[Hiring] Director/Principal, Real-world Data and Healthcare Analytics Lead @Lilly

Role Description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. The Lilly Research and Evidence Capabilities team within the Health Outcomes and Medical Engagement (HOME) function is looking for talented, energetic, creative, diverse, influential, and collaborative team members to join the team.

The real-world data and healthcare analytics lead will be an integral contributor to our evidence generation strategy. This role will serve as the senior technical authority for generating real-world evidence from administrative claims data.

• Design and execute rapid-cycle protocol-driven analyses and studies using RWD.
• Program and validate complex analyses, set analytic standards, methods, and AI-enabled workflows.
• Serve as the team’s most hands-on technical expert and senior reviewer of junior analysts’ work.
• Work collaboratively with technology teams to advance RWD platforms.
• Balance adherence to standards and best practices with urgency and rapid innovation.

Qualifications

• Advanced degree (PharmD, MD, PhD, MS, MPH) in a quantitative or health-related field (e.g., economics, epidemiology, statistics, actuarial).
• Significant experience (8+ years with masters or 5+ years with doctorate) in RWE analytics.
• Demonstrated 5+ years of hands-on experience working with US and administrative medical and pharmacy claims data.
• Advanced proficiency in statistical language and programming software (i.e., SQL and R or Python).

Requirements

• Lead the design of RWE analyses using administrative claims, pharmacy, and medical data.
• Own analytic quality: set and apply standards for code, QC, validation, documentation, and reproducibility.
• Provide expert input on the fit-for-purpose assessment of real-world data (RWD).
• Support rapid-cycle analytic process efficiency.
• Develop AI-enabled workflows.
• Transform RWD sources to analysis-ready data sets.
• Ensure analyses meet privacy and data governance requirements.
• Mentor and coach research scientists on methods and analytic best practices.

Benefits

• Eligibility to participate in a company-sponsored 401(k); pension.
• Vacation benefits.
• Eligibility for medical, dental, vision, and prescription drug benefits.
• Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts).
• Life insurance and death benefits.
• Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).