Principal AI Scientist driving agentic AI and digital transformation in drug development at AstraZeneca. Collaborating across departments to implement AI solutions and enhance scientific workflows.
Responsibilities
Lead the design and implementation of agentic AI systems to facilitate scientific discovery and drive productivity.
Deliver agentic AI and generative AI based solutions for drug development tasks
Embed within and collaborate across scientific, digitisation, and IT teams to ensure that AI-driven solutions are both impactful and well-integrated into current workflows.
Represent the group internally and externally, sharing insights on how best to deploy agentic AI to unlock data-driven value within R&D.
Foster a scientific culture that connects lab innovation with advanced computational methods leading to a predict first mindset in early drug development
Collaborate internally & externally to pursue the development of foundation models for Chemistry, Manufacturing and Control (CMC)
Requirements
PhD in natural sciences
Several years of industrial experience in the field of drug design, pharmaceutical chemistry, or drug development
Expert knowledge in using generative AI applied to drug design and development (e.g. Graph ML and representation learning; agentic AI and orchestration; Scientific data integration)
Domain knowledge in computational chemistry, chemical informatics, and/or laboratory and data workflows preferred
Excellent communication skills, written and spoken; self-motivated team player
Experience in project leadership
Demonstrated System-level design and platform thinking
Demonstrated external reputation (e.g. via internationally recognised publication track record)
Benefits
Excellent Benefits
Job title
Principal AI Scientist, Chemistry, Pharmaceutical Sciences
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