Executive Director, Head of Real-World Analytics and Programming

Location: Remote - US based candidates only, no visa sponsorship available

About the role

For our client, we are seeking a Executive Director, Head of Real-World Analytics and Programming to join the team of a leader in the Pharmaceuticals & Biotech space. This leader will shape the strategy and execution of real-world evidence capabilities that support both scientific and business priorities across the organization. The role will guide cross-functional partners to translate real-world data into actionable insights, while strengthening standards, processes, and analytical rigor. This is a highly visible leadership position with influence across Medical Affairs, data teams, and regulatory-facing work.

Responsibilities

• Develop and implement the strategy and roadmap for real-world analytics and programming supporting clinical and business priorities
• Lead cross-functional teams to deliver Medical Affairs interventional studies effectively
• Assess and guide the use of real-world data sources for answering key scientific and business questions
• Provide authoritative leadership for real-world evidence study design, statistical analysis planning, and final reporting
• Establish rigorous epidemiologic and biostatistical methods aligned with global regulatory guidance
• Develop scalable programming standards, quality control processes, and documentation for analytics activities
• Collaborate with IT and data teams to create efficient data pipelines and analytics environments

Qualifications

• PhD, DSc, DrPH, MPH, or an advanced degree in a related scientific discipline required
• 15+ years of experience in real-world analytics and evidence generation in pharma or biotech
• Proven success leading complex real-world data and real-world evidence programs from strategy to execution, study design to regulatory submission
• Experience building and transforming real-world analytics and programming capabilities, including setting up standards and processes
• Strong expertise in various real-world data sources, including claims and EHR, and proficiency with analytic tools like R, SAS, and Python
• In-depth technical knowledge of epidemiologic, biostatistical, and data science methods vital to the role

Benefits

• Robust equity awards and competitive cash compensation
• Strong learning and development opportunities
• Comprehensive benefits package including health and wellness programs
• Flexible work options including remote work arrangements

Pay

$252,000 – $315,000 annually