Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas

Role Summary

Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas. Flexible primary location (Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA).

Responsibilities

• Lead cross-TA RWE initiatives that support clinical development, regulatory submissions, and strategic decision-making.
• Partner with internal stakeholders and external collaborators to co-create integrated RWE strategies and solutions.
• Contribute to shaping regulatory policy and standards for RWE through scientific engagements.
• Develop and disseminate best practices for novel RWE design and methodologies.
• Provide scientific leadership and subject matter expertise in study design, analytics, and interpretation of evidence research.
• Support the development of internal capabilities and tools to accelerate evidence generation and delivery.
• Promote a culture of innovation, scientific rigor, and continuous learning across the RWE function.

Qualifications

• Required: Ph.D. or Master’s in epidemiology, biostatistics, outcomes research, health policy, or related field.
• Required: 8+ years of relevant experience in biopharma, RWE consulting, or healthcare industries.
• Required: 3+ 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 to engage technical and non-technical stakeholders.
• Required: Leadership and influencing capabilities with cross-functional alignment track record.
• Required: Highly motivated, intellectually curious, with executional rigor.
• Required: Proficiency in R, Python, or SQL.
• Preferred: Experience in regulatory-grade evidence generation and regulatory engagement.
• Preferred: Ability to lead cross-functional initiatives and influence without authority.
• Preferred: Subject matter expertise in one or more therapeutic areas.
• Preferred: Experience in matrixed, global organizations.

Skills

• Advanced Analytics
• Budget Management
• Compliance Management
• Critical Thinking
• Data Analysis
• Data Privacy Standards
• Data Quality
• Data Reporting
• Data Savvy
• Data Science
• Data Visualization
• Developing Others
• Digital Fluency
• Inclusive Leadership
• Leadership
• Program Management
• Strategic Thinking
• Succession Planning

Education

• Ph.D. or Master’s in epidemiology, biostatistics, outcomes research, health policy, or related field.

Additional Requirements

• None beyond those specified above.