Director, Real-World Evidence Analytics

The Director, Real-World Evidence (RWE) Analytics will lead the design, execution, and communication of observational studies using diverse real-world data sources. This role combines strategic leadership, deep technical expertise in observational study design and execution, data and analytic infrastructure development, and advanced AI-driven analytics to deliver evidence that informs clinical development, market access, and health-policy decisions. This position reports to the Head of RWE Analytics within the Outcomes Research & Epidemiology function.

Responsibilities

• Define and implement standardized processes and governance for study execution, data management, and documentation within the analytic environment.
• Collaborate with asset leaders to design, execute, and report on observational and epidemiologic studies in support of assigned assets and indications—spanning feasibility analyses, protocol development, RWE/Epi methods advice, data analysis, and final reporting.
• Conduct feasibility assessments to match study objectives with optimal real-world data sources (claims, EHR, registries, patient-generated data).
• Execute studies by managing table shells, analytic data files, analysis plans, programming, statistical methods, and quality control per regulatory and scientific standards.
• Collaborate with asset leaders to conduct survival and economic modeling to support HTA activities.
• Evaluate new and emerging data modalities (e.g., claims, EHR, social determinants of health, genomics, biomarkers, clinical notes) for study applicability and integrate them into the evidence-generation framework.
• Lead pilots and scale successful AI applications in routine RWE analytics.
• Evolve and scale the data and analytics infrastructure—partnering with data and technology teams to streamline pipelines, ensure reproducibility, and maintain data security and compliance.
• Present study designs, interim analyses, and final results to study teams, translating complex findings into actionable insights for both technical and non-technical audiences.
• Partner with asset leaders to define evidence needs, set realistic timelines, and manage expectations.
• Mentor and coach RWE scientists and programmers, fostering technical growth in study methods, programming skills, and critical thinking.
• As a member of the Outcomes Research team, contribute to department strategy and objectives and represent the function on key cross-functional initiatives.

Requirements

• Graduate degree (PhD or Master's) in Epidemiology, Biostatistics, Public Health, or a related field.
• 10+ years of experience in real-world evidence generation and epidemiology analytics.
• Demonstrated expertise in observational study design, statistical methods (survival analysis/modeling, regression analysis, IPTW, MAIC, causal inference, etc.), and real-world data evaluation.
• Hands-on proficiency in statistical programming (SAS, R, Python) applied to real-world claims/EHR data and AI/ML frameworks.
• Oncology experience preferred.
• Strong commercial and clinical strategic mindset.
• Demonstrated research accomplishments as evidenced by a history of peer-reviewed publications.
• Exceptional communication, presentation, and stakeholder-management skills—both oral and written.
• Ability to work effectively in cross-functional team environments as well as independently with limited supervision.
• Proven ability to perform under pressure in a fast-paced environment with tight timelines.
• Proactive, enthusiastic, and goal-oriented approach to work.

Work Arrangement: 60% on site.

Compensation: Annual Salary range of $220,000 – $250,000 (+25% bonus + LTI). The salary offered will be commensurate with experience, skills, qualifications, and other relevant factors.

About the Search: This search is being managed by Summit Strategic Search on behalf of our client. This is a full-time, permanent position where the successful candidate will be hired directly by the end client.

Equal Opportunity Commitment: Summit Strategic Search and our client are equal opportunity partners. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Accommodations & Support: We are committed to providing reasonable accommodations for qualified individuals with disabilities during the application and interview process. If you require assistance, please contact us at admin@summitstrategicsearch.com. We maintain a zero-tolerance policy for harassment and provide all contractors with dedicated reporting channels to ensure a safe, professional work environment.

Selection & Onboarding: As this is a direct-hire role within a regulated industry, the end client's standard hiring protocols apply. This includes, but is not limited to, a comprehensive background check and drug screening prior to the start of employment. All hiring decisions are made solely by the end client.