Associate Director, Data Science

Role: Lead data science initiatives in drug discovery and development at Novartis, focusing on integrating machine learning with mechanistic modelling (e.g., PK/PD, QSP) to support decision-making across discovery through clinical phases. Responsibilities: develop hybrid modelling pipelines, translate models into actionable biomarkers, drive innovation in AI-augmented approaches, and collaborate cross-functionally with PKS, Translational Medicine, and Data & Digital teams to leverage diverse datasets; contribute to strategy and advocate for in silico methods. Requirements: PhD (5+ years) or MSc (8+ years) in life sciences or quantitative disciplines; expertise in machine learning, statistics, data science, and experience applying reproducible approaches; strong understanding of ADME, PK/PD, translational modelling; proficient in Python/R and ML libraries (scikit-learn, PyTorch, Keras); excellent communication and collaboration skills. HighValue: drug discovery/development, in silico modelling, hybrid mechanistic/data-driven approaches, translational sciences, AI/ML innovation, cross-disciplinary collaboration, experience with ADME/PK/PD. WorkSetup: hybrid (approximately 12 days/month on-site Cambridge, MA).