Team Leader in Data Science, Disease Area X

Role: Lead data science efforts within Novartis' Disease Area X, focusing on transforming complex multi-omics data into insights for drug discovery. Responsibilities include developing and executing hypothesis-driven analyses across genomics, transcriptomics, proteomics, and imaging data; defining AI/ML strategies—including generative and agentic AI; and collaborating with cross-functional teams to accelerate target and biomarker discovery. The position involves hands-on software development, data engineering, and scalable analytics, as well as leadership in managing a team of data scientists and fostering responsible AI use. Qualifications: PhD in Data Science, Computational Biology, or related field; 6+ years in computational biology or data science applied to drug discovery and translational research; experience managing scientific teams and external collaborators; proficiency in Python/R, cloud computing, workflow tools, and high-performance computing. High-value: Emphasis on multi-omics (RNA-seq, single-cell, spatial, imaging), AI/ML applications in biomedical data, and cross-disciplinary collaboration. Location: Cambridge, MA, hybrid work model. The role requires strategic scientific influence, impactful communication, and a strong record of scientific contributions.