Director – AI Evidence Registry

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. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.  About: At Lilly, we believe in the extraordinary power of uniting care with discovery to make life better for people around the world. As a global healthcare leader headquartered in Indianapolis, we are driven by a deep sense of purpose—one that reaches far beyond our walls. Every day, our people bring passion, curiosity, and unwavering dedication to their work- discovering and delivering life-changing medicines, advancing the understanding of disease, and extending compassion into our communities through meaningful service and philanthropy. We're looking for individuals who share this purpose—who are inspired to make a lasting difference, and who are ready to help shape a better future for patients across the globe. About Lilly Evidence Intelligence Lilly Evidence Intelligence is a new function that delivers non-promotional and validated Lilly clinical evidence directly to the AI platforms healthcare providers increasingly rely on. The goal is to ensure that the responses healthcare providers receive reflect the most current, verified evidence available, at the speed clinical practice requires.

Overview: Lilly is seeking a Director, AI Evidence Registry that develops and maintains a structured, AI-ready body of clinical evidence on Lilly medicines, built for both human readers and large language models. This person defines the structure, standards, and quality of the evidence that powers the program.  How You Will Succeed Develop and maintain a structure, corpus of Lilly clinical evidence, optimized for accurate retrieval and interpretation by large language models. Partner with business units and relevant teams to define the standards and quality controls that govern the registry as it scales across the portfolio. Determine what evidence is eligible for external release, working with legal, and regulatory to confirm disclosure status and non-promotional standards before delivery Keep the registry current as new clinical evidence emerges  Basic Qualifications: Masters Degree in Data Sciences, Clinical Informatics, Computer Science, Biostatistics or Bioinformatics 8 years of experience in data science, statistical programming, biostatistics, or clinical informatics 5 years in pharmaceutical, biotechnology, medical device, or healthcare provider settings. Additional Skills/Preferences: Experience authoring data specifications or interface specifications used by software engineering or data engineering teams. Experience producing analysis datasets, tables, figures, and listings from clinical trial data used in regulatory submissions or publications. Experience with CDISC data standards such as SDTM, ADaM, and CDISC controlled terminology. Experience with linked data or semantic web standards such as JSON-LD, RDF, OWL, or SHACL, including vocabulary and schema design. Has set technical standards or mentored other technical staff without formal reporting lines Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an