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Contribute to the technical approach of teaching AI agents to understand and handle complex genomic and proteomic data. Work across end-to-end data analysis workflows from instrument outputs to scientific decision-making.
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 BioEngineer for Genomics to join our genomics bench, 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
5+ 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
Compensation & Logistics
OTE 120k - 180k, performance based, based on individual's expertise
Free meals (lunch and dinner)
Waterfront office in China Basin, San Francisco
Full-time, in-person (can be remote)
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