Remote Molecular Biologist Jobs
Remote Molecular Biologist jobs are open across the U.S. at remote-first firms, distributed biotech teams, and life sciences organizations hiring independent contributors who can design experiments, analyze data, and communicate findings asynchronously. Employers hiring remotely right now include LatchBio, Freenome, and Colgate-Palmolive. See the openings below and apply to the ones that match your experience.
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Showing 5 of 16+ Remote Molecular Biologist jobs
AI Biologist - Longevity
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 to join our Longevity team, pushing what AI can achieve in aging biology.
About the Role. You will be the scientific authority on ground truth, testing whether AI agents can reason like an expert aging biologist. Today’s agents struggle to separate biological age from chronological age, spot confounds that make aging signals look real, and judge which longevity claims hold up. Working with real published and public datasets, you’ll build the tasks behind our benchmarks, starting with aging biomarkers and the hallmarks of aging. Your judgment sets the standard agents are held to.
Build the task
Turn real aging research questions into tasks, and write gold-standard answers an expert would defend
Curate data across molecular and population scales: DNA methylation, transcriptomics, proteomics, single-cell, longitudinal cohorts and biobanks
Build tasks around aging clocks, biological age prediction, senescence, epigenetic drift, and mitochondrial dysfunction
Partner with software engineers to turn your judgment into workflows
Set the hard calls
Test whether agents catch cell-type composition, batch effects, and age imbalance between groups
Test whether agents know when findings in worms, mice, or cell models won’t translate to human aging
Adjudicate contested longevity claims: what the data support, what they don’t, and what would settle it
Judge the agent
Challenge reasoning that sounds right but wouldn’t survive peer review or a go/no-go decision
Pinpoint where agents fail, what an expert would do instead, and what evidence would change the call
Reward calibrated uncertainty over confident guesses
Requirements
Master’s or PhD in biology, bioinformatics, computational biology, or a related field
Research in aging biology, or in a field where aging is studied: cancer biology, epigenetics, immunology, metabolism, mitochondrial biology, neurodegeneration, or epidemiology
Working knowledge of aging: the hallmarks, how clocks are built, and biological vs. chronological age
Depth in at least one of:
Computational: machine learning or statistics on omics data
Experimental: hands-on experience generating omics or aging data (sequencing, model organisms, senescence or mitochondrial assays), so you know how experiments go wrong
You code your own analysis end to end in Python or R
Work you drove yourself (first-author paper, thesis, independent project) that you can defend in detail
A track record of catching errors in data that others missed
Daily use of AI coding tools, and the confidence to overrule an AI when the evidence demands it
Strongly preferred
Published research in aging, geroscience, or longevity
Experience building or validating aging clocks, or analyzing lifespan or healthspan data
Familiarity with UK Biobank, TCGA, GEO, Tabula Muris Senis, or the NIA Interventions Testing Program
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
AI Biologist - Longevity
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 to join our Longevity team, pushing what AI can achieve in aging biology.
About the Role. You will be the scientific authority on ground truth, testing whether AI agents can reason like an expert aging biologist. Today’s agents struggle to separate biological age from chronological age, spot confounds that make aging signals look real, and judge which longevity claims hold up. Working with real published and public datasets, you’ll build the tasks behind our benchmarks, starting with aging biomarkers and the hallmarks of aging. Your judgment sets the standard agents are held to.
Build the task
Turn real aging research questions into tasks, and write gold-standard answers an expert would defend
Curate data across molecular and population scales: DNA methylation, transcriptomics, proteomics, single-cell, longitudinal cohorts and biobanks
Build tasks around aging clocks, biological age prediction, senescence, epigenetic drift, and mitochondrial dysfunction
Partner with software engineers to turn your judgment into workflows
Set the hard calls
Test whether agents catch cell-type composition, batch effects, and age imbalance between groups
Test whether agents know when findings in worms, mice, or cell models won’t translate to human aging
Adjudicate contested longevity claims: what the data support, what they don’t, and what would settle it
Judge the agent
Challenge reasoning that sounds right but wouldn’t survive peer review or a go/no-go decision
Pinpoint where agents fail, what an expert would do instead, and what evidence would change the call
Reward calibrated uncertainty over confident guesses
Requirements
Master’s or PhD in biology, bioinformatics, computational biology, or a related field
Research in aging biology, or in a field where aging is studied: cancer biology, epigenetics, immunology, metabolism, mitochondrial biology, neurodegeneration, or epidemiology
Working knowledge of aging: the hallmarks, how clocks are built, and biological vs. chronological age
Depth in at least one of:
Computational: machine learning or statistics on omics data
Experimental: hands-on experience generating omics or aging data (sequencing, model organisms, senescence or mitochondrial assays), so you know how experiments go wrong
You code your own analysis end to end in Python or R
Work you drove yourself (first-author paper, thesis, independent project) that you can defend in detail
A track record of catching errors in data that others missed
Daily use of AI coding tools, and the confidence to overrule an AI when the evidence demands it
Strongly preferred
Published research in aging, geroscience, or longevity
Experience building or validating aging clocks, or analyzing lifespan or healthspan data
Familiarity with UK Biobank, TCGA, GEO, Tabula Muris Senis, or the NIA Interventions Testing Program
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
See All 16 Remote Molecular Biologist Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Molecular Biologist Job Market
Who's Hiring
Top Industries Hiring
- Biotechnology & Pharmaceuticals
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in remote molecular biologist jobs.
- PhD or Master's degree in molecular biology, biochemistry, or a closely related field
- Hands-on proficiency with PCR, qPCR, gel electrophoresis, and Western blotting techniques
- Experience with CRISPR-based gene editing or RNA interference methods
- Familiarity with next-generation sequencing workflows and basic bioinformatics tools
- Demonstrated ability to design experiments, analyze data, and present findings in writing
- Experience working under GLP or GMP guidelines in a regulated research environment
Tips for Your Remote Molecular Biologist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote molecular biologist openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through non-remote listings. Applying early matters because competitive remote roles close fast.
Show async lab communication in your application
Remote molecular biologist employers screen for written clarity above almost everything else. Include documented examples of protocols you wrote, findings you communicated asynchronously, or cross-functional reports you authored. A writing sample from real project work carries more weight than a list of tools.
Build a portfolio of independent research output
Remote hiring managers can't observe you in a lab, so your documented output does the work. GitHub repositories with bioinformatics scripts, published papers, or even a detailed write-up of an independent project you ran demonstrate the self-direction that remote molecular biologist roles require.
Prepare for remote-first interview formats
Many remote molecular biologist interviews include an async technical screen, a written case study, or a take-home data analysis task before any live call. Practice explaining your experimental reasoning clearly in writing and presenting data findings concisely over video without relying on a whiteboard.
Remote Molecular Biologist Jobs: Frequently Asked Questions
How do I get a remote molecular biologist job?
Target companies built around distributed lab-adjacent work: biotech platforms, genomics software firms, computational biology teams, and CROs with remote research functions. Remote employers screen for strong written communication, comfort with async collaboration tools, and the ability to manage experimental workflows independently. A portfolio showing data analysis projects, published work, or remote contract contributions gives you a concrete edge over candidates without documented independent output.
Which companies hire remote molecular biologists?
Companies hiring remote molecular biologists right now include LatchBio, Freenome, and Colgate-Palmolive, based on current remote listings on Migrate Mate as of November 2026. These tend to be remote-first biotech companies, distributed genomics and diagnostics firms, and life sciences technology platforms that run research workflows across geographically distributed teams.
Can you get a remote molecular biologist job with no experience?
Yes, but remote entry-level molecular biologist roles are harder to land because employers expect you to work independently from day one with minimal in-person mentorship. Computational biology startups and genomics data companies are your most realistic entry points. Demonstrating self-directed projects, open-source bioinformatics contributions, or remote internship experience signals you can function without hands-on supervision.
Do you need a degree for remote molecular biologist jobs?
Usually, yes. Most remote molecular biologist roles require at least a bachelor's degree in molecular biology, biochemistry, or a closely related field, and many research-focused positions prefer a master's or PhD. Remote employers weigh demonstrated technical skills, published or documented project work, and proficiency with bioinformatics tools alongside formal credentials when evaluating candidates.
Which industries hire the most remote molecular biologists?
Remote molecular biologist roles concentrate in Biotechnology & Pharmaceuticals and Consulting & Professional Services, based on current remote listings on Migrate Mate as of November 2026. These sectors hire molecular biologists remotely because their research and analysis workflows, particularly in genomics, diagnostics, and life sciences software development, translate well to distributed team structures.
See All 16 Remote Molecular Biologist Jobs
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