Director, Data Science and Artificial Intelligence – Oncology, Prostate Cancer

Responsibilities

• Serve as primary scientific and strategic business leader for clinical‑stage Prostate Cancer Programs within Data, Data Science, and AI
• Represent Data Science to Compound Team(s), where you will identify, develop and deploy Data Science solutions, including program and trial AI strategy to support clinical development
• Provide subject matter expertise in prostate cancer clinical development, trial design, real‑world evidence generation, and ML/AI tools
• With internal and external teams, leverage advanced analytics, including statistical models and AI/ML, to uncover insights from these complex datasets
• Work closely with individual clinical project teams as well as functional area partners in Regulatory Affairs, Medical Affairs, Clinical Development, Epidemiology, Commercial Data Science, Statistics, and others to deploy Data Science solutions
• Evaluate and manage external partnerships that can leverage new technologies/solutions/data assets for Prostate cancer program needs

• Advanced degree (PhD, MD, PharmD or MS) in a field experienced working with high‑dimensional datasets (e.g., Data Science, Pharmacoepidemiology, Biostatistics, Outcomes Research, Public Health, Computer Science)
• A minimum of 8 years experience in drug development or related discipline in the field of biotechnology, artificial intelligence, omics, or real‑world evidence, or 8 years in clinical practice with outcomes research experience
• Working knowledge of clinical oncology, such as treatment paradigms, patient experience, and clinical trials
• An understanding of common data science research practices, such as predictive technologies, data mining and/or text mining
• Hands‑on experience with a range of data science use cases in R&D (e.g., ECAs, site selection algorithms) and strong problem‑solving abilities
• Experience working with healthcare‑related datasets, such as electronic health records (EHR), omics, or imaging datasets, with an understanding of their structure, limitations and applications to research
• Prior experience working and driving external partnerships, either corporate or academic
• Proven track record of managing timelines and driving key deliverables in a matrixed organization
• Excellent communication, interpersonal, and written skills

• data science
• machine learning
• artificial intelligence
• biostatistics
• predictive technologies
• data mining
• clinical trial design
• real‑world evidence generation
• high‑dimensional datasets
• clinical oncology

• problem-solving
• communication
• interpersonal skills
• written skills
• leadership
• strategic thinking
• collaboration
• project management
• time management
• stakeholder engagement

• PhD
• MD
• PharmD
• MS