Director – AI Evidence Registry

Eli Lilly and Company

. Develop and maintain a structured, AI-ready corpus of Lilly clinical evidence .

Posted 9/15/2026full-timeRemote • United StatesLead💰 $177,000 - $308,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI-ready clinical evidence corpora and optimizing data for large language model retrieval. Proficient in regulatory compliance, data standards, and mentoring technical teams in a pharmaceutical or healthcare context.

Highest-signal resume keywords

Masters Degree In Data Sciences8 Years Of Experience In Data ScienceExperience With CDISC Data StandardsExperience Authoring Data SpecificationsExperience With Linked Data Standards

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ProgrammingBiostatisticsClinical InformaticsData Specification AuthoringAnalysis Dataset ProductionClinical Trial Data AnalysisData Standards SettingVocabulary DesignSchema Design

Soft Skills

Mentoring Technical StaffCollaboration With Business Units

Tools & Technologies

JSON-LDRDFOWLSHACL

Industry Keywords

PharmaceuticalBiotechnologyMedical DeviceHealthcare ProviderRegulatory Submissions

About the role

Key responsibilities & impact

Develop and maintain a structured, AI-ready corpus of Lilly clinical evidence
Optimize clinical evidence for accurate retrieval and interpretation by large language models
Partner with business units and relevant teams to define registry standards and quality controls
Determine which evidence is eligible for external release
Work with legal and regulatory teams to confirm disclosure status and non-promotional standards before delivery
Keep the registry current as new clinical evidence emerges

Requirements

What you’ll need

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 of experience in pharmaceutical, biotechnology, medical device, or healthcare provider settings
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
Experience setting technical standards or mentoring other technical staff without formal reporting lines

Benefits

Comp & perks

Company bonus depending, in part, on company and individual performance
Company-sponsored 401(k)
Pension
Vacation benefits
Medical benefits
Dental benefits
Vision benefits
Prescription drug benefits
Flexible benefits, including healthcare and/or dependent day care flexible spending accounts
Life insurance and death benefits
Time off and leave of absence benefits
Well-being benefits, including employee assistance program, fitness benefits, and employee clubs and activities
Employee resource groups open to all employees