About Anthrogen
Anthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines — and the experimental infrastructure to instantiate them.
A core part of that infrastructure is a robotic lab that can run biology at a scale and consistency humans can't match. To get there, our robots need to learn from the best: expert scientists demonstrating how real molecular biology gets done. That's where you come in.
The role
As a Research Associate, you'll run molecular biology protocols on our robotic platforms and, in doing so, generate the demonstration data we use to train policies for autonomous experimentation. You're not just doing the science — you're teaching our robots to do it. Every clean cloning run, every well-executed prep is a training example that moves us closer to a lab that designs and runs its own experiments.
This is a rare seat: half expert wet-lab scientist, half the person who teaches a robot to be one.
What you'll do
Execute molecular biology protocols — cloning, transformations, PCR, protein expression and purification, assay development — to a high standard of reproducibility.
Operate and teleoperate our robotic systems to perform these protocols, producing high-quality demonstration data.
Work closely with our ML and robotics teams to surface failure modes, improve data quality, and expand the library of protocols the robots can learn.
Help redesign bench workflows so they translate cleanly to automation.
Grow with a rapidly scaling autonomous lab, taking on more ownership as we do.
Who you are
Hands-on molecular biology experience (BS/MS in a life science or equivalent bench experience). You're meticulous, reproducible, and have excellent lab technique.
A genuinely great gamer. Fast, precise hand-eye coordination, comfort with controllers and complex interfaces, and strong spatial reasoning — we'll train you on the robots, and the skills transfer more than you'd think.
Comfortable with ambiguity and the pace of an early-stage lab.
Excited, not threatened, by the idea of automating parts of your own job to allow you to focus on the parts that only people can do. That's the whole point, and you think it's cool.
Bonus points
Experience with lab automation or liquid handlers (Opentrons, Hamilton, Tecan).
Robotics, teleoperation, or hardware tinkering experience.
Some Python or scripting.
A competitive or high-skill gaming background — speedrunning, fighting games, sim racing, FPS, whatever proves the hands.
Logistics
Onsite in San Francisco — the robots live here, and so should you.
Equity: 0.01-0.1%.
","descriptionPlain":"About Anthrogen\n\nAnthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines — and the experimental infrastructure to instantiate them.\n\nA core part of that infrastructure is a robotic lab that can run biology at a scale and consistency humans can't match. To get there, our robots need to learn from the best: expert scientists demonstrating how real molecular biology gets done. That's where you come in.\n\nThe role\n\nAs a Research Associate, you'll run molecular biology protocols on our robotic platforms and, in doing so, generate the demonstration data we use to train policies for autonomous experimentation. You're not just doing the science — you're teaching our robots to do it. Every clean cloning run, every well-executed prep is a training example that moves us closer to a lab that designs and runs its own experiments.\n\nThis is a rare seat: half expert wet-lab scientist, half the person who teaches a robot to be one.\n\nWhat you'll do\n\n - Execute molecular biology protocols — cloning, transformations, PCR, protein expression and purification, assay development — to a high standard of reproducibility.\n\n - Operate and teleoperate our robotic systems to perform these protocols, producing high-quality demonstration data.\n\n - Work closely with our ML and robotics teams to surface failure modes, improve data quality, and expand the library of protocols the robots can learn.\n\n - Help redesign bench workflows so they translate cleanly to automation.\n\n - Grow with a rapidly scaling autonomous lab, taking on more ownership as we do.\n\nWho you are\n\n - Hands-on molecular biology experience (BS/MS in a life science or equivalent bench experience). You're meticulous, reproducible, and have excellent lab technique.\n\n - A genuinely great gamer. Fast, precise hand-eye coordination, comfort with controllers and complex interfaces, and strong spatial reasoning — we'll train you on the robots, and the skills transfer more than you'd think.\n\n - Comfortable with ambiguity and the pace of an early-stage lab.\n\n - Excited, not threatened, by the idea of automating parts of your own job to allow you to focus on the parts that only people can do. That's the whole point, and you think it's cool.\n\nBonus points\n\n - Experience with lab automation or liquid handlers (Opentrons, Hamilton, Tecan).\n\n - Robotics, teleoperation, or hardware tinkering experience.\n\n - Some Python or scripting.\n\n - A competitive or high-skill gaming background — speedrunning, fighting games, sim racing, FPS, whatever proves the hands.\n\nLogistics\n\nOnsite in San Francisco — the robots live here, and so should you.\n\nEquity: 0.01-0.1%.","compensation":{"compensationTierSummary":"$100K – $150K • We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","scrapeableCompensationSalarySummary":"$100K - $150K","compensationTiers":[{"id":"d4c91982-d63d-48f8-867f-12d68d336602","tierSummary":"$100K – $150K • We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","title":null,"additionalInformation":"We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","components":[{"id":"f3025b24-cbff-47e4-99dd-b4496bd06e65","summary":"$100K – $150K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":100000,"maxValue":150000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":100000,"maxValue":150000}]}},{"id":"4c871121-31c6-4001-b872-66a8bc3a9514","title":"Member of Technical Staff (Research Scientist)","department":"Technical Staff","team":"Technical Staff","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-07T19:38:40.870+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/anthrogen/4c871121-31c6-4001-b872-66a8bc3a9514","applyUrl":"https://jobs.ashbyhq.com/anthrogen/4c871121-31c6-4001-b872-66a8bc3a9514/application","descriptionHtml":"About Anthrogen
Anthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines — and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.
The role
We want researchers with great intuition in machine learning and solid fundamentals —irrespective of bio background. You'll drive original research on the architectures, training objectives, and scaling behind our models, owning an agenda from idea to result. We're a small, high-density team building frontier AI and the biological systems to validate it, and we index on research taste and output, not credentials.
What you'll do
Push on generative models (diffusion, autoregressive), architectures, optimization, and scaling.
Turn research directions into models that work, in close collaboration with our engineering team.
Help define what frontier AI for biology looks like.
Who you are
You have a track record of original research (first-author work at NeurIPS, ICML, ICLR, AISTATS, JMLR, TMLR, other top conferences/journals, impactful open models, or comparable research output).
Deep command of modern deep learning: generative models, architectures, optimization, and scaling.
You drive a research agenda independently, from idea to experiment to result.
High-agency, in person, and comfortable with the ambiguity of frontier research.
Bonus points
Range across subfields — a strong researcher who picks up new domains fast, or meaningful time in an ML-for-something domain (robotics, biology, physics).
Widely-used open-source models or research artifacts.
Familiarity with the protein-ML landscape.
Interest in biology, protein design, and AI for science.
Logistics
Full-time, onsite in San Francisco.
Equity: 0.05-0.5%.
","descriptionPlain":"About Anthrogen\n\nAnthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines — and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.\n\nThe role\n\nWe want researchers with great intuition in machine learning and solid fundamentals —irrespective of bio background. You'll drive original research on the architectures, training objectives, and scaling behind our models, owning an agenda from idea to result. We're a small, high-density team building frontier AI and the biological systems to validate it, and we index on research taste and output, not credentials.\n\nWhat you'll do\n\n - Push on generative models (diffusion, autoregressive), architectures, optimization, and scaling.\n\n - Turn research directions into models that work, in close collaboration with our engineering team.\n\n - Help define what frontier AI for biology looks like.\n\nWho you are\n\n - You have a track record of original research (first-author work at NeurIPS, ICML, ICLR, AISTATS, JMLR, TMLR, other top conferences/journals, impactful open models, or comparable research output).\n\n - Deep command of modern deep learning: generative models, architectures, optimization, and scaling.\n\n - You drive a research agenda independently, from idea to experiment to result.\n\n - High-agency, in person, and comfortable with the ambiguity of frontier research.\n\nBonus points\n\n - Range across subfields — a strong researcher who picks up new domains fast, or meaningful time in an ML-for-something domain (robotics, biology, physics).\n\n - Widely-used open-source models or research artifacts.\n\n - Familiarity with the protein-ML landscape.\n\n - Interest in biology, protein design, and AI for science.\n\nLogistics\n\nFull-time, onsite in San Francisco.\n\nEquity: 0.05-0.5%.","compensation":{"compensationTierSummary":"$150K – $380K • We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","scrapeableCompensationSalarySummary":"$150K - $380K","compensationTiers":[{"id":"3c311f6f-81ca-4d50-8294-59697abf4732","tierSummary":"$150K – $380K • We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","title":null,"additionalInformation":"We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","components":[{"id":"e2f9d424-f584-40a3-a821-629ec13762fd","summary":"$150K – $380K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":380000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":380000}]}},{"id":"b4c2507f-fbcb-4a41-b8a3-5a6bf2e86b44","title":"Member of Technical Staff (Research Engineer)","department":"Technical Staff","team":"Technical Staff","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-07T19:56:59.348+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/anthrogen/b4c2507f-fbcb-4a41-b8a3-5a6bf2e86b44","applyUrl":"https://jobs.ashbyhq.com/anthrogen/b4c2507f-fbcb-4a41-b8a3-5a6bf2e86b44/application","descriptionHtml":"About Anthrogen
Anthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines — and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.
The role
We're looking for exceptional engineers excited about frontier AI, especially for the sciences — irrespective of bio background. You'll build and scale the systems behind our models: distributed training, data infrastructure, and high-throughput inference, owning hard problems end to end. Biology is the domain, but this is a frontier systems job first.
What you'll do
· Build and scale distributed training, GPU optimization, and high-throughput data pipelines.
· Own inference and serving systems that run at scale.
· Work shoulder-to-shoulder with researchers, turning ideas into robust infrastructure.
· Take hard, ambiguous problems from zero to production and own them end to end.
Who you are
· You can write exceptional, production-grade code (strong Python plus a systems language), demonstrable through shipped systems, open source, or competition results.
· Hands-on with large-scale ML systems: distributed training, GPU optimization, high-throughput data pipelines, or inference and serving at scale.
· High-agency, in person, and willing to do whatever the problem needs.
Bonus points
· A track record of shipping research infrastructure or working closely with researchers.
· An AI-native workflow — you get real leverage from AI coding tools.
· Competitive programming or olympiad background (IOI, ICPC, Putnam, and the like).
· Meaningful open-source contributions to ML infrastructure (PyTorch, JAX, CUDA).
· Genuine interest in biology and AI for science.
Logistics
Full-time, onsite in San Francisco.
Equity: 0.05-0.5%.
","descriptionPlain":"About Anthrogen\n\nAnthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines — and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.\n\nThe role\n\nWe're looking for exceptional engineers excited about frontier AI, especially for the sciences — irrespective of bio background. You'll build and scale the systems behind our models: distributed training, data infrastructure, and high-throughput inference, owning hard problems end to end. Biology is the domain, but this is a frontier systems job first.\n\nWhat you'll do\n\n· Build and scale distributed training, GPU optimization, and high-throughput data pipelines.\n\n· Own inference and serving systems that run at scale.\n\n· Work shoulder-to-shoulder with researchers, turning ideas into robust infrastructure.\n\n· Take hard, ambiguous problems from zero to production and own them end to end.\n\nWho you are\n\n· You can write exceptional, production-grade code (strong Python plus a systems language), demonstrable through shipped systems, open source, or competition results.\n\n· Hands-on with large-scale ML systems: distributed training, GPU optimization, high-throughput data pipelines, or inference and serving at scale.\n\n· High-agency, in person, and willing to do whatever the problem needs.\n\nBonus points\n\n· A track record of shipping research infrastructure or working closely with researchers.\n\n· An AI-native workflow — you get real leverage from AI coding tools.\n\n· Competitive programming or olympiad background (IOI, ICPC, Putnam, and the like).\n\n· Meaningful open-source contributions to ML infrastructure (PyTorch, JAX, CUDA).\n\n· Genuine interest in biology and AI for science.\n\nLogistics\n\nFull-time, onsite in San Francisco.\n\nEquity: 0.05-0.5%.","compensation":{"compensationTierSummary":"$150K – $380K • We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","scrapeableCompensationSalarySummary":"$150K - $380K","compensationTiers":[{"id":"a3629053-a070-4b4d-a185-b292941874a0","tierSummary":"$150K – $380K • We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","title":null,"additionalInformation":"We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","components":[{"id":"40977ee0-3f43-4c8f-9506-eb585e5bf6af","summary":"$150K – $380K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":380000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":380000}]}},{"id":"3fdf35c5-a0f8-433d-b6b2-d505138cb3f9","title":"Member of Platform Science (Research Scientist)","department":"Platform","team":"Platform","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-13T20:08:51.518+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/anthrogen/3fdf35c5-a0f8-433d-b6b2-d505138cb3f9","applyUrl":"https://jobs.ashbyhq.com/anthrogen/3fdf35c5-a0f8-433d-b6b2-d505138cb3f9/application","descriptionHtml":"About Anthrogen
Anthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.
The role
We want experimental scientists with strong biological intuition and the ability to turn an uncertain question into a decisive experiment. You'll own research on how our designed proteins and assemblies behave: how they function, how they interact, and why they fail. That means developing the assays as well as choosing what to measure, and following a result far enough to understand it.
Platform Science is not a queue of validation requests from the modeling team. You'll help decide which biological problems we tackle and what evidence would constitute progress. We care about research taste and experimental depth, not whether your previous work fits a particular modality.
What you'll do
Drive experimental research from the initial question through assay design, execution, analysis, and the next design decision.
Build quantitative biochemical and functional assays for designed proteins and their assemblies, including experiments in relevant cellular contexts.
Distinguish real biological activity from assay artifacts through appropriate controls and independent measurements.
Work closely with ML researchers to turn successes and failures into useful constraints for the next generation of designs.
Develop methods that remain reliable across constructs, targets, and repeated experiments, and help colleagues use them well.
Who you are
You have a track record of original experimental research and can explain what you personally figured out. That might be a strong paper, a difficult discovery program, or a method other scientists rely on.
You have deep hands-on expertise in protein biochemistry, molecular biology, cell biology, or a closely related field, and the fundamentals to work beyond your specialty.
You can build and troubleshoot an assay, reason quantitatively about its limitations, and recognize when a clean-looking result is misleading.
You drive a research direction independently while staying close to the bench. You document your work well enough that someone else can reproduce it.
You are curious, high-agency, and willing to change your mind when the experiment disagrees with you.
Bonus points
Experience characterizing engineered proteins or complex protein systems.
Experience investigating protein function and mechanism in cellular systems.
Experience connecting structural or biophysical measurements to function.
Python or R for analysis, or experience with high-throughput experimentation and lab automation.
Logistics
Full-time, onsite in San Francisco.
Equity: 0.05-0.5%.
","descriptionPlain":"About Anthrogen\n\nAnthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.\n\nThe role\n\nWe want experimental scientists with strong biological intuition and the ability to turn an uncertain question into a decisive experiment. You'll own research on how our designed proteins and assemblies behave: how they function, how they interact, and why they fail. That means developing the assays as well as choosing what to measure, and following a result far enough to understand it.\n\nPlatform Science is not a queue of validation requests from the modeling team. You'll help decide which biological problems we tackle and what evidence would constitute progress. We care about research taste and experimental depth, not whether your previous work fits a particular modality.\n\nWhat you'll do\n\n - Drive experimental research from the initial question through assay design, execution, analysis, and the next design decision.\n\n - Build quantitative biochemical and functional assays for designed proteins and their assemblies, including experiments in relevant cellular contexts.\n\n - Distinguish real biological activity from assay artifacts through appropriate controls and independent measurements.\n\n - Work closely with ML researchers to turn successes and failures into useful constraints for the next generation of designs.\n\n - Develop methods that remain reliable across constructs, targets, and repeated experiments, and help colleagues use them well.\n\nWho you are\n\n - You have a track record of original experimental research and can explain what you personally figured out. That might be a strong paper, a difficult discovery program, or a method other scientists rely on.\n\n - You have deep hands-on expertise in protein biochemistry, molecular biology, cell biology, or a closely related field, and the fundamentals to work beyond your specialty.\n\n - You can build and troubleshoot an assay, reason quantitatively about its limitations, and recognize when a clean-looking result is misleading.\n\n - You drive a research direction independently while staying close to the bench. You document your work well enough that someone else can reproduce it.\n\n - You are curious, high-agency, and willing to change your mind when the experiment disagrees with you.\n\nBonus points\n\n - Experience characterizing engineered proteins or complex protein systems.\n\n - Experience investigating protein function and mechanism in cellular systems.\n\n - Experience connecting structural or biophysical measurements to function.\n\n - Python or R for analysis, or experience with high-throughput experimentation and lab automation.\n\nLogistics\n\nFull-time, onsite in San Francisco.\n\nEquity: 0.05-0.5%.","compensation":{"compensationTierSummary":"$150K – $380K • We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","scrapeableCompensationSalarySummary":"$150K - $380K","compensationTiers":[{"id":"32314cd6-20bb-43d0-8c25-393eb502f2c2","tierSummary":"$150K – $380K • We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","title":null,"additionalInformation":"We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","components":[{"id":"4a368f55-204d-482a-a367-146c0b8e655b","summary":"$150K – $380K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":380000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":380000}]}},{"id":"b9c7b1ad-5296-48ab-8b1c-b46482ca577f","title":"Member of Platform Science (Research Scientist, In-vivo)","department":"Platform","team":"Platform","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-13T20:08:53.795+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/anthrogen/b9c7b1ad-5296-48ab-8b1c-b46482ca577f","applyUrl":"https://jobs.ashbyhq.com/anthrogen/b9c7b1ad-5296-48ab-8b1c-b46482ca577f/application","descriptionHtml":"About Anthrogen
Anthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.
The role
A molecule can work in a dish and fail in a living system for an entirely different reason. It may not reach the tissue, persist long enough, or act in the biological context we expected. We want a scientist who can distinguish those explanations and design the experiment that tells us what to do next.
You'll own in-vivo research for our designed biological systems, from selecting appropriate models to interpreting exposure, activity, and tolerability together. This is a hands-on scientific role, not just study coordination. You'll work with the rest of Platform and our ML researchers to make the results useful for design, including when a study does not support the original hypothesis.
What you'll do
Define the question each study needs to answer, choose an appropriate model, and establish endpoints and an analysis plan before execution.
Design and execute studies with internal colleagues and external partners as appropriate, maintaining ownership of experimental quality and interpretation.
Connect exposure and tissue distribution to target engagement and functional outcomes, rather than evaluating efficacy in isolation.
Investigate differences between in-vitro and in-vivo behavior and translate them into testable changes to the molecule or experimental approach.
Build reproducible workflows for sample collection, downstream measurements, and analysis, in coordination with the scientists running those assays.
Plan and conduct work within approved animal-care protocols, with appropriate oversight, humane endpoints, and careful use of animals.
Who you are
You have independently driven rigorous in-vivo research and can defend the model selection, controls, analysis, and conclusions, not just describe the procedures you performed.
You bring deep hands-on experience in a relevant model system and understand both its practical limitations and what it can tell us about human biology.
You can reason about pharmacokinetics, pharmacodynamics, and biological mechanism together, and distinguish insufficient exposure from lack of activity.
You take experimental design seriously: randomization, blinding where feasible, justified sample sizes, and explicit handling of variability.
You combine scientific independence with meticulous execution, documentation, and a strong commitment to animal welfare. Moving quickly does not mean relaxing those standards.
Bonus points
Experience evaluating engineered proteins or protein-based systems in vivo.
Depth in oncology, immunology, or another disease area relevant to engineered biological interventions.
Experience developing translational biomarkers or connecting tissue-level measurements to a proposed mechanism of action.
Strong quantitative analysis skills and experience working productively with external research partners.
Logistics
Full-time, onsite in San Francisco.
Equity: 0.05-0.5%.
","descriptionPlain":"About Anthrogen\n\nAnthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.\n\nThe role\n\nA molecule can work in a dish and fail in a living system for an entirely different reason. It may not reach the tissue, persist long enough, or act in the biological context we expected. We want a scientist who can distinguish those explanations and design the experiment that tells us what to do next.\n\nYou'll own in-vivo research for our designed biological systems, from selecting appropriate models to interpreting exposure, activity, and tolerability together. This is a hands-on scientific role, not just study coordination. You'll work with the rest of Platform and our ML researchers to make the results useful for design, including when a study does not support the original hypothesis.\n\nWhat you'll do\n\n - Define the question each study needs to answer, choose an appropriate model, and establish endpoints and an analysis plan before execution.\n\n - Design and execute studies with internal colleagues and external partners as appropriate, maintaining ownership of experimental quality and interpretation.\n\n - Connect exposure and tissue distribution to target engagement and functional outcomes, rather than evaluating efficacy in isolation.\n\n - Investigate differences between in-vitro and in-vivo behavior and translate them into testable changes to the molecule or experimental approach.\n\n - Build reproducible workflows for sample collection, downstream measurements, and analysis, in coordination with the scientists running those assays.\n\n - Plan and conduct work within approved animal-care protocols, with appropriate oversight, humane endpoints, and careful use of animals.\n\nWho you are\n\n - You have independently driven rigorous in-vivo research and can defend the model selection, controls, analysis, and conclusions, not just describe the procedures you performed.\n\n - You bring deep hands-on experience in a relevant model system and understand both its practical limitations and what it can tell us about human biology.\n\n - You can reason about pharmacokinetics, pharmacodynamics, and biological mechanism together, and distinguish insufficient exposure from lack of activity.\n\n - You take experimental design seriously: randomization, blinding where feasible, justified sample sizes, and explicit handling of variability.\n\n - You combine scientific independence with meticulous execution, documentation, and a strong commitment to animal welfare. Moving quickly does not mean relaxing those standards.\n\nBonus points\n\n - Experience evaluating engineered proteins or protein-based systems in vivo.\n\n - Depth in oncology, immunology, or another disease area relevant to engineered biological interventions.\n\n - Experience developing translational biomarkers or connecting tissue-level measurements to a proposed mechanism of action.\n\n - Strong quantitative analysis skills and experience working productively with external research partners.\n\nLogistics\n\nFull-time, onsite in San Francisco.\n\nEquity: 0.05-0.5%.","compensation":{"compensationTierSummary":"$150K – $380K • We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","scrapeableCompensationSalarySummary":"$150K - $380K","compensationTiers":[{"id":"e23bc990-513f-4061-aae1-93ea01d8ce6d","tierSummary":"$150K – $380K • We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","title":null,"additionalInformation":"We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","components":[{"id":"8d99fe89-8b28-44cd-a7be-b05147a03744","summary":"$150K – $380K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":380000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":380000}]}},{"id":"810c297d-d1df-4611-a509-14095969d26f","title":"Research Associate (Biology)","department":"Platform","team":"Platform","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-13T20:08:56.115+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/anthrogen/810c297d-d1df-4611-a509-14095969d26f","applyUrl":"https://jobs.ashbyhq.com/anthrogen/810c297d-d1df-4611-a509-14095969d26f/application","descriptionHtml":"About Anthrogen
Anthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.
The role
Our models can propose a new sequence quickly. Learning whether it works still depends on someone making the material correctly, running a careful experiment, and noticing when something is off. We want a research associate whose bench work we can trust and who wants to understand the science behind it.
You'll help build and characterize designed proteins, taking ownership of experimental workflows from construct preparation through sample quality control and assay execution. You'll work closely with Platform scientists, learn new methods, and improve the experiments you run. Following a protocol matters. Knowing when the protocol is no longer answering the question matters too.
What you'll do
Execute molecular biology workflows, including cloning, PCR, transformations, and construct verification, with strong sample tracking and reproducibility.
Express and purify proteins, assess material quality, and prepare samples for binding and functional experiments.
Run established assays with appropriate controls and work with scientists to develop and troubleshoot new ones.
Keep clear experimental records, perform initial data analysis, and flag unexpected results or quality problems early.
Improve protocols and day-to-day lab workflows so that increased throughput does not come at the expense of trustworthy data.
Who you are
You have excellent hands-on molecular biology or protein biochemistry skills, demonstrated through substantial bench work. A BS/MS in a relevant field or equivalent practical experience is a useful foundation.
You can independently run a workflow you know, recognize common failure modes, and troubleshoot systematically rather than simply repeat it.
You are careful with samples, controls, calculations, and records. You can explain how you know an experiment worked.
You learn quickly, communicate clearly, and ask for help before an avoidable error becomes a week's worth of unusable work.
You want responsibility for the quality of the science, not just completion of a task list.
Bonus points
Mammalian cell culture, transfection, or cell-based assays.
Experience with antibody production, protein characterization, or quantitative binding measurements.
Lab automation, liquid handlers, or high-throughput workflows.
Python or R for analyzing and organizing experimental data.
Logistics
Full-time, onsite in San Francisco.
Equity: 0.01-0.1%.
","descriptionPlain":"About Anthrogen\n\nAnthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.\n\nThe role\n\nOur models can propose a new sequence quickly. Learning whether it works still depends on someone making the material correctly, running a careful experiment, and noticing when something is off. We want a research associate whose bench work we can trust and who wants to understand the science behind it.\n\nYou'll help build and characterize designed proteins, taking ownership of experimental workflows from construct preparation through sample quality control and assay execution. You'll work closely with Platform scientists, learn new methods, and improve the experiments you run. Following a protocol matters. Knowing when the protocol is no longer answering the question matters too.\n\nWhat you'll do\n\n - Execute molecular biology workflows, including cloning, PCR, transformations, and construct verification, with strong sample tracking and reproducibility.\n\n - Express and purify proteins, assess material quality, and prepare samples for binding and functional experiments.\n\n - Run established assays with appropriate controls and work with scientists to develop and troubleshoot new ones.\n\n - Keep clear experimental records, perform initial data analysis, and flag unexpected results or quality problems early.\n\n - Improve protocols and day-to-day lab workflows so that increased throughput does not come at the expense of trustworthy data.\n\nWho you are\n\n - You have excellent hands-on molecular biology or protein biochemistry skills, demonstrated through substantial bench work. A BS/MS in a relevant field or equivalent practical experience is a useful foundation.\n\n - You can independently run a workflow you know, recognize common failure modes, and troubleshoot systematically rather than simply repeat it.\n\n - You are careful with samples, controls, calculations, and records. You can explain how you know an experiment worked.\n\n - You learn quickly, communicate clearly, and ask for help before an avoidable error becomes a week's worth of unusable work.\n\n - You want responsibility for the quality of the science, not just completion of a task list.\n\nBonus points\n\n - Mammalian cell culture, transfection, or cell-based assays.\n\n - Experience with antibody production, protein characterization, or quantitative binding measurements.\n\n - Lab automation, liquid handlers, or high-throughput workflows.\n\n - Python or R for analyzing and organizing experimental data.\n\nLogistics\n\nFull-time, onsite in San Francisco.\n\nEquity: 0.01-0.1%.","compensation":{"compensationTierSummary":"$100K – $150K • We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","scrapeableCompensationSalarySummary":"$100K - $150K","compensationTiers":[{"id":"b3f444a7-2fdf-4ccc-9c6a-8357335970e5","tierSummary":"$100K – $150K • We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","title":null,"additionalInformation":"We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","components":[{"id":"48de0237-0632-4abf-b379-e35983890c62","summary":"$100K – $150K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":100000,"maxValue":150000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":100000,"maxValue":150000}]}},{"id":"2628e8f6-3cc2-4650-9359-36c486035ba7","title":"Founding Operator","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-13T20:36:44.795+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/anthrogen/2628e8f6-3cc2-4650-9359-36c486035ba7","applyUrl":"https://jobs.ashbyhq.com/anthrogen/2628e8f6-3cc2-4650-9359-36c486035ba7/application","descriptionHtml":"About Anthrogen
Anthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.
The role
We want someone who intends to build a company and wants to help build this one first. You've spent at least a year or two in startup operations, seen what works and what doesn't, and are ready to own considerably more.
You'll work directly with the founders to make Anthrogen run. The work will change as the company grows: getting a critical hire across the line, working with external partners, building an internal tool, or fixing a process that is costing the team time. You won't get a complete task list. A large part of the job is figuring out what belongs on it, what can wait, and what we shouldn't be doing at all.
This requires learning what our scientists and engineers actually do. You don't need to arrive knowing protein design, but you should want to understand the research well enough to make good decisions about the company supporting it. You'll also help tell Anthrogen's story to the wider public, working with the founders and researchers to explain what we're building and why it matters.
What you'll do
Identify the operational problems that most constrain the company, decide which to tackle first, and own them through resolution.
Take on work across recruiting, onboarding, purchasing, external partners, facilities, and internal systems as priorities change, bringing in specialists when needed.
Build small tools and automations that remove repetitive work, and check that they actually work for the people using them.
Give the founders clear recommendations: what matters, what the options are, what you would do, and why.
Help shape our public communications, making complex research clear and compelling without losing the precision that makes it worth sharing.
Help shape how the company works through concrete decisions about hiring, communication, accountability, and where we spend our time.
Who you are
You have at least 1-2 years of operations experience at a startup and can point to consequential work you personally owned, not just projects you participated in.
You prioritize well under extreme uncertainty. You know when to get more information, when to make a reversible decision, and when a mistake would be expensive enough to slow down.
You have strong, considered opinions about how successful startups are built and what makes a culture effective. You can explain where those opinions came from and change them when the evidence changes.
You can code well enough to build useful tools and automate a workflow. AI-assisted coding is completely fine; you still need to understand what you've built, test it, and know when to ask an engineer for help.
You have demonstrated that you can learn and work in technical settings, whether at a technical company, through your studies, or by building something yourself. No particular degree or industry background is required.
You are ambitious, resourceful, and willing to do unglamorous work. You want responsibility for making the company work, not just proximity to its founders.
What comes next
You may want to start your own company in a couple of years. That's okay. We're looking for real ownership while you're here, not a promise to stay forever. If you go on to build something of your own, we'd be excited to be your day-one supporters.
Logistics
Full-time, onsite in San Francisco.
Compensation
Annual base salary: $100,000-$200,000.
Equity: 0.1-0.75%.
","descriptionPlain":"About Anthrogen\n\nAnthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.\n\nThe role\n\nWe want someone who intends to build a company and wants to help build this one first. You've spent at least a year or two in startup operations, seen what works and what doesn't, and are ready to own considerably more.\n\nYou'll work directly with the founders to make Anthrogen run. The work will change as the company grows: getting a critical hire across the line, working with external partners, building an internal tool, or fixing a process that is costing the team time. You won't get a complete task list. A large part of the job is figuring out what belongs on it, what can wait, and what we shouldn't be doing at all.\n\nThis requires learning what our scientists and engineers actually do. You don't need to arrive knowing protein design, but you should want to understand the research well enough to make good decisions about the company supporting it. You'll also help tell Anthrogen's story to the wider public, working with the founders and researchers to explain what we're building and why it matters.\n\nWhat you'll do\n\n - Identify the operational problems that most constrain the company, decide which to tackle first, and own them through resolution.\n\n - Take on work across recruiting, onboarding, purchasing, external partners, facilities, and internal systems as priorities change, bringing in specialists when needed.\n\n - Build small tools and automations that remove repetitive work, and check that they actually work for the people using them.\n\n - Give the founders clear recommendations: what matters, what the options are, what you would do, and why.\n\n - Help shape our public communications, making complex research clear and compelling without losing the precision that makes it worth sharing.\n\n - Help shape how the company works through concrete decisions about hiring, communication, accountability, and where we spend our time.\n\nWho you are\n\n - You have at least 1-2 years of operations experience at a startup and can point to consequential work you personally owned, not just projects you participated in.\n\n - You prioritize well under extreme uncertainty. You know when to get more information, when to make a reversible decision, and when a mistake would be expensive enough to slow down.\n\n - You have strong, considered opinions about how successful startups are built and what makes a culture effective. You can explain where those opinions came from and change them when the evidence changes.\n\n - You can code well enough to build useful tools and automate a workflow. AI-assisted coding is completely fine; you still need to understand what you've built, test it, and know when to ask an engineer for help.\n\n - You have demonstrated that you can learn and work in technical settings, whether at a technical company, through your studies, or by building something yourself. No particular degree or industry background is required.\n\n - You are ambitious, resourceful, and willing to do unglamorous work. You want responsibility for making the company work, not just proximity to its founders.\n\nWhat comes next\n\nYou may want to start your own company in a couple of years. That's okay. We're looking for real ownership while you're here, not a promise to stay forever. If you go on to build something of your own, we'd be excited to be your day-one supporters.\n\nLogistics\n\nFull-time, onsite in San Francisco.\n\nCompensation\n\nAnnual base salary: $100,000-$200,000.\n\nEquity: 0.1-0.75%.","compensation":{"compensationTierSummary":"$100K – $200K • We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","scrapeableCompensationSalarySummary":"$100K - $200K","compensationTiers":[{"id":"8e86b077-e8ce-4126-925a-8d34dfbebac7","tierSummary":"$100K – $200K • We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","title":null,"additionalInformation":"We offer a rent stipend if you live near the office, full healthcare/dental/401k benefits, and will assist in relocation to San Francisco if necessary.","components":[{"id":"bba9c93c-0013-421a-b6b0-7cc5184594a0","summary":"$100K – $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":100000,"maxValue":200000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":100000,"maxValue":200000}]}},{"id":"fdc2e642-526b-4779-a067-a83bcdb95033","title":"About Anthrogen
Anthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.
The role
We hire for talent before titles. If you are exceptional and none of our open roles quite fit, tell us what we're missing.
You might have a research direction we should pursue, a capability we haven't built, or an unusual combination of skills that would change what we can do. You don't need to arrive with a complete job description. You do need to give us a concrete reason to think we should work together.
We're looking for the same things we look for in every hire: exceptional work, independent judgment, curiosity beyond a specialty, and a serious interest in what Anthrogen is trying to build. The absence of a matching title shouldn't keep us from meeting someone we ought to know.
What we'd like to hear
What would you work on here, and why does it matter for Anthrogen?
What have you built, discovered, or made happen that shows what you're capable of? Tell us what you personally contributed and include work we can inspect where possible.
What do you understand unusually well, and how might that help us do something we couldn't otherwise do?
An interesting, specific answer is more useful than a polished general cover letter. Show us the work and the thinking behind it.
Logistics
Full-time, onsite in San Francisco.
","descriptionPlain":"About Anthrogen\n\nAnthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.\n\nThe role\n\nWe hire for talent before titles. If you are exceptional and none of our open roles quite fit, tell us what we're missing.\n\nYou might have a research direction we should pursue, a capability we haven't built, or an unusual combination of skills that would change what we can do. You don't need to arrive with a complete job description. You do need to give us a concrete reason to think we should work together.\n\nWe're looking for the same things we look for in every hire: exceptional work, independent judgment, curiosity beyond a specialty, and a serious interest in what Anthrogen is trying to build. The absence of a matching title shouldn't keep us from meeting someone we ought to know.\n\nWhat we'd like to hear\n\n - What would you work on here, and why does it matter for Anthrogen?\n\n - What have you built, discovered, or made happen that shows what you're capable of? Tell us what you personally contributed and include work we can inspect where possible.\n\n - What do you understand unusually well, and how might that help us do something we couldn't otherwise do?\n\nAn interesting, specific answer is more useful than a polished general cover letter. Show us the work and the thinking behind it.\n\nLogistics\n\nFull-time, onsite in San Francisco.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}}],"apiVersion":"1"}