Bioinformatics Engineer, Epigenetics

LatchBio•San Francisco, CA

6h•$120,000 - $180,000•Hybrid

About The Position

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. 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

Responsibilities

Contribute to the technical approach for teaching agents to understand and handle complex epigenomics data.
Work across end-to-end data analysis workflows from instrument outputs to real scientific decisions.
Work as part of a team of software engineers and biologists building datasets to teach agents.
Reason across Sequencing QC → alignment & peak calling.
Reason across Chromatin accessibility analysis.
Reason across TF footprinting & motif analysis.
Reason across Histone modification → single-cell multiome integration.
Reason across Gene regulatory network construction.