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About the Role
Contribute to the technical approach for teaching agents to understand and handle complex genomic data, working across end-to-end data analysis workflows from instrument outputs to real scientific decisions. Collaborate with software engineers and biologists to build datasets for agent reasoning.
Responsibilities
- Contribute to technical approach for teaching agents to understand and handle complex genomic data.
- Work across end-to-end data analysis workflows from instrument outputs to real scientific decisions.
- Collaborate with software engineers and biologists to build datasets for agent reasoning.
- Work on sequencing QC, alignment & assembly.
- Work on variant calling & filtering.
- Work on clinical variant interpretation.
- Work on population genetics and algorithmic reasoning.
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.
Skills
- Genomics
- Genetics data analysis
- Drug mechanism of action studies
- Population genomics
- Python
- R
Location
- San Francisco, CA
Work Type
- Full-time
- In-person
- Remote
Experience Level
- 5+ years
Salary/Compensations
- OTE 120k - 180k, performance based
Benefits
- 100% premium covered Blue Shield platinum health plan
- 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.