Remote Senior Real-World Data & Healthcare Analytics Lead

Eli Lilly and Company; United States; Remote; USD 171,000 - 330,000; Full time

Job summary

Eli Lilly and Company in the United States seeks a senior leader to advance health economics and outcomes research using real-world data. The role blends hands-on coding with strategic direction, guiding rapid-cycle analyses and AI-enabled workflows to generate trusted evidence for payers, regulators, and clinical teams.

You will mentor scientists, set analytic standards, and partner with medical and regulatory teams to ensure compliant, impactful studies.

Qualifications

• Advanced degree in a quantitative or health-related field with 8+ years with a masters or 5+ years with a doctorate in RWE analytics.
• 5+ years hands-on experience with US medical and pharmacy claims data (e.g. Marketscan, Optum, IQVIA).
• Proficiency in SQL and R or Python to analyze real-world data and translate questions into programs.

Responsibilities

• Lead design of RWE analyses using administrative claims, pharmacy and medical data.
• Program and validate complex analyses from raw data to analysis-ready datasets and results.
• Set coding standards, QC, validation, and reproducibility; peer-review analyses.
• Mentor researchers and collaborate with cross-functional teams across US time zones.
• Develop AI-enabled workflows and rapid-cycle analytics for evidence generation.

Skills

RWE analytics

SQL

R

Python

Team leadership

Education

PhD

MS

MPH

Tools

SQL

SAS

Python

Job description

Eli Lilly and Company in the United States seeks a senior leader to advance health economics and outcomes research using real-world data. The role blends hands-on coding with strategic direction, guiding rapid-cycle analyses and AI-enabled workflows to generate trusted evidence for payers, regulators, and clinical teams.

You will mentor scientists, set analytic standards, and partner with medical and regulatory teams to ensure compliant, impactful studies.