Director, Epidemiology-Health Economics & Outcomes Research

Role Summary

As a Director, Epidemiology (HEOR), you will develop and drive real world evidence (RWE) that influences the development and commercialization of our innovative therapies. You will lead high-impact epidemiologic research, apply innovative methods, and work with rich real world data sources answering complex questions for patients, clinicians, regulators, and payers. This on-site role is based in Sleepy Hollow, NY, requiring four days on-site each week; relocation benefits are available, but a fully remote option is not offered.

Responsibilities

• Generate high quality observational research using real-world data to support development and commercial strategies.
• Apply epidemiologic expertise to clinical development and trial design discussions, including opportunities for external control arms or hybrid evidence approaches.
• Support global HTA, payer, and regulatory submissions by generating epidemiology and RWE inputs for reimbursement packages and regulatory and value dossiers.
• Synthesize and critically evaluate scientific evidence to generate epidemiologic evidence for regulatory and payer submissions, press releases, and internal needs.
• Evaluate and implement emerging design and analytic methods enhancing our RWE capabilities.
• Stay current with evolving regulatory and payer expectations for RWE, guiding internal teams on implications for evidence strategy and generation.
• Represent the organization in external scientific, industry, and other forums, including peer reviewed publications and conference presentations to strengthen external visibility.

Education

• PhD in Epidemiology or a related field.

Qualifications

• Required: PhD in Epidemiology or a related subject area with 7+ years of experience across academia, pharma/biotech, or consulting.
• Required: Hands-on leadership in developing study protocols and statistical analysis plans using real-world data sources with a record of peer-reviewed publications.
• Required: Expertise in advanced analytical methods for large healthcare datasets to apply or expand skills in machine learning.
• Preferred: Familiarity with global HTA and payer evidence.

Skills

• Exceptional communication abilities that translate complex designs and findings into clear, actionable insights for a wide range of audiences.
• You thrive in a team-first environment and want to see your work inform decision making at scale.
• Have an innovation approach and enjoy developing solutions to complex problems.
• Are at ease with an abundance of detail and complexity, yet mindful of the big picture.
• Can operate successfully in a fast-paced, rapid-response environment.