Insitro Benefits Overview

Leads a team of statistical geneticists developing machine-learning methods and reusable workflows for human genetics. Owns GWAS, rare-variant, and post-GWAS analyses to identify causal targets, and translates genetic findings into drug discovery programs. Sets technical strategy, mentors team members, partners with software engineers and computational biologists, and collaborates with therapeutic scientists. Requires deep statistical genetics expertise, people management, machine-learning fluency, publications, and a relevant PhD.

As the Director of Quality Assurance, you will lead the development of QA strategies and systems for AI-driven drug discovery, ensuring compliance with GXP standards, managing global vendors, and validating AI/ML models in clinical processes.

Conduct multimodal computational biology analyses across imaging, omics, and human cohort data to identify therapeutic targets, biomarkers, and disease mechanisms. Partner with experimental biologists on study design, assay optimization, and biological interpretation. Benchmark analytical workflows, apply statistical rigor, and communicate findings through reports, visualizations, presentations, and publications within cross-functional drug discovery teams.