Bioinformatics Engineer, Epigenetics
Podsumowanie roli od JobGrid
Bioinformatics Engineer, Epigenetics at Latchbio: San Francisco, Stany Zjednoczone; Na miejscu; Senior; Opieka zdrowotna i nauka. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: San Francisco, Stany Zjednoczone, Na miejscu
- Role classification: Opieka zdrowotna i nauka, Senior
- Source freshness: checked by JobGrid on 2026-06-05.
- Application path: candidates continue to the employer application page with non-personal referral tags.
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
OTE 120k - 180k, performance based, based on individual's expertise
100% premium covered Blue Shield platinum health plan
Free meals (lunch and dinner)
Waterfront office in China Basin, San Francisco
Full-time, in-person (can be remote)
Location: San Francisco, CA. In-person.