AI Biologist - Proteomics
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 19h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 66d ago
The date the source published, not the day we noticed it (2026-07-10). Last seen at its source 3h ago.
Is it remote?
San Francisco or Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
San Francisco
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $117.5k–130k/yr
Middle 50% of 704 listings that do state pay — Healthcare · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 11d ago · last seen 3h ago
The listing
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