Jobs at Insitro

Develop and deploy computer-vision and ML pipelines for microscopy datasets, partner with biologists and engineers, benchmark and calibrate tools, extract disease-relevant phenotypes, and communicate results to cross-functional stakeholders.

Design, develop, and qualify automated lab workcells and liquid-handling protocols; integrate automation with LIMS and AI/ML pipelines; diagnose mechanical, software, and systems integration issues; collaborate with scientific, software, and systems engineering teams to translate workflows to automation; improve automation development, testing, and deployment; plan automation inventory and lifecycle. Onsite in South San Francisco.

The Scientist II will develop and execute high-throughput screening assays, collaborate with multidisciplinary teams, analyze biological datasets, and maintain rigorous documentation for drug discovery.

Lead project and portfolio management for early-stage drug discovery programs, partnering with cross-functional teams to build integrated plans, manage scope, risks, resources and timelines, improve PPM tools/methodologies, and communicate strategy and progress to senior leaders to advance candidates toward clinical development.

The Senior Director of Project & Portfolio Management will lead cross-functional teams, develop integrated project plans, and establish AI-forward project management methodologies to advance drug candidates in a hybrid work environment.

Develop ML methods for biological data analysis, collaborate with scientists, integrate diverse data modalities, and drive innovations in disease modeling.

Lead and grow a team of machine learning scientists to develop computer-vision methods for in‑vitro microscopy. Partner with lab and imaging software teams to co-develop assays, translate methods to computational biology, set roadmaps, participate in code and method reviews, and advance imaging QC and self-supervised/VLM-based approaches to drive therapeutic programs.

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.