Develop computational chemistry models and data science tools to enhance drug discovery. Collaborate with teams to design experiments and evaluate model performance.

Lead design and deployment of graph ML and network-biology analyses to generate drug target hypotheses from RWD and multi-omic data. Prototype methods, integrate solutions with engineers, prioritize tasks, and communicate results to cross-functional stakeholders while championing data science best practices.

Lead program planning, tracking, and reporting for discovery drug development programs. Drive strategic alignment, manage budgets/resources/risks, facilitate cross-functional teams, present status to senior management, and support PPM team growth.

Lead teams in applying statistical genetics to identify and validate drug targets, collaborate with varied data scientists and stakeholders, develop project plans, and utilize diverse datasets for drug discovery.