Remote Biologist Jobs
Remote biologist jobs are open across the U.S. at remote-first firms, distributed research teams, and biotech companies scaling without geographic limits. Demand is active in biotech, environmental consulting, pharmaceutical research, and life sciences, with employers like LatchBio, Freenome, and Colgate-Palmolive hiring now. Scan the live roles below and apply to whichever ones fit.
Find Remote Biologist JobsOverview
Showing 5 of 14+ Remote 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 14 Remote Biologist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Biologist JobsRemote 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 biologist jobs.
- Bachelor's or master's degree in biology, biochemistry, or a closely related life science field
- Hands-on experience with core laboratory techniques such as PCR, cell culture, or microscopy
- Proficiency in data analysis software including R, Python, or GraphPad Prism
- Experience writing or contributing to scientific reports, protocols, or peer-reviewed manuscripts
- Familiarity with biosafety regulations and good laboratory practice standards
- Field data collection experience or knowledge of environmental sampling methods
Tips for Your Remote Biologist Job Search
Show your async scientific communication skills
Remote biology employers care deeply about written clarity. Build a portfolio of lab reports, research summaries, or technical memos that demonstrate you can communicate findings without in-person meetings. Clear, structured scientific writing is what gets you hired over equally qualified in-person candidates.
Apply early to remote roles that fit
Migrate Mate lists remote biologist openings from across the U.S. in one place, so you can find roles that match your specialty and apply directly without sorting through unrelated listings. Applying in the first few days of a posting going live gives you a real edge before competition builds.
Highlight remote-ready lab and data tools
Remote biology roles frequently require bioinformatics platforms, LIMS systems, or data analysis tools like R or Python alongside wet lab credentials. Name these explicitly in your application materials so hiring managers see you can contribute from day one without an on-site onboarding ramp.
Demonstrate independent project ownership
Remote employers want biologists who manage their own timelines and troubleshoot without escalating every obstacle. Point to specific projects you ran start to finish, including how you coordinated with collaborators asynchronously, to show you're built for distributed team environments.
Remote Biologist Jobs: Frequently Asked Questions
How do I get a remote biologist job?
Target companies with distributed science teams: biotech startups, environmental consulting firms, and life sciences organizations that run research operations across multiple sites. Remote employers screen for self-direction, clear written communication, and comfort with async workflows. Strong candidates show lab documentation skills, proficiency with bioinformatics or data tools relevant to their specialty, and a history of delivering results without on-site supervision.
Which companies hire remote biologists?
Employers currently hiring remote biologists include LatchBio, Freenome, and Colgate-Palmolive, per current remote listings on Migrate Mate as of November 2026. Remote biologist roles are most common at distributed biotech firms, remote-first environmental consultancies, and pharmaceutical companies running decentralized research programs.
Can you get a remote biologist job with no experience?
Yes, but remote entry-level biologist roles are harder to land because employers expect you to work independently from day one with minimal supervision. Remote-first biotech startups and environmental data firms occasionally hire entry-level candidates. You can strengthen your candidacy by showing independent research projects, strong scientific writing samples, and familiarity with remote collaboration tools used in life sciences.
Do you need a degree for remote biologist jobs?
Usually, yes. Most remote biologist roles require at least a bachelor's degree in biology, ecology, biochemistry, or a related field, and many research-focused positions prefer a master's or doctorate. That said, remote employers also weigh demonstrated technical skills, published or documented research, and proficiency with relevant software tools alongside formal credentials.
Which industries hire the most remote biologists?
The sectors hiring the most remote biologists are Biotechnology & Pharmaceuticals and Consulting & Professional Services, based on current remote listings on Migrate Mate as of November 2026. These sectors hire biologists remotely because their research, consulting, and data analysis workflows translate well to distributed teams operating across multiple regions.
See All 14 Remote Biologist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Biologist Jobs