Director, Real-World Evidence (RWE) Analytics

Summit Strategic Search; New York (NY); On-site; USD 230,000 - 270,000; Full time

Job summary

Summit Strategic Search is recruiting for a Director of RWE Analytics in biotech to lead the design and delivery of high‑impact observational research and to shape how advanced analytics, data pipelines, and AI are integrated into evidence generation.

This player-coach role blends hands-on data work with strategic influence on clinical development and market access initiatives, while mentoring RWE scientists and partnering with asset leaders to align timelines and evidence needs.

Qualifications

• Graduate degree in Epidemiology, Biostatistics, Public Health, or related field.
• 10+ years of real-world evidence generation experience.
• Expertise in observational study design, survival analysis, regression, IPTW/MAIC, causal inference.
• Proficiency in SAS, R, Python for real-world claims/EHR data and AI/ML.
• Oncology experience preferred.
• Strong commercial and clinical strategic mindset.
• Peer‑reviewed publications demonstrating research impact.
• Excellent communication and stakeholder management.

Responsibilities

• Define and implement governance for study execution, data management, and documentation.
• Design, execute, and report observational/epidemiologic studies across assets and indications.
• Conduct feasibility assessments using claims, EHR, registries, and patient-generated data.
• Manage analysis plans, programming, statistics, and quality control per standards.
• Collaborate on survival and economic modeling to support HTA activities.
• Evaluate new data modalities for study applicability and integration.
• Lead pilots to scale AI in routine RWE analytics.
• Advance analytics infrastructure with secure, reproducible pipelines.
• Present designs and results to study teams and stakeholders.
• Mentor RWE scientists and programmers; contribute to department strategy.

Skills

Observational study design

Statistical methods

Survival analysis

Causal inference

Statistical programming

SAS

R/Python

Epidemiology

Education

PhD or Master’s in Epidemiology/Biostatistics/Public Health

Tools

SAS

R

Python

Job description

Join a highly visible leadership role at the forefront of real-world evidence and next-generation analytics within a well-capitalized, science-driven biotech organization. As Director of RWE Analytics, you will lead the design and delivery of high-impact observational research while actively shaping how advanced analytics, data pipelines, and AI are integrated into evidence generation.

This is a unique \"player-coach\" position. You will have a massive seat at the table influencing clinical development and market access strategy, but you must also remain close to the data—actively executing studies and building out analytic frameworks.

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.

Compensation:

Annual Salary range of $230,000 – $270,000 (+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 [e-mail]. 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.