Member of Technical Staff - Proteomics
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At a glance
Job overview
LatchBio is hiring a Member of Technical Staff - Proteomics. LatchBio is seeking a Member of Technical Staff for Proteomics to lead its proteomics bench, designing AI‑driven approaches for complex proteomic data. The role involves creating end‑to‑end analysis workflows, translating instrument outputs into scientific decisions, and guiding a cross‑functional team of engineers and biologists to build datasets that improve agent reasoning.
Key focus areas include Design technical approach for teaching agents to handle complex proteomic data, Map out end‑to‑end data analysis workflows from instrument outputs to scientific decisions, and Lead a team of software engineers and biologists building datasets for agent training.
Successful candidates bring 5+ Years Hands-On Experience With Genomics Or Genetics Data. Important skills include Drug Mechanism Of Action Studies Using Population Genomics, Novel Genomics Method, Novel Genomics Tool, Published Pipeline, Python, and R. Preferred (not required): Proteomic Data QC, NGS-Based Proteomics, Liquid Chromatograph / Mass Spectrometry, and Protein Sequencing.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Member of Technical Staff - 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 Member of Technical Staff for Proteomics to lead our proteomics bench, pushing the frontier of what artificial intelligence can achieve in biology.
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:
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Proteomic data QC → analysis
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NGS-Based Proteomics
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Liquid Chromatograph / Mass Spectrometry
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Protein Sequencing
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Single-molecule proteomics
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Affinity-targeted assays
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X-Ray Crystallography
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Spatial proteomics
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Clinical interpretation of proteomics data
Requirements
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5+ years hands-on experience with proteomics data
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Prior contribution to a novel proteomics method, tool, or published pipeline
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Proficiency in Python and/or R
Compensation & Logistics
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$180k+ base, increasing with technical depth and experience
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Variable compensation + equity + stock options
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100% premium covered Blue Shield platinum health plan ($0 deductible / $0 out-of-pocket)
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Free meals (lunch and dinner)
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Waterfront office in China Basin, San Francisco
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Full-time, in-person
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