Teams at Insitro

Develop and validate high-throughput cell-based screening assays (96/384-well) using CRISPR/RNAi and small molecules; implement qPCR for target validation; run and analyze high-content confocal imaging; build automated liquid-handling protocols; perform QC, Python-based data analysis and DOE statistical modeling; document results in ELNs, lead SOP development, and present findings to cross-functional teams.

Lead clinical operations, manage trial execution, ensure compliance with regulations, and utilize AI/ML tools in drug development at insitro.

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.