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Bioinformatics Engineer - Proteomics
Lat*** · San Francisco, CA, United States
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San Francisco, CA, United States120,000-180,000 USD/yearlyHybrid
Remuneration
120,000-180,000 USD/yearly
Location
San Francisco, CA, United States
Visa sponsorship
Sponsors visa
Job summary
Bioinformatics Engineer - Proteomics 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.
Benefits
Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, compaPlus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reCompensation & Logistics1099 (or W8-BEN) contract, 40 hrs/week, no end dateFully performance-based pay: $120K–$180K, uncapped upside.2x quota = 2x pay.2-4 week paid ramp—full OTE from day oneRemote (globally), hybrid, or onsite in SF (onsite preferred)Work authorization: OPT visa holders only (not STEM Extension)Onsite2x free meals/day, waterfront office (China Basin), monthly parking (based on avCandidates with all of the above
Qualifications
- 3+ years hands-on experience with genomics or genetics data
- Experience in drug mechanism of action studies using population genomics
- Proficiency in Python and/or R
- 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 &
- proven management
Responsibilities
- You will contribute to our technical approach to teaching agents how to understand and handle complex genomic data, working across end-to-end data analysis workflows from instrument outputs to real scientific decisions.
- You will work as part of a team of software engineers and biologists building datasets to teach these agents to reason better across:
Degrees
Associate
Industry
BiotechEnergyGamingHealthcareLogistics