Senior Advisor – AI for Science, ADMET Intelligence
Eli Lilly and Company
full-time
Posted on:
Location Type: Hybrid
Location: Indianapolis • California • Colorado • United States
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Salary
💰 $151,500 - $244,200 per year
Job Level
About the role
- Computational lead for drug discovery programs
- Work side-by-side with experimentalists to develop active learning cycles
- Translate sophisticated biological and chemistry questions into tractable computational problems
- Identify specific bottlenecks in the discovery pipeline
- Partner deeply with medicinal chemists, DMPK scientists, and biologists
- Foster a culture where technical excellence meets scientific pragmatism
- Mentor junior scientists on AI/ML integration
- Scout and evaluate external technologies
Requirements
- PhD in a quantitative discipline (Computer Science, Chemistry, Physics, Biology etc.) with a strong focus on molecular sciences
- 3+ years of post-graduation industry experience in a drug discovery environment
- Solid understanding of medicinal chemistry, ADME, and Tox principles
- Expert proficiency in modern AI/ML
- First-author publications in high-impact venues
- Track-record where your computational contributions directly influenced the progression of a molecule or the strategy of a discovery program
- Demonstrated ability to translate complex technical concepts into strategic value for senior leadership and cross-functional partners
Benefits
- 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)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AIMLcomputational modelingdata analysismolecular dynamicsalgorithm developmentstatistical analysisbioinformaticsmachine learning techniquescomputational chemistry
Soft Skills
mentoringcollaborationcommunicationproblem-solvingleadershipstrategic thinkingtechnical excellencescientific pragmatismcross-functional teamworkinfluencing
Certifications
PhD in quantitative discipline