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About the Role
Design technical approaches to teach agents to understand and handle complex proteomic data, mapping end-to-end data analysis workflows from instrument outputs to scientific decisions. Lead a team of software engineers and biologists in building datasets for agent reasoning across various proteomics techniques.
Responsibilities
- Design technical approaches to teach agents to understand and handle complex proteomic data
- Map out end-to-end data analysis workflows
- Work from instrument outputs to real scientific decisions
- Lead a team of software engineers and biologists building datasets to teach agents to reason better
Requirements
- 5+ years hands-on experience with genomics or genetics data
- Experience in drug mechanism of action studies using population genomics
- Prior contribution to a novel genomics method, tool, or published pipeline
- Proficiency in Python and/or R
Skills
- Proteomic data QC
- 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
- Genomics
- Genetics
- Drug mechanism of action studies
- Population genomics
- Python
- R
Location
- China Basin, San Francisco
Work Type
- Full-time
- In-person
Experience Level
- 5+ years
Salary/Compensations
- $180k+ base
- Variable compensation + equity + stock options
Benefits
- 100% premium covered Blue Shield platinum health plan ($0 deductible / $0 out-of-pocket)
- Free meals (lunch and dinner)
About the Company
- 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.