Mid Level Molecular Biologist Jobs
Mid level molecular biologist jobs go to scientists ready to own experimental programs, guide junior researchers, and translate bench findings into decisions with limited oversight. Openings run predominantly on-site and hybrid 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 Molecular 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 Molecular Biologist Jobs: Frequently Asked Questions
How do I get a mid level molecular biologist job?
Position yourself around ownership, not just execution. Highlight experiments you designed independently, protocols you developed or refined, and results you interpreted and presented to stakeholders. Tailor your resume to show cross-functional collaboration and any mentorship of junior staff. Applications that demonstrate you can run a project from hypothesis to data package stand out at this level.
Which companies hire mid level molecular biologists?
Companies hiring mid level molecular biologists right now include LatchBio, ICF, and Collabera, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of large pharmaceutical and biotech firms running active R&D pipelines, contract research organizations, and diagnostics companies scaling their laboratory teams.
Are there remote mid level molecular biologist jobs?
Yes, though most molecular biology work remains bench-based. About 40% of mid level molecular biologist openings are remote or hybrid as of November 2026, and those roles tend to be in bioinformatics, scientific writing, regulatory affairs, or technical sales rather than hands-on laboratory research. Hybrid arrangements are more common at larger organizations with distributed teams.
How do I move up to a mid level molecular biologist role?
The move from entry level to mid level comes from building depth and demonstrated ownership over time. Focus on mastering a core set of techniques, then taking initiative on full experimental cycles rather than individual tasks. Documenting measurable outcomes, contributing to publications or patents, and showing you can troubleshoot independently and train others signals readiness for mid level responsibilities.
Which industries hire the most mid level molecular biologists?
Mid Level molecular 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 require scientists who can independently run translational research programs, support regulatory submissions, or advance product development pipelines with consistent, documented output.