Data Sciences

This role involves defining and building an agentic AI strategy to create production systems for scientists across discovery, clinical development, and commercialization. The position requires hands-on technical leadership to redesign scientific workflows around AI agents and develop the necessary data and knowledge layers. It focuses on deploying secure, auditable agentic systems with rigorous evaluation frameworks and driving adoption through partnerships and training. The role also involves mentoring the AI team and tracking advancements in foundation models to turn them into practical internal capabilities.