Role: The Director of Real-World Data & Epidemiology (RWD & Epi) Analytics leads the design, execution, and communication of observational studies using diverse real-world data sources. This role involves strategic leadership, expertise in observational study methods, data infrastructure development, and advanced AI-driven analytics to support clinical development, market access, and health-policy decisions.
Responsibilities:
- Collaborate to design, execute, and report epidemiologic studies supporting specific assets and indications.
- Perform feasibility assessments to identify optimal RWD sources such as claims, EHR, and registries.
- Manage study execution, including data analysis, programming, and quality control per regulatory standards.
- Present complex findings clearly to technical and non-technical audiences.
- Evaluate emerging data modalities and integrate them into evidence-generation efforts.
- Lead AI pilot projects and scale successful applications within routine analytics.
- Mentor scientists and programmers, fostering technical growth.
- Establish standardized processes, governance, and infrastructure for data and analytics.
- Contribute to department strategy and represent the team on key initiatives.
Qualifications & Skills:
- Graduate degree (PhD or Master’s) in Epidemiology, Biostatistics, Public Health, or related field.
- 10+ years’ experience in real-world evidence generation and epidemiology analytics.
- Expertise in observational study design, statistical methods, and RWD evaluation.
- Proficiency in statistical programming (SAS, R, Python) and AI/ML frameworks.
- Strong communication, presentation, and stakeholder management skills.
- Oncology experience is preferred.
- Proven research achievements and ability to work independently and in teams.
- Excellent organizational skills and ability to handle pressure.
Work Flexibility: Offers partial remote work with approval, up to 40% away from the office.