LatchBio · San Francisco or Remote
Skills: Python
AI Biologist - Metagenomics Latch builds rigorous scientific benchmarks (benchmarks.bio http://benchmarks.bio) for AI agents across biology. We work with frontier labs and pharma to measure whether agents can handle real biological workflows: the messy, multi-layer reasoning that matters in the field. We're seeking an AI Biologist to join our Metagenomics 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 complex microbiome and metagenomics datasets. Working with software engineers and computational biologists, you'll build ground-truth benchmark datasets, drawn from real published microbiome studies, that rigorously test whether agents can perform the critical analytical and interpretive steps that expert microbiome researchers execute. Your deep expertise in microbiome biology, metagenomics analysis, and the ability to identify confounders and technical artifacts will define how we measure agent capability in computational microbiology. Requirements - Master's or PhD in microbiology, microbial ecology, bioinformatics, biology, or related field - 3+ years of hands-on research experience with microbiome or metagenomics data, demonstrated through publications or industry work - Deep expertise in at least one of: - Human microbiome and disease (e.g. IBD, CRC, obesity) - Longitudinal microbiome or microbiome interventions (e.g. FMT, diet, antibiotics) - Microbial function and metabolism - Plant, soil, or environmental microbial ecology - Experience interpreting microbiome data in biological context and identifying confounders, technical artifacts, and limitations of the underlying experiments - Proficiency in Python and/or R for biological data analysis and visualization - Familiarity with 16S and/or shotgun metagenomics, including taxonomic, functional, and community-level analysis Nice-to-Have - Hands-on experience designing or t…
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