Bioinformatics Engineer - Function

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 Function team working at the frontier of what artificial intelligence can achieve in biology.

You will contribute to our technical approach for evaluating how AI agents reason through biological function: recovering and interpreting experimental evidence to make informed decisions about binding, stability, immune escape, viral fitness, toxin potency, and protein design.

Working with software engineers and biologists, you'll build ground-truth benchmark datasets (drawn from real discovery and development programs) that rigorously test whether agents can perform the critical quantitative reasoning steps that human scientists execute: parsing noisy assay data, inferring mechanism, and predicting functional outcomes.

Your hands-on expertise in functional biology assays and computational modeling will define how we measure agent capability in understanding and reasoning about biological sequences and structures.

Hands-on experience in biochemistry, biophysics, bioengineering, synthetic biology, virology, microbiology, immunology, or a closely related field

Direct experience generating or analyzing functional-assay data (titration curves, deep mutational scanning, potency assays, cell-based readouts, etc.) OR computational protein design

Comfort with quantitative modeling applied to noisy experimental data

Proficiency in Python and/or R for data analysis & visualization

Familiarity with at least one of:

Binding affinity & stability (Tite-seq, SPR/BLI, biophysical characterization)

Immune escape & immunogenicity assessment

Viral fitness, host-range, or zoonotic spillover evaluation

Toxin potency or antimicrobial/antiviral resistance

Protein design or structure-guided functional design

Gain-of-function or molecular mechanism investigation

Experience designing or troubleshooting functional assays (ELISA, cell-based, biochemical)

Familiarity with deep learning applied to protein design or functional prediction

Exposure to regulatory or safety considerations in bioengineering

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.

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

Timeline: We move fast: 8-12 days from submission to offer.

Intro Screen - Techcnial Recruiter

Take-Home Project - HackerRank

Technical Interview - Member of Technical Staff

Culture Interview - C-Suite (If applicable)

Offer