Director and Group Head, Applied AI
Core
Lead applied AI strategy and multi-year roadmap to accelerate drug discovery using machine learning, generative AI, and predictive models.
Role type
Director & Group Head, Applied AI
Builds
Novel drug discovery insights, therapeutic molecules, and optimized clinical trial designs
Domain
Biopharmaceuticals / Drug Discovery / Machine Learning
Deliverable
production ML models
Required skills
Machine learning strategy, foundation model benchmarking, drug discovery domain expertise (target identification, computational chemistry), large-scale model training, distributed computation, Python, deep learning frameworks, Git
Preferred skills
Publications, patents, open-source contributions, emerging technology adoption
Technologies
Python, deep learning frameworks, Git
Responsibilities
Define and lead applied AI strategy and roadmap; Align priorities with portfolio needs; Lead multidisciplinary teams to prototype and deploy AI solutions; Govern AI portfolio with intake and delivery oversight; Establish best practices for model development and evaluation; Drive benchmarking of foundation models; Partner with engineering to scale solutions; Define evaluation metrics linking model performance to outcomes; Build culture of scientific rigor and mentorship; Forge strategic academic and industry collaborations
Seniority
Director, strategic leadership & hands-on technical direction