Director, Data & Epidemiology Analytics

Role: The Director of Real-World Data & Epidemiology (RWD & Epi) Analytics leads the design, execution, and communication of observational studies using diverse RWD sources. Responsibilities Collaborate with asset leaders to plan and report epidemiologic studies, including feasibility assessments, study design, data analysis, and reporting.Conduct survival and economic modeling to support health technology assessments (HTA).Manage study execution, including data management, analysis programming, and quality assurance, ensuring regulatory compliance.Present findings clearly to technical and non-technical audiences, translating complex data into actionable insights.Evaluate emerging data modalities and integrate AI-driven analytics into evidence-generation processes.Mentor scientists and programmers, fostering technical growth and best practices.Develop standardized processes for study execution, data management, and infrastructure evolution in collaboration with data and AI teams.Contribute to strategic departmental initiatives and represent the team on key projects. Qualifications & Skills Graduate degree (PhD or Master’s) in Epidemiology, Biostatistics, Public Health, or related field.Over 10 years of experience in real-world evidence generation and epidemiology analytics.Expertise in observational study design, statistical methods (e.g., survival analysis, causal inference), and RWD evaluation.Proficiency in statistical programming (SAS, R, Python) and AI/ML frameworks.Strong communication, presentation, and stakeholder management skills.Preferred experience in oncology and a strategic mindset for commercial and clinical contexts.Proven research accomplishments with peer-reviewed publications.Ability to work independently and collaboratively in fast-paced environments, demonstrating proactivity and enthusiasm. Additional Details: The role offers flexible work arrangements away from the office, with a competitive salary range. Benefits include health plans, retirement contributions, paid time off, wellness support, and other perks. The position involves leadership in analytics, study design, and infrastructure development within a collaborative, innovative environment dedicated to advancing cancer and serious disease treatments.