Role Summary
Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas. Flexible location across Titusville NJ, Raritan NJ, Spring House PA, Cambridge MA, or San Diego CA. Leads RWE strategy and execution across therapeutic areas, shaping the future of RWE, driving collaborations, and elevating scientific leadership.
Responsibilities
- Strategic Leadership & Ecosystem Building: Define and execute RWE initiatives across therapeutic areas; lead cross-functional RWE committees; foster partnerships; shape the enterprise-wide RWE ecosystem with innovation and governance.
- Regulatory Policy & Scientific Influence: Advise on regulatory-grade evidence generation and policy shaping; lead preparation of data packages for regulatory submissions and agency interactions; represent the organization in external forums to influence RWE standards.
- Scientific Leadership & Methodological Excellence: Chair the Methodology Review Board; oversee high-impact RWE projects; establish best practices for novel study designs; promote learning in emerging RWE methodologies; develop frameworks to scale evidence generation and accelerate delivery; champion scientific rigor and collaboration.
Qualifications
- Required: Ph.D. or Masterβs in epidemiology, biostatistics, outcomes research, health policy, or related field.
- Required: 10+ years of relevant experience in biopharma, RWE consulting, or healthcare industries.
- Required: 7+ years of experience as a people manager.
- Required: Proven expertise in data extraction, cleaning, and analysis; strong grasp of advanced statistical methods.
- Required: Experience with diverse data sources (EHR, claims, registries, trial data, digital health).
- Required: Strong communication skills; ability to engage technical and non-technical stakeholders.
- Required: Leadership and influencing capabilities; track record of cross-functional alignment.
- Required: Highly motivated with executional rigor; strong problem-solving drive.
- Required: Proficiency in R, Python, or SQL.
Preferred Qualifications
- Expertise in regulatory-grade evidence generation and regulatory engagement.
- Strong leadership in cross-functional initiatives; ability to influence without authority.
- Subject matter expertise in Oncology, Immunology, Neuroscience.
- Experience in matrixed organizations and global stakeholder engagement.