Mid Level Staff Biologist Jobs
Mid level staff biologist jobs go to scientists ready to own study designs, lead field or lab work end to end, and mentor junior staff with limited day-to-day oversight. Openings run across Biotechnology & Pharmaceuticals, Consulting & Professional Services, and Technology & Software, with employers like LatchBio, ICF, and Collabera hiring at this level now.
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Showing 5 of 6+ Mid Level Staff 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 Staff Biologist Jobs: Frequently Asked Questions
How do I get a mid level staff biologist job?
Position yourself around ownership, not just participation. Highlight projects where you led the methodology, interpreted results independently, or coordinated across teams. Applications that show you can run a study from design to deliverable, troubleshoot in the field, and communicate findings to non-scientists stand out clearly at this level. Tailor your resume to the ecological or laboratory domain the employer works in.
Which companies hire mid level staff biologists?
Companies hiring mid level staff biologists right now include LatchBio, ICF, and Collabera, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from a broad mix of environmental consulting firms, government contractors, biotech companies, and conservation organizations that need biologists who can work independently on applied projects.
Are there remote mid level staff biologist jobs?
Yes, though most biology roles involve some on-site or field component. About 40% of mid level staff biologist openings are remote or hybrid as of November 2026, and these tend to cluster in data-heavy subspecialties such as bioinformatics, regulatory affairs, and environmental reporting. Pure fieldwork and lab-based positions remain predominantly on-site.
How do I move up to a mid level staff biologist role?
Moving from entry level to mid level requires building a record of independent contribution. Early-career biologists who take on progressively complex assignments, propose and lead discrete study components, and document measurable outcomes position themselves for the step up. Deepening a specialization, whether in a particular taxon, analytical method, or regulatory framework, also signals readiness for mid level scope and responsibility.
Which industries hire the most mid level staff biologists?
Mid Level staff 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 demand because they require biologists who can operate with real autonomy, whether conducting environmental impact assessments, managing lab workflows, or supporting compliance and conservation programs that move on tight regulatory timelines.