Bioinformatics Engineer - Oligonucleotide Drug Discovery

LatchBio•San Francisco, CA

20h•$120,000 - $180,000•Remote

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 Bioinformatics Engineer to join our Oligonucleotide Drug Discovery 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 drug discovery and development data, working across end-to-end workflows from instrument outputs and experimental readouts to real scientific decisions. You will work as part of a team of software engineers, biologists, and drug hunters building datasets to teach these agents to reason better across: Genetic target and MoA selection ASO/siRNA drug design Screening and functional characterization Pharmacology

Requirements

3+ years hands-on experience with oligonucleotide (ASO/siRNA), RNA therapeutics, or related
Experience in drug target validation or mechanism-of-action studies using functional or population genomics
Familiarity with drug discovery and development workflows - sequence design, knockdown screening, or preclinical PK/PD
Proficiency in AI agent use
OPT visa holders only (not STEM Extension)

Nice To Haves

Proven management skills

Responsibilities

Contribute to our technical approach to teaching agents how to understand and handle complex drug discovery and development data.
Work across end-to-end workflows from instrument outputs and experimental readouts to real scientific decisions.
Work as part of a team of software engineers, biologists, and drug hunters building datasets to teach these agents to reason better across: Genetic target and MoA selection, ASO/siRNA drug design, Screening and functional characterization, Pharmacology.