Mid Level Research Biologist Jobs
Mid level research biologist jobs go to scientists ready to own experimental projects, mentor junior staff, and interpret findings with limited oversight. Roles are hiring across Biotechnology & Pharmaceuticals, Consulting & Professional Services, and Technology & Software, with a mix of on-site, remote, and hybrid settings, and employers like LatchBio, ICF, and Collabera competing for research biologists at this level now.
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Showing 5 of 6+ Mid Level Research Biologist jobs
INTRODUCTION
Latch builds rigorous scientific benchmarks (benchmarks.bio) for AI agents across biology. We work with frontier labs and pharma to measure whether agents can handle real biological workflows: the messy, multi-layer reasoning that matters in the field. We’re seeking an AI Biologist - Genetic Medicines to join our team working at the frontier of what artificial intelligence can achieve in gene therapy, gene editing, and RNA therapeutics development.
ABOUT THE ROLE
You will contribute to our technical approach for evaluating agent performance at reasoning across the genetic medicines pipeline – gene therapy, gene editing, and RNA therapeutics from target validation and drug discovery to clinical development. You will work as part of a team of software engineers and scientists building datasets and AI agent tasks across the end-to-end genetic medicines pipeline, including:
- Designing realistic program case studies spanning target validation, drug design and screening, chemistry optimization, candidate nomination, and IND-enabling studies across genetic medicine modalities
- Evaluating PK/PD, immunogenicity, and GLP toxicology findings across modalities and development stages
- Reconstructing program go/no-go decisions from multi-source data
- Reviewing and stress-testing agent outputs for scientific soundness, catching reasoning that is textbook-correct but not defensible in a program review
- Calibrating AI agent confidence on preclinical data with incomplete or conflicting signals, rather than forcing a binary call
REQUIREMENTS
- Advanced degree (MS/PhD/PharmD) in molecular biology, genetics, gene therapy, or a related biomedical field, or equivalent industry experience
- 3+ years of hands-on experience in gene therapy, gene editing, or RNA therapeutics (ASO/siRNA/mRNA) discovery or development
- Direct experience with drug design, drug screening, delivery optimization, or IND-enabling study design in at least one genetic medicine modality
- Experience interpreting on-/off-target editing data, biodistribution, immunogenicity, and GLP toxicology to inform dose selection and risk assessment
- Familiarity with IND-enabling regulatory requirements and the nonclinical data package expected by FDA/EMA is a plus
- Experience evaluating potency, specificity, and developability trade-offs across vector, construct, or oligonucleotide candidates
- Strong scientific writing skills, able to produce clear, evidence-supported rationale for a drug development decision
- Proficiency in AI agent use, with the judgment to identify where model reasoning is technically correct but pharmacologically or practically unsound
- Comfort operating in uncertainty, and proactively flagging gaps in data or instructions
- Works with high agency and initiative
CULTURE @ LATCH
We practice radical transparency: you’ll know how the company is doing, what’s working, and what isn’t. It’s always us against the problem, never each other. We’re opinionated but respectful of each other’s time, and we think through possible solutions before bringing a problem to anyone. We use AI constantly, so we reward original expert judgment, not AI output passed off as your own. You’ll start on the bench that fits your expertise and can move across teams as you build a track record.
Outside of work: company outings most months, team off-sites, and a community that does cycling, soccer, figure skating, boxing, running, martial arts, music, books, and game nights.
COMPENSATION & LOGISTICS
Pay: $140K–$180K OTE (on-target earnings), with no ceiling.
- Your pay is your OTE times your weekly quota attainment. Hit quota, earn your OTE; double it, earn double. Example: $150K OTE at double quota = $300K.
- Your first 4 weeks (ramp) are paid at full OTE while we train you.
- You’re paid full OTE whenever quota can’t fairly apply: when a new project is starting, the platform goes down, or we pull you onto a special project.
In the US: full-time W-2
- Guaranteed base set by your state, paid every paycheck no matter what
- Health, dental, vision: 100% covered for you, 50% for dependents
- 401(k) (no match)
- PTO: 12 days to start, more as you’re promoted
Outside the US: contractor
- Paid on performance, with a monthly advance of 60% of OTE that’s never clawed back. US benefits don’t apply.
Growth: two tracks, based on output, not tenure.
- Individual contributor: six levels, so up to five promotions, with OTE rising at each one.
- Management: after your first promotion, you can move into managing a pod if that’s what you want.
LOCATION
fully remote is fine; onsite is preferred, at our Mission Bay waterfront office in SF with catered lunch and dinner and unlimited snacks.
WORK AUTHORIZATION
we sponsor H-1B (new and transfers), O-1, and TN, and support STEM OPT.
INTERVIEW PROCESS
- Apply. If your profile matches, we’ll send you a take-home project.
- Take-home project (HackerRank). We review it as soon as it arrives.
- Technical interview with a Member of Technical Staff (pod lead), scheduled right after your project review.
- Culture interview with our C-suite.
- Offer.
- Background check, once you accept.
COMPENSATION RANGE
$140K - $180K
INTRODUCTION
Latch builds rigorous scientific benchmarks (benchmarks.bio) for AI agents across biology. We work with frontier labs and pharma to measure whether agents can handle real biological workflows: the messy, multi-layer reasoning that matters in the field. We’re seeking an AI Biologist - Genetic Medicines to join our team working at the frontier of what artificial intelligence can achieve in gene therapy, gene editing, and RNA therapeutics development.
ABOUT THE ROLE
You will contribute to our technical approach for evaluating agent performance at reasoning across the genetic medicines pipeline – gene therapy, gene editing, and RNA therapeutics from target validation and drug discovery to clinical development. You will work as part of a team of software engineers and scientists building datasets and AI agent tasks across the end-to-end genetic medicines pipeline, including:
- Designing realistic program case studies spanning target validation, drug design and screening, chemistry optimization, candidate nomination, and IND-enabling studies across genetic medicine modalities
- Evaluating PK/PD, immunogenicity, and GLP toxicology findings across modalities and development stages
- Reconstructing program go/no-go decisions from multi-source data
- Reviewing and stress-testing agent outputs for scientific soundness, catching reasoning that is textbook-correct but not defensible in a program review
- Calibrating AI agent confidence on preclinical data with incomplete or conflicting signals, rather than forcing a binary call
REQUIREMENTS
- Advanced degree (MS/PhD/PharmD) in molecular biology, genetics, gene therapy, or a related biomedical field, or equivalent industry experience
- 3+ years of hands-on experience in gene therapy, gene editing, or RNA therapeutics (ASO/siRNA/mRNA) discovery or development
- Direct experience with drug design, drug screening, delivery optimization, or IND-enabling study design in at least one genetic medicine modality
- Experience interpreting on-/off-target editing data, biodistribution, immunogenicity, and GLP toxicology to inform dose selection and risk assessment
- Familiarity with IND-enabling regulatory requirements and the nonclinical data package expected by FDA/EMA is a plus
- Experience evaluating potency, specificity, and developability trade-offs across vector, construct, or oligonucleotide candidates
- Strong scientific writing skills, able to produce clear, evidence-supported rationale for a drug development decision
- Proficiency in AI agent use, with the judgment to identify where model reasoning is technically correct but pharmacologically or practically unsound
- Comfort operating in uncertainty, and proactively flagging gaps in data or instructions
- Works with high agency and initiative
CULTURE @ LATCH
We practice radical transparency: you’ll know how the company is doing, what’s working, and what isn’t. It’s always us against the problem, never each other. We’re opinionated but respectful of each other’s time, and we think through possible solutions before bringing a problem to anyone. We use AI constantly, so we reward original expert judgment, not AI output passed off as your own. You’ll start on the bench that fits your expertise and can move across teams as you build a track record.
Outside of work: company outings most months, team off-sites, and a community that does cycling, soccer, figure skating, boxing, running, martial arts, music, books, and game nights.
COMPENSATION & LOGISTICS
Pay: $140K–$180K OTE (on-target earnings), with no ceiling.
- Your pay is your OTE times your weekly quota attainment. Hit quota, earn your OTE; double it, earn double. Example: $150K OTE at double quota = $300K.
- Your first 4 weeks (ramp) are paid at full OTE while we train you.
- You’re paid full OTE whenever quota can’t fairly apply: when a new project is starting, the platform goes down, or we pull you onto a special project.
In the US: full-time W-2
- Guaranteed base set by your state, paid every paycheck no matter what
- Health, dental, vision: 100% covered for you, 50% for dependents
- 401(k) (no match)
- PTO: 12 days to start, more as you’re promoted
Outside the US: contractor
- Paid on performance, with a monthly advance of 60% of OTE that’s never clawed back. US benefits don’t apply.
Growth: two tracks, based on output, not tenure.
- Individual contributor: six levels, so up to five promotions, with OTE rising at each one.
- Management: after your first promotion, you can move into managing a pod if that’s what you want.
LOCATION
fully remote is fine; onsite is preferred, at our Mission Bay waterfront office in SF with catered lunch and dinner and unlimited snacks.
WORK AUTHORIZATION
we sponsor H-1B (new and transfers), O-1, and TN, and support STEM OPT.
INTERVIEW PROCESS
- Apply. If your profile matches, we’ll send you a take-home project.
- Take-home project (HackerRank). We review it as soon as it arrives.
- Technical interview with a Member of Technical Staff (pod lead), scheduled right after your project review.
- Culture interview with our C-suite.
- Offer.
- Background check, once you accept.
COMPENSATION RANGE
$140K - $180K
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Mid Level Research Biologist Jobs: Frequently Asked Questions
How do I get a mid level research biologist job?
Position yourself by highlighting research projects you led end to end, not just contributed to. Emphasize publications, presentations, or data outputs you owned, and name the specific techniques and instruments you're proficient with. Hiring managers at this level want to see that you can design experiments, troubleshoot independently, and communicate results clearly, so tailor your resume and cover letter to show that ownership directly.
Which companies hire mid level research biologists?
Companies hiring mid level research biologists right now include LatchBio, ICF, and Collabera, based on current listings on Migrate Mate as of November 2026. At this experience level, hiring comes from a wide range of employers, including pharmaceutical and biotech companies, academic medical centers, government research agencies, and contract research organizations.
Are there remote mid level research biologist jobs?
Yes, though options depend on the type of work involved. About 40% of mid level research biologist openings are remote or hybrid as of November 2026, and these tend to cluster in roles focused on data analysis, bioinformatics, scientific writing, or regulatory work rather than wet-lab experimentation, which typically requires on-site access to equipment and facilities.
How do I move up to a mid level research biologist role?
Moving from entry level to mid level takes deliberate depth-building over your early years. Focus on gaining ownership of a defined research area, developing proficiency in specialized techniques, and generating measurable outcomes like publications, patents, or successful study completions. Seeking opportunities to mentor newer colleagues and lead sub-projects signals readiness for the increased independence that mid level roles expect.
Which industries hire the most mid level research biologists?
Mid Level research biologist roles concentrate in Biotechnology & Pharmaceuticals, Consulting & Professional Services, and Technology & Software, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they sustain active research pipelines, require scientists who can work with limited supervision, and need ongoing expertise in areas like molecular biology, cell culture, genomics, and experimental design.