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 Epigenomics to join our epigenomics 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 epigenomics 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:

• Sequencing QC → alignment & peak calling

• Chromatin accessibility analysis

• TF footprinting & motif analysis

• Histone modification → single-cell multiome integration

• Gene regulatory network construction

Requirements

• 5+ years hands-on experience with epigenetics or epigenomics data

• Proficiency in Python and/or R

Compensation & Logistics

• Full-time, in-person (can be remote)

• OTE 120k - 180k, performance based, based on individual's expertise

• Free meals (lunch and dinner)

• Waterfront office in China Basin, San Francisco

Location: San Francisco, CA. In-person.