Senior Leader AI Systems

• Build and lead a team of world-class AI scientists and ML engineers focused on providing state-of-the-art foundational AI capabilities that support disease understanding, target discovery and safety
• Build out a senior scientific leadership layer of domain experts who own defined technical problems, lead the solution approach and guide delivery teams
• Sit on the AI Accelerator Leadership Team and help shape the Accelerators technical strategy and innovation direction
• Set capability build direction and ensure appropriate resourcing to achieve AI Accelerator and Computational Innovation goals
• Drive the team from architecture design through training and engineering to production-quality models and model artefacts ready for deployment
• Set standards for model performance across AI Systems initiatives
• Partner with AI Reasoning to build trust in model outputs and enable confident decision-making
• Build and leverage partnerships with academic and third-party collaborators
• Build the teams external reputation through publications and presence at top-tier ML conferences to attract and retain top talent

• PhD in Machine Learning, Computer Science, Computational Biology or a related field
• Understanding of foundation model architectures and what it takes to build performant models that scale
• Strong track record of building and leading high-performing technical teams that build and productionise biomedical AI capabilities for pharmaceutical research and development
• Experience leading leaders
• Experience shaping AI innovation strategy and translating strategy into execution with appropriately resourced teams
• Ability to turn research into real-world impact
• Excellent stakeholder management skills
• Knowledge of pharma R&D and the ability to understand business needs
• Ability to translate AI work for audiences outside the AI specialism
• Previous pharma R&D experience is advantageous

We are Boehringer Ingelheim, a pharmaceutical company that invests heavily in research and development to discover and develop innovative therapies that can improve and extend lives in areas of high unmet medical need. Our AI Accelerator, based in London and within Computational Innovation, brings together computational biology, human genetics, data excellence and AI to build production-quality AI capabilities that deepen our understanding of disease biology and increase the probability of success. This is a hybrid role with approximately four days a week in the office, and we have been recognised as a Top Employer in the UK for our commitment to strong people practices and supportive HR policies.