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San Francisco, California, United States · Hybrid
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San Jose, California, United States · On-site
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South San Francisco, California, United States · On-site
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Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. Project Details Job Title: Data Labeling AnalystHiring in: Onsite (Bay…
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Irvine, California, United States · On-site
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Sunnyvale, California, United States · Hybrid
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Los Angeles, California, United States · On-site
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Redondo Beach, California, United States · On-site
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Daly City, California, United States · On-site
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San Luis Obispo, California, United States · On-site
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San Diego, California, United States · On-site
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San Jose, California, United States · On-site
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Redondo Beach, California, United States · On-site
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San Diego, California, United States · On-site
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San Diego, California, United States · On-site
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El Segundo, California, United States · On-site
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El Segundo, California, United States · On-site
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Skills: Html, Css, Javascript, Typescript, React
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Develop technical approaches to evaluate AI agents' reasoning in biological functions and build ground-truth benchmark datasets from real discovery programs. Collaborate with software engineers and biologists to measure agent capabilities in understanding biological sequences and structures.
Requires hands-on experience in biochemistry or related fields with direct experience in functional-assay data or computational protein design. Proficiency in Python or R and comfort with quantitative modeling of noisy experimental data are essential.
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 - Technical Recruiter
Take-Home Project - HackerRank
Technical Interview - Member of Technical Staff
Culture Interview - C-Suite (If applicable)
Agent Infrastructure for Biology
Agent infrastructure for biology. Bundled with kits + machines to serve 300+ pharma, biotech and academic teams around the world.
Offices: San Francisco, CA 94103, US
Based on 11733 listings with disclosed salaries, most science & research jobs in California pay between $103k–$250k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 18,578 open science & research positions in California listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Applied Materials, Northrop Grumman, Apple, Google, Kaiser Permanente Oakland Medical Center, among others. Browse the listings above to see every active employer.
Yes — 3931 of the 18578 open science & research positions offer remote or hybrid work (1009 remote, 2922 hybrid).
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