Director/Principal, Real-world Data and Healthcare Analytics Lead

Purpose

The real-world data and healthcare analytics lead will be an integral contributor to the evidence generation strategy within the Research and Evidence Capabilities team. This role will serve as the senior technical authority for generating real world evidence from administrative claims data, designing and executing rapid-cycle protocol-driven analyses and studies using RWD to match business and strategic research questions.

Primary Responsibilities

Health Economics and Outcomes Research Analysis

• Lead the design of RWE analyses using administrative claims, pharmacy and medical data, including cohort definitions, enrollment, index-date and lookback logic, code sets, and fit-for-purpose assessment of data sources.
• Serve as both technical leader and active contributor: personally program and validate complex analyses from raw RWD through analysis-ready datasets and results, and set the coding standards the team follows.
• Own analytic quality: set and apply standards for code, QC, validation, documentation, and reproducibility, and peer-review analyses across the team.
• Provide expert input on the fit-for-purpose assessment of real-world data (RWD), use of artificial intelligence, and RWD infrastructure needs.
• Support rapid-cycle analytic process efficiency, including prioritization, templates, and triage across teams.
• Develop AI-enabled workflows - LLM-assisted programming, agentic AI, automated QC of analyses and evidence summaries.
• Transform RWD sources to analysis ready data sets to enable rapid generation of RWE.
• Partner with Medical, Legal, and Regulatory so analyses are designed to support the evidence communications they are intended for.
• Ensure analyses meet privacy and data governance requirements (HIPAA, de-identification, small-cell suppression, data use agreements).
• Mentor and coach research scientists on methods and analytic best practice.

Strategy

• Applies disease state knowledge, US healthcare industry expertise, and research methods to develop REC team analytics strategy to accelerate insights to US payers and other internal and external stakeholders.
• Serves as a strategic partner on lead/core teams across medical, tech and various commercial teams.

Information Dissemination

• Collaborate with team members, including field medical team and researchers, to write reports, draft abstracts/posters/manuscripts, create data visualizations, and communicate study/analysis results.
• Communicate study results via dashboards, final reports, manuscripts, or oral presentations in group settings, as well as for communicating with key population-based decision makers (PBDMs) and internal leaders.

Healthcare Industry Domain Knowledge

• Understand Lilly relevant disease states and the broader healthcare environment in order to contextualize analytic requests and analytic capability needs.
• Working knowledge of how claims data are generated, from care delivery and pharmacy dispensing through claims adjudication, and how that shapes data strengths and limitations.

Project Management

• Ensures projects and RWD tools meet timelines, budget, and scope by coordinating analytics efforts with cross-functional Lilly business partners and external collaborators as appropriate.