Senior Director, Real World Data & Analytics

Opportunity

The Senior Director, Real-World Data & Analytics will work with the Executive Director, Head of Epidemiology and VP of HEOR to establish the RWD&A group at RevMed, scaling organizational capabilities and leading the strategy and execution of key RWD&A deliverables for RevMed assets. They will be accountable for working across the clinical development, safety, medical affairs, commercial including analytics and insights, and IT matrix, developing strategies and leading and/or overseeing execution of key projects.

Reporting to the Executive Director, Head of Epidemiology & RWD Strategy, they will closely align with the other users of RWD at RevMed, develop ways of working and communication channels to maximize RevMed’s investment in RWD as well as lead the analysis (either directly or leveraging junior team members and vendors) of RWD database and other studies.

This is an exceptional opportunity to contribute to the advancement of oncology by leveraging real-world data and analytics that will shape the future of patient care.

Required Skills, Experience and Education

• PhD / DSc / DrPH in epidemiology or biostatistics, or a relevant advanced science degree and at least 12 years of experience with RWD analytics and evidence generation in pharma/biotech.
• Demonstrated experience leading complex RWD/RWE projects from concept through delivery, including study design, analysis, and reporting/submission to regulatory agencies.
• Strong expertise with RWD sources (claims, EHR, registries, -omics data, linked datasets) and analytic tools (R/SAS/Python).
• Demonstrated technical knowledge of epidemiologic, biostatistical, and data science methods.
• Knowledge of drug and clinical development process for genomic/targeted medicines.
• Excellent analytic and problem-solving skills.
• Strong interpersonal skills and the ability to work effectively in multidisciplinary teams, including ability to provide oversight to vendors.

Preferred Skills

• Experience in oncology RWD&A.
• Track record of publications or presentations in RWD&A/epidemiology/data science.
• Experience aligning RWE strategy to regulatory and payer evidence planning, especially around the planning and execution of post-approval safety studies.