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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.

As a Staff Computational Biologist, you will manage the product roadmap for Target ID software, gather user requirements, prototype solutions, and collaborate with engineering teams while leading cross-functional projects.

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 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.