Director, Real-World Evidence Analytics at Summit Strategic Search in Princeton, New Jersey, United States

Job description

• About the job 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.

Skills

Required

• Statistical programming (SAS, R, Python)
• Observational study design
• Real-world data evaluation
• AI/ML frameworks
• Communication
• Presentation
• Stakeholder management
• Cross-functional teamwork
• Independent work
• Performance under pressure
• Proactive, enthusiastic, goal-oriented

Preferred

• Oncology experience

Benefits

• Compensation: Annual Salary range of $220,000 – $270,000 (+25% bonus + LTI). The salary offered will be commensurate with experience, skills, qualifications, and other relevant factors.