Director, Computational Sciences
Core
Lead a global computational chemistry team to drive AI and physics-based modeling for drug discovery, from lead optimization through clinical development, supporting the design of drug candidates with optimal developability properties.
Role type
Director, Computational Sciences (Leadership)
Builds
Hierarchical modeling approaches integrating physics-based atomistic methods (molecular dynamics, quantum mechanics) with machine learning and AI for precision predictions in drug discovery.
Domain
Biopharmaceuticals / Computational Chemistry / AI in Drug Discovery
Deliverable
production ML models | product features
Required skills
Quantum mechanics, atomistic molecular simulations, molecular dynamics, AI/machine learning, team leadership, strategic planning, cross-functional collaboration, external partnership building, project management, scientific publication record
Preferred skills
Experience in matrixed leadership, mentoring early/mid-career scientists, navigating cross-functional boundaries, executive presence
Technologies
Molecular dynamics, quantum mechanics, machine learning, artificial intelligence, hybrid physics-informed AI/ML models
Responsibilities
Align strategies and research activities with Development Sciences and Discovery leaders; develop and implement strategies for AI-enabled drug discovery; manage multiple projects and team leaders impacting long-term strategy; identify and manage external research collaborations; manage project intake and capacity planning for the small molecule portfolio; lead innovation in methodologies and emerging technology trends; guide the development and democratization of computational models; ensure robust model/data management.
Seniority
Director, strategic leadership with hands-on scientific oversight
