Associate Director, HEOR RWE Analytics

Role Summary

This position is responsible for designing, planning, and executing statistical components of plans for research studies that prove the clinical, economic and humanistic value of pharmaceutical assets. Role supports the department as a technical subject matter expert on RWE analytics, acting as a point of contact for assigned therapeutic areas on analytical needs and driving efficiency through standardized coding and processes.

Responsibilities

• The candidate is expected to be the analytics lead for the assigned therapeutic areas to mitigate, resolve and triage analytical complexities
• Presenting results of analysis and key takeaways to audiences with varying technical skill and level within the organization
• Identifying appropriate internal and external data resources and external expertise to execute strategies and research activities
• Responsibility and accountability for meeting timelines in complex matrix structure, developing and maintaining cross-functional relationships to ensure teamwork and problem solving
• Translating TA business into project concepts to develop analysis plans, study design and corresponding analysis
• Utilization of good coding, development and documentation practices to ensure robust creation, quality control and maintenance of analytics projects
• Support clinical trial endpoint strategies by executing analysis and contributing to statistical analysis plans/programming specifications
• Contribute to the writing and publishing of scientific presentations
• Monitor scientific, regulatory and reimbursement / access trends, events and policies for potential impact on current research responsibilities

Qualifications

• Master’s degree in Statistics or related discipline required; PhD in statistics or closely related discipline preferred
• 5–10 years of experience in analytics programming (SAS, SQL, R, Python) and observational study analysis (claims, survey, clinical and EMR)
• Ability to incorporate production code macros, execute programming assignments, solve issues independently, and present complex research clearly to stakeholders
• Experience and/or training in advanced scientific and analytical methods in real world evidence generation
• Ability to perform urgent analyses with short turnaround time and collaborate with internal and external partners
• Professional healthcare training or experience analyzing large medical claims datasets/EMR or UNIX/Hadoop environment preferred
• Oncology experience preferred