Senior Specialist, Data Science & AI

Role: Senior Expert in Applied AI for Low Molecular Weight (LMW) Drug Discovery within Novartis. Primary objectives include developing, evaluating, and applying advanced AI/machine learning models—such as foundation models, generative AI, and multimodal AI—to enhance hit generation, lead optimization, and preclinical analysis, including safety and PK/PD assessments. Responsibilities encompass collaborating with multidisciplinary teams, designing robust evaluation frameworks, integrating AI solutions into drug discovery workflows, and communicating impact to stakeholders. Qualifications: 4+ years in machine learning/data science with hands-on Python/deep learning expertise, experience in molecular AI (e.g., generative chemistry, structure-based drug design, protein-ligand modeling, QSAR), and familiarity with version control systems. Preferred skills include knowledge of emerging AI techniques such as uncertainty quantification, active learning, agentic AI, and chemical space exploration. High-value specifics: focus on small molecules, early to preclinical development stages, in silico modeling, and cross-functional collaboration with medicinal chemistry, DMPK, structural biology, and engineering teams. Work setup involves a hybrid model in Cambridge, with a requirement for in-office presence three days per week.