AI Biologist - Variant
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At a glance
Requirements
Credentials this posting asks for.
Job overview
LatchBio is hiring a Bioinformatics Engineer - Variant. LatchBio is seeking a Bioinformatics Engineer to join the Variant team, designing, building, and evaluating LLM benchmarks for genomic analysis, including read alignment, assembly, variant calling, GWAS, causal inference, and multiomics integration, while owning the full evaluation pipeline and impacting AI agents for human genetics data.
Key focus areas include Design and build LLM benchmarks for genomic analysis spanning read alignment, assembly, and variant calling., Develop benchmarks for GWAS, causal inference, and multiomics integration., and Own the full evaluation pipeline: choose datasets, define failure modes, write grading scripts, and ship evaluations..
Successful candidates bring Master's Or PhD In Bioinformatics, Genetics, Biology, Statistics, Or Related Field, 3-5 Years Of Hands-On Research Experience Analyzing Genomics Datasets, and Work Authorization: OPT Visa Holders Only. Important skills include Genomic Analysis, Population Genetics, Statistical Genetics, Clinical Genomics, Genotyping Workflows, and Variant Calling. Preferred (not required): Building Open-Source Bioinformatics Software, LLM-Powered Tools, Prompting, and Evaluation Frameworks.
Skills & qualifications
Skills
Qualifications
Full job description
Bioinformatics Engineer - Variant As molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry. Latch is building intelligent, high-performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs to handle data from instrument-to-insights.
We're seeking a Bioinformatics Engineer to join our Variant team working at the frontier of what artificial intelligence can achieve in biology.
About the Role
You'll design, build, and evaluate LLM benchmarks for genomic analysis - spanning read alignment, assembly, variant calling, GWAS, causal inference, and multiomics integration. Your benchmarks and evaluations will set the bar for how well AI agents can serve as analysis partners for scientists working with human genetics data.
You'll own the full evaluation pipeline: choosing datasets, defining failure modes, writing grading scripts, and shipping evaluations that measure real capability. Your work directly impacts how LLMs reason through genomic problems.
Requirements
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Master's or PhD in bioinformatics, genetics, biology, statistics, or related field
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3-5 years of hands-on research experience analyzing genomics datasets (especially human data), demonstrated through publications or industry work
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Deep expertise in at least one of: population genetics, statistical genetics, clinical genomics
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Fluency with genotyping workflows: variant calling, fine-mapping, Mendelian randomization
Nice-to-Have
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Experience building open-source bioinformatics software
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Familiarity with LLM-powered tools, prompting, or evaluation frameworks
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Background in cross-trait analysis or multiomics integration
Culture @ Latch
How we work. Genuinely flexible schedules - we just ask that you communicate when you're coming in later than usual. We care most about hard work and output. We're respectfully opinionated, it will always be us against problems, not each other. Optimize for each other's time and bring solutions, not just problems. You'll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.
The office & perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.
Compensation & Logistics
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1099 (or W8-BEN) contract, 40 hrs/week, no end date
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Fully performance-based pay: $120K–$180K, uncapped upside. 2x quota = 2x pay.
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2-4 week paid ramp - full OTE from day one
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Remote (globally), hybrid, or onsite in SF (onsite preferred)
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Work authorization: OPT visa holders only (not STEM Extension)
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Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)
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Candidates with all of the above qualifications + proven management skills will be eligible for more senior positions
Interview Process
Timeline: We move fast: 8–12 days from submission to offer.
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Intro Screen - Technical Recruiter
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Take-Home Project - HackerRank
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Technical Interview - Member of Technical Staff
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Culture Interview - C-Suite (If applicable)
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Offer
You've read the whole posting — now see how you match it.