Director, Data & Epidemiology Analytics

The Director of Real-World Data & Epidemiology (RWD & Epi) Analytics leads the design, execution, and communication of observational studies using diverse RWD sources.

• 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.

• 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.

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.