Ai Biologist - Rare Disease

LatchBio•San Francisco, CA
•$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. We're seeking an AI Biologist to join our Rare Disease team to explore the frontier of what AI assistance can enable in rare disease biology. You will contribute to Latch’s benchmarks, strategy, and research on agents that can navigate, diagnose, and aid research toward rare disease. We are especially interested in teaching agents to translate molecular and clinical evidence into decisions with utility for patients, advocacy groups, clinicians, drug developers, and scientists.

Requirements

  • Master's, PhD, or equivalent experience in a relevant biological or quantitative field
  • 3+ years hands-on experience in basic or translational research, clinical genomics, rare disease diagnostics, or rare disease therapeutics, ideally as demonstrated through publications or industry work
  • Deep expertise with therapeutics discovery, biological mechanism, or clinical practice in a subset of rare diseases
  • Experience interpreting data in biological context and identifying confounders, technical artifacts, and limitations of underlying experiments
  • Proficiency in Python/R for biological data analysis or visualization

Nice To Haves

  • Experience with variant interpretation, variant calling, or genomic analysis
  • Familiarity with commonly used rare disease knowledge bases and workflows
  • Proficiency in AI agent use

Responsibilities

  • Structure, curate, and find insights from extensive genomic, phenotypic, pedigree, transcriptomic, and longitudinal clinical data
  • Navigate data partnerships
  • Evaluate realistic patient case scenarios spanning the diagnostic journey
  • Partner with software engineers to define and execute new data workflows and benchmarks

Benefits

  • Genuinely flexible schedules
  • 2x free daily meals
  • Unlimited snacks
  • Company outings most months
  • Team offsites
  • Waterfront office near Oracle Park
  • Monthly parking (based on availability)
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