Scientist, you will develop and apply computational methods for analyzing next-generation sequencing (NGS) data generated on Ultima’s platform. This role will involve building robust pipelines, developing novel algorithms, collaborating cross-functionally with molecular biology, software engineering, and product teams, and driving insights from complex genomic datasets, with a focus on growing Oncology Applications.
This position is ideal for someone who thrives in a dynamic, fast-paced environment and can effectively balance multiple high-impact projects. In addition to core R&D responsibilities, you will contribute to external-facing scientific communications and support collaborations with customers and partners.
This is a full time remote position with preferred locations in San Francisco, Boston, and Washington D.C.
At Ultima Genomics, your base pay is one part of your total compensation package. This role pays between $135,000 and $170,000, if performed in California, and your actual base pay will depend on your skills, qualifications, experience, and location. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits.
#LI-Remote
Ultima Genomics is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunity for all applicants and employees. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.
See also Ultima Genomics’ EEO Policy and Know Your Rights. If you have a disability or special need that requires accommodation, please let us know by contacting recruiting@ultimagen.com.
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 Senior Software Engineer to help design, build, and scale Profluent’s data platform. This platform houses data from protein engineering campaigns, including protein designs, experimental results, partner datasets, analytical outputs, and model-ready training data. It enables rapid machine learning, biological discovery, and secure collaboration across internal and external programs.
This role is ideal for an engineer who enjoys building robust data systems: secure ingestion pipelines, well-structured warehouses, reliable data models, access controls, auditability, and infrastructure that makes complex scientific data usable at scale. You will work closely with ML, bioinformatics, and program teams to ensure Profluent’s data is organized, governed, accessible, and protected.
Work Authorization RequirementApplicants 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 VerificationLegal 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 is an AI-first protein design company founded in 2022. Based in Emeryville, CA, the company develops deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. They 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 are seeking an experienced computational scientist to lead the design, development, and operation of the NGS analysis platform that powers Profluent’s gene editing and protein design programs. This role sits at the intersection of computational biology, software engineering, and experimental biology to build scalable systems for extracting actionable insights from large-scale sequencing data. You will architect core bioinformatics infrastructure, define analytical strategy, and collaborate closely with experimental and ML teams to accelerate design-build-test-learn cycles. You will also mentor team members, promote software engineering best practices, and help shape the future of Profluent’s computational biology capabilities.
Profluent Bio, Inc. is an equal opportunity employer. Legal authorization to work in the United States is required. 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.
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
About Ultima GenomicsUltima Genomics is a rapidly growing company developing ground-breaking genomics technologies. Their mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. They have developed a foundational new approach to sequencing at scale that overcomes the limitations of current high-cost technologies. The company is well-funded, having raised approximately $600 million from global top-tier investors. Their diverse team includes entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, and operations leaders.
The R&D team in Israel is looking for a highly motivated Bioinformatics Researcher II to join their team. You will design and execute analyses on Ultima sequencing data, develop computational methods, and build scalable pipelines that turn raw data into clear biological insights, working at the intersection of biology, computing, and AI.
Ultima Genomics is an equal opportunity workplace and an affirmative action employer.
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.
Company Overview: GATC Health is an innovative TechBio company at the forefront of revolutionizing pharmaceutical discovery and accelerating their development through the integration of artificial intelligence (AI), science and finance. Our company is dedicated to advancing therapeutic discoveries and improving human health by leveraging the power of technology and interdisciplinary collaboration.
Position Overview: We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that is responsible for implementing and aiding in design and analysis software and informatics pipelines for primary, secondary, and tertiary analysis of data generated from transcriptional, proteomic, and mult-omic assays. As a Bioinformatics Scientist, you will innovate, develop and implement novel analysis methods for different data types from sparse to large and complex datasets to support the internal development and validation of new pharmaceutical assets and the development of end-user, customer-facing data analysis and visualization for biotech customers and stakeholders. A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ideal fit for this position.
$70,000 - $85,000 a year
Why Join Us:
• Opportunity to work at the intersection of technology and science, driving innovation in pharmaceutical discovery.
• Collaborative and inclusive work culture that values diversity, creativity, and continuous learning.
• Competitive compensation package, including salary, benefits, and opportunities for professional development.
• Chance to make a meaningful impact on human health and contribute to groundbreaking research and development projects.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.