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Director – AI Evidence Registry

🕒 September 15

🇺🇸 United States – Remote

💵 $177k - $308k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

Where this job comes from

Posted on Eli Lilly and Company's careers page, not through a job board

First seen by Remote Rocketship September 15

Still open on Eli Lilly and Company's site. Checked 1 hour ago.

Logo of Eli Lilly and Company

Eli Lilly and Company

10,000+ employees

💊 Pharmaceuticals

🏥 Healthcare

🧬 Biotechnology

💰 $6.5M Post-IPO Debt - Eli Lilly on 2024-02

Pharmaceuticals • Healthcare • Biotechnology

Eli Lilly and Company is a multinational pharmaceutical company that researches, develops, manufactures, and markets prescription medicines across multiple therapeutic areas including diabetes, oncology, immunology, neuroscience, and pain. Headquartered in Indianapolis, Indiana, Lilly is known for its extensive R&D, clinical development, and global commercialization of biologic and small-molecule drugs. The company focuses on drug discovery, clinical trials, regulatory approvals, and large-scale pharmaceutical manufacturing and distribution.

📋 Description

• 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

• 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

• 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

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