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LatchBio via Ashby

AI Biologist - Variant

Level not stated San Francisco
still open verified 1d ago posted 108d ago checked 3h ago
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This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 108d ago

The date the source published, not the day we noticed it (2026-05-29). Last seen at its source 3h ago.

Is it remote?

San Francisco or Remote

That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.

Who may apply?

San Francisco

The description states no restriction of its own. This is the source's own tag.

Pay not stated

Similar roles pay $117.5k–130k/yr

Middle 50% of 713 listings that do state pay — Healthcare · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

Data AnalysisLLMStatisticsTalent Acquisition

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

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

  • Master's or PhD in bioinformatics, genetics, biology, statistics, or related field

  • 3-5 years of hands-on research experience analyzing genomics datasets (especially human data), demonstrated through publications or industry work

  • Deep expertise in at least one of: population genetics, statistical genetics, clinical genomics

  • Fluency with genotyping workflows: variant calling, fine-mapping, Mendelian randomization

Nice-to-Have

  • Experience building open-source bioinformatics software

  • Familiarity with LLM-powered tools, prompting, or evaluation frameworks

  • 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

  • 1099 (or W8-BEN) contract, 40 hrs/week, no end date

  • Fully performance-based pay: $120K–$180K, uncapped upside. 2x quota = 2x pay.

  • 2-4 week paid ramp - full OTE from day one

  • Remote (globally), hybrid, or onsite in SF (onsite preferred)

  • Work authorization: OPT visa holders only (not STEM Extension)

  • Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)

  • 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.

  1. Intro Screen - Technical Recruiter

  2. Take-Home Project - HackerRank

  3. Technical Interview - Member of Technical Staff

  4. Culture Interview - C-Suite (If applicable)

  5. Offer

 
 
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