Applied AI Engineer, Clinical Informatics

Eli Lilly and Company

Applied AI Engineer leading research at the intersection of clinical trial datasets and biobank data. Developing AI applications to improve clinical research outcomes at Eli Lilly.

Posted 5/24/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $181,500 - $283,800 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop and deploy agentic AI applications for clinical data interaction
Build systems to extract patient phenotypes from clinical trial databases
Construct AI and ML systems for data management and analysis
Evaluate and monitor model performance in production
Build pipelines for clinical trial databases

Requirements

What you’ll need

M.S. in Biomedical Informatics, Computational Biology, Bioinformatics, Statistical Genetics, Epidemiology, or a closely related quantitative field with 6+ years of research experience in clinical trial datasets or biobank data
Ph.D. in related fields with 3+ years of experience
Expert proficiency in Python and/or R
Strong command of SQL
Familiar with advanced generative AI methods
Deep knowledge of CDISC standards

Benefits

Comp & perks

eligibility to participate in a company-sponsored 401(k)
pension
vacation benefits
eligibility for medical, dental, vision and prescription drug benefits
flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
life insurance and death benefits
certain time off and leave of absence benefits
well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonRSQLAI applicationsML systemsdata managementdata analysismodel performance evaluationdata extractionpipeline construction

Certifications

M.S. in Biomedical InformaticsM.S. in Computational BiologyM.S. in BioinformaticsM.S. in Statistical GeneticsM.S. in EpidemiologyPh.D. in related fields