Remote Associate Biologist Jobs
Remote associate biologist jobs are open across the U.S. at remote-first firms and distributed research teams, with demand concentrated in biotech, pharmaceuticals, and environmental science. Employers hiring remote associate biologists 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 Associate 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 Associate Biologist Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Associate 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 associate biologist jobs.
- Bachelor's degree in biology, biochemistry, or a closely related life science field
- Hands-on experience with standard molecular biology techniques such as PCR and gel electrophoresis
- Proficiency in data recording, analysis, and reporting using spreadsheet or statistical software
- Familiarity with Good Laboratory Practice (GLP) or Good Manufacturing Practice (GMP) standards
- Experience maintaining accurate lab notebooks and following standard operating procedures
- Ability to work collaboratively in a team lab setting and manage multiple concurrent experiments
Tips for Your Remote Associate Biologist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote associate biologist openings from across the U.S. in one place. Check it regularly and apply as soon as a role that matches your skills appears, since remote positions with flexible location requirements fill faster than on-site equivalents.
Show your async communication skills upfront
Remote biology employers care deeply about written communication. Treat your cover letter as a demonstration of that skill, writing clearly about how you've managed experiments, documented findings, or coordinated with distributed teams without real-time back-and-forth.
Build a shareable record of your scientific work
Create a GitHub repository or shared portfolio with annotated analysis scripts, data pipelines, or research summaries. Remote associate biologist hiring managers can't watch you work in a lab, so a documented body of work does the talking for you.
Prepare for asynchronous remote interview formats
Many remote biology teams use recorded video interviews or written take-home assessments before a live call. Practice explaining your methods and reasoning in writing, and rehearse concise verbal answers to technical questions about assay design, data quality, or statistical interpretation.
Remote Associate Biologist Jobs: Frequently Asked Questions
How do I get a remote associate biologist job?
Target companies that run distributed research or data-heavy biology workflows, since those are the roles most compatible with remote work. Remote employers screen hard for self-direction, clear written communication, and proficiency with collaboration tools like Slack, Notion, and shared lab-data platforms. Candidates who can document their scientific process clearly in writing and demonstrate they can manage experiments or data pipelines without daily supervision stand out consistently.
Which companies hire remote associate biologists?
Companies hiring remote associate 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 firms, distributed CRO teams, and life sciences companies running computational or data-driven biology programs that don't require on-site lab access.
Can you get a remote associate biologist job with no experience?
Yes, but remote entry-level associate biologist roles are harder to land because employers expect you to work independently from day one with minimal oversight. Candidates can offset limited experience by showing GitHub repositories with bioinformatics scripts, contributing to open-source biology datasets, or completing remote research internships. Remote-first startups and computational biology teams are more likely to take a chance on strong candidates who demonstrate reliable async communication skills.
Do you need a degree for remote associate biologist jobs?
Usually, yes, since most associate biologist roles, remote or otherwise, list a bachelor's degree in biology, biochemistry, or a related field as a baseline requirement. That said, remote employers in computational biology and bioinformatics increasingly weigh demonstrated skills, published datasets, or coding portfolios alongside formal credentials. Relevant certifications and evidence of independent project work can strengthen an application even when your degree field isn't an exact match.
Which industries hire the most remote associate biologists?
Most remote associate biologist openings sit in Biotechnology & Pharmaceuticals and Consulting & Professional Services, per current remote listings on Migrate Mate as of November 2026. These sectors hire associate biologists remotely because their workflows, whether computational analysis, regulatory data review, or research documentation, don't depend on a fixed lab location.
See All 16 Remote Associate Biologist Jobs
Find roles that match your experience and apply in just a few clicks.
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