AI Biologist - Function

AI Biologist - Function

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 Engineerto join our Function team working at the frontier of what artificial intelligence can achieve in biology.

About the Role

You will contribute to our technical approach for evaluating how AI agents reason through biological function: recovering and interpreting experimental evidence to make informed decisions about binding, stability, immune escape, viral fitness, toxin potency, and protein design.

Working with software engineers and biologists, you'll build ground-truth benchmark datasets (drawn from real discovery and development programs) that rigorously test whether agents can perform the critical quantitative reasoning steps that human scientists execute: parsing noisy assay data, inferring mechanism, and predicting functional outcomes.

Your hands-on expertise in functional biology assays and computational modeling will define how we measure agent capability in understanding and reasoning about biological sequences and structures.

Requirements

• Hands-on experience in biochemistry, biophysics, bioengineering, synthetic biology, virology, microbiology, immunology, or a closely related field
• Direct experience generating or analyzing functional-assay data (titration curves, deep mutational scanning, potency assays, cell-based readouts, etc.) OR computational protein design
• Comfort with quantitative modeling applied to noisy experimental data
• Proficiency in Python and/or R for data analysis & visualization
• Familiarity with at least one of:

+ Binding affinity & stability (Tite-seq, SPR/BLI, biophysical characterization) + Imm