Associate Director, HEOR RWE Analytics

Role Summary

Associate Director, HEOR RWE Analytics role focused on designing, planning, and executing statistical components of plans for research studies to prove the value of pharmaceutical assets. Serves as a technical SME for RWE analytics, acting as the point of contact for assigned therapeutic areas, standardizing coding and processes, and translating complex data into understandable insights with data visualization. Applies advanced analytics and machine learning approaches to address complex business questions in collaboration with cross-functional teams.

Responsibilities

• Be the analytics lead for the assigned therapeutic areas to mitigate, resolve and triage analytical complexities
• Present results of analysis and key takeaways to audiences with varying technical skill levels
• Identify internal and external data resources and external expertise to execute strategies and research activities
• Meet timelines in a complex matrix structure; develop and maintain cross-functional relationships to ensure teamwork and problem solving
• Translate TA business into project concepts to develop analysis plans, study design, and corresponding analysis
• Apply good coding, development, and documentation practices to ensure robust analytics projects
• Support clinical trial endpoint strategies by executing analysis and contributing to statistical analysis plans/programming specifications
• Contribute to writing and publishing scientific presentations
• Monitor scientific, regulatory and reimbursement/ access trends for potential impact on current research responsibilities

Qualifications

• Master‚Äôs degree in Statistics or related discipline required; PhD in statistics or related field preferred
• Minimum of 5‚Äì10 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 applying 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; experience analyzing large medical claims datasets/EMR or UNIX/Hadoop environment preferred
• Oncology experience preferred

Skills

• Statistical analysis and modeling
• RWE and real-world data analytics
• Data visualization and communication to non-technical audiences
• Programming in SAS, SQL, R, Python
• Project management and cross-functional collaboration

Education

• Master‚Äôs degree in Statistics or related discipline; PhD preferred

Additional Requirements

• None beyond travel or physical demands not specified as essential in the source