AI Biologist - Proteomics

LatchBio; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

2x free meals/day

Waterfront office near Oracle Park

Monthly parking

Job summary

LatchBio in San Francisco is seeking a Bioinformatics Engineer to advance proteomics data analysis. You will join a multidisciplinary team of software engineers and biologists, contributing to data pipelines that teach agents to reason over complex proteomics outputs.

The role emphasizes hands-on experience with proteomics, and proficiency in Python or R, with flexible schedules and on-site options at our SF waterfront office.

Qualifications

• 3+ years hands-on experience with proteomics or proteomics data.
• Proficiency in Python and/or R.

Responsibilities

• Collaborate with engineers and biologists to build proteomics datasets.
• Develop end-to-end data analysis workflows from instrument outputs to decisions.
• Advance QC to analysis for proteomic data.
• Work on NGS-based proteomics and LC-MS workflows.
• Support protein sequencing and single-molecule proteomics projects.
• Contribute to clinical interpretation of proteomics data.

Skills

Proteomics data analysis

Python

R

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.

1. Intro Screen - Technical Recruiter


2. Take-Home Project - HackerRank


3. Technical Interview - Member of Technical Staff


4. Culture Interview - C-Suite (If applicable)


5. Offer