Member of Technical Staff - Proteomics

Latch builds rigorous scientific benchmarks (benchmarks.bio) that measure how well AI agents perform real biology. Frontier AI labs and pharma use them to answer one question: can an agent handle the messy, multi-layer reasoning that real biological work demands?

Every benchmark is grounded in real experimental and clinical work, including designing experiments, interpreting data, reading clinical endpoints, and advancing compounds. Each is built by scientists who've done that work themselves.

We're roughly 95 people in San Francisco, backed by Lux Capital, Coatue, Fifty Years, Haystack, Jeff Dean, Alec Nielsen, and George Church.

We're seeking a Member of Technical Staff for Proteomics to lead our Proteomics benchmark and define how the field measures AI in this domain.

About the Role

You will design our technical approach to teaching agents how to understand and handle complex proteomic data, mapping out end-to-end data analysis workflows and working from instrument outputs to real scientific decisions.

You will lead a team of software engineers and biologists building datasets to teach these agents to reason better across:

• Raw data QC, chromatography and instrument performance assessment

• Bottom-up proteomics: DDA and DIA acquisition, database search and spectral library workflows (e.g. DIA-NN, Spectronaut, MaxQuant, FragPipe)

• PTM analysis, including phospho and other enrichment workflows

• Untargeted and targeted metabolomics: feature detection, alignment, MS2 annotation and identification confidence levels (e.g. XCMS, MZmine, MS-DIAL)

• Lipidomics: class-level and species-level identification, nomenclature, and isomer ambiguity (e.g. LipidSearch, LipidXplorer)

• Normalization, batch correction, missing-value handling, and differential analysis across all three modalities

• Multi-omic integration and clinical or translational interpretation of MS data
  

Requirements

• 5+ years hands-on experience generating and analyzing proteomics data (eg. LC/MS)

• Demonstrated experience with at least one of metabolomics or lipidomics, ideally from a core facility, platform company, or pharma biomarker group

• Prior contribution to a novel proteomics method, tool, or published pipeline

• Proficiency in coding and agents

Culture @ Latch

How we work. Genuinely flexible schedules— we only ask that you are extra communicative 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, never each other. We optimize for each other's time and bring solutions, not just problems.

Office & Perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant Latch community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.

Compensation & Logistics

• Full-time, in-person

• Unlimited PTO (truly)

• Work Visa sponsorship

• Flexible Spending Account

• 401 contribution (no match)

• Profit Share + Ambitious Equity

• Team-wide science reading groups

• 100% covered Health, dental, vision

• Relocation Assistance (if applicable)

• Lunch and dinner provided every workday

• Waterfront office in China Basin, San Francisco

• Company-sponsored professional development

• Flexible working hours, so long as you maintain an onsite presence

• Best office dog: Nix

Interview Process

1. Intro Screen (30m): Recruitment Team

2. Intro Technical Screen (30m): Member of Technical Staff/CTO

3. Deeper Technical Screen (1hr): Member of Technical Staff/CTO

4. Onsite Work Trial: 2-3 days (we will take care of all accommodations)

5. Decision: 1-3 days after your interview