Director – AI Evidence Registry

Role: Director of AI Evidence Registry within Lilly Evidence Intelligence, responsible for developing and maintaining a structured, AI-compatible body of clinical evidence on Lilly medicines to support healthcare providers and large language models. Responsibilities include defining evidence standards, ensuring quality controls, collaborating with legal and regulatory teams on external disclosures, and maintaining the evidence registry with emerging data. Requirements: Master’s in Data Sciences, Clinical Informatics, Computer Science, Biostatistics, or Bioinformatics; 8+ years in data science, biostatistics, or clinical informatics; 5+ years in pharma, biotech, or healthcare. Preferred skills: experience with data specifications, clinical trial data analysis for regulatory purposes, CDISC standards (SDTM, ADaM), linked data, and semantic web standards (JSON-LD, RDF). High-value specifics: focus on clinical evidence management for digital platforms, supporting AI and healthcare decision-making. Collaboration with cross-functional teams, no explicit reporting line stated. Location: not specified, likely remote or hybrid given the nature of the role.