Bioinformatics Engineer - Variant

LatchBio; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Free meals

Waterfront office

Team outings

Snacks

Job summary

LatchBio is seeking a Bioinformatics Engineer to design, build, and evaluate LLM benchmarks for genomic analysis, including read alignment, assembly, variant calling, GWAS, causal inference, and multiomics integration.

You will own the full evaluation pipeline, choose datasets, define failure modes, write grading scripts, and ship evaluations that measure real capability. Remote, hybrid, or onsite in SF are supported.

Qualifications

• 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).
• Deep expertise in population genetics, statistical genetics, clinical genomics.
• Fluency with genotyping workflows: variant calling, fine-mapping, Mendelian randomization.

Responsibilities

• Design, build, and evaluate LLM benchmarks for genomic analysis.
• Own the full evaluation pipeline: datasets, failure modes, grading scripts, and shipping evaluations.
• Your work directly impacts how LLMs reason through genomic problems.

Skills

Genomics data analysis

Population genetics

Statistical genetics

Clinical genomics

Variant calling

Fine-mapping

Mendelian randomization

Education

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

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

• 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 - Techcnial Recruiter
2. Take-Home Project - HackerRank
3. Technical Interview - Member of Technical Staff
4. Culture Interview - C‑Suite (If applicable)
5. Offer