Bioinformatics Engineer - Proteomics

LatchBio

$120K — $180K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years hands-on experience with genomics or genetics data
  • Experience in drug mechanism of action studies using population genomics
  • Proficiency in Python and/or R

Responsibilities

  • Contribute to end-to-end data analysis workflows from instrument outputs to scientific decisions
  • Build datasets to train AI agents for genomic data interpretation
  • Perform quality control and analysis of proteomic data
  • Engage with NGS-based proteomics and single-molecule proteomics
  • Utilize liquid chromatography and mass spectrometry techniques
  • Engage in affinity-targeted assays and X-Ray crystallography
  • Analyze and interpret clinical proteomics data

Benefits

  • Flexibility in work hours with a focus on output
  • Free daily meals and unlimited snacks
  • Regular company outings and team offsites
  • A vibrant community with various clubs and activities
  • Waterfront office location near Oracle Park
  • Opportunity for remote, hybrid, or onsite work
Full Job Description
Bioinformatics Engineer - Proteomics

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 genomic 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 genomics or genetics data
  • Experience in drug mechanism of action studies using population genomics
  • 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 - Techcnial Recruiter
  2. Take-Home Project - HackerRank
  3. Technical Interview - Member of Technical Staff
  4. Culture Interview - C-Suite (If applicable)
  5. Offer

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