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, focusing on molecular design, chemical transitions, and materials design.
Role type
Director, Computational Sciences (Global Team Lead)
Builds
Hierarchical modeling approaches integrating physics-based atomistic methods (molecular dynamics, quantum mechanics) with machine learning and AI for drug candidate design and optimization.
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, cross-functional strategy, external partnership building, project management, scientific publication record
Preferred skills
Experience with hybrid physics-informed AI/ML models, matrixed leadership, democratization of computational tools
Technologies
Molecular dynamics, quantum mechanics, machine learning, artificial intelligence, hybrid physics-informed AI/ML models
Responsibilities
Align strategies with Development Sciences and Discovery leaders; manage project intake and capacity planning for small molecule portfolio; lead innovation in methodologies and emerging technology trends; guide development and implementation of computational models; manage external research collaborations across academia and tech; develop and retain top scientific talent.
Seniority
Director, global team leadership
