AI Biologist - Proteomics
- Salary
- $120K - $180K
- Level
- Mid
- Work type
- On-site · San Francisco
Not stated in the posting: visa.
Open. First seen 2 October 2026.
About the role
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.
We're seeking a Bioinformatics Engineer to join our Proteomics team working at the frontier of what artificial intelligence can achieve in biology.
About the Role
You will contribute to our technical approach to teaching agents how to understand and handle complex proteomic 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:
- Proteomic data QC → analysis
- NGS-Based Proteomics
- Liquid Chromatograph / Mass Spectrometry
- Protein Sequencing
- Single-molecule proteomics
- Affinity-targeted assays
- X-Ray Crystallography
- Spatial proteomics
- Clinical interpretation of proteomics data
Requirements
- 3+ years hands-on experience with proteomics or proteomics data
- 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 & 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.
- Intro Screen - Technical Recruiter
- Take-Home Project - HackerRank
- Technical Interview - Member of Technical Staff
- Culture Interview - C-Suite (If applicable)
- Offer
What this role asks for
Particular to this role
R
Rare in LatchBio's other 15 open postings.
Read against LatchBio's other open postings on this site.
The team: Research HIRES STEADILY
This role is one of 9 open in Research. 2 were posted in the last 30 days and the oldest in July: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (3 of 9), R (3 of 9)
OTHER ROLES ON THIS TEAM
- Member of Technical Staff, Science posted Oct 14
- AI Neuroscientist posted Oct 13
- Member of Technical Staff, Gene Therapy posted Sep 13
- Member of Technical Staff, Cell Therapy posted Sep 9
- AI Biologist - Cancer Biology (Applications) posted Sep 1
- AI Biologist - Metagenomics posted Aug 13
- Member of Technical Staff, Translational Medicine posted Aug 6
- Member of Technical Staff, Proteomics posted Jul 10
From the team and dates on LatchBio's own job board.
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