AI Biologist - Proteomics

Latch Bio
Location
San Francisco or Remote
Job Type
Full-time
Posted
August 14, 2026
Views
3
Salary Range
$120k - $180k USD

Job Description

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

Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The job is located in San Francisco, with the option to work remotely (globally), hybrid, or onsite. Onsite work at the San Francisco office is preferred.
What are the key responsibilities of this role?
You will contribute to teaching AI agents how to understand and handle complex proteomic data. Working with software engineers and biologists, you will build datasets to improve agent reasoning across end-to-end data analysis workflows, from instrument outputs to clinical interpretation.
What qualifications and experience are required?
Candidates must have 3+ years of hands-on experience with proteomics or proteomics data, along with proficiency in Python and/or R.
What is the salary range for this position?
The compensation is a fully performance-based pay range of $120K–$180K with uncapped upside (2x quota equals 2x pay). It includes a 2-4 week paid ramp with full OTE from day one.
Does this position support visa sponsorship?
Regarding work authorization, this position is open to OPT visa holders only (not STEM Extension).
What benefits and office perks are offered?
Onsite perks at the waterfront San Francisco office include two free daily meals, unlimited snacks, and monthly parking (based on availability). The company also offers flexible schedules, monthly outings, team offsites, and various community clubs.
What is the application and interview process?
The process takes 8–12 days from submission to offer. It consists of an intro screen with a technical recruiter, a HackerRank take-home project, a technical interview with a member of the technical staff, and a culture interview with the C-suite (if applicable).

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Job Information

Source: manual
AI Relevance: 95/100 (Highly relevant)
Remote Type: hybrid
Allowed Locations: Worldwide
Skills & Tags:
latch bio artificial intelligence bioinformatics protein clinical proteomics

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