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Eli Lilly and Company

Research Advisor - AI for Science (ADMET Intelligence)

Reposted 3 Hours Ago
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In-Office
5 Locations
152K-244K Annually
Senior level
In-Office
5 Locations
152K-244K Annually
Senior level
Develop and apply AI/ML models (e.g., GNNs, Transformers) to drive drug discovery, collaborate with experimental scientists to iterate models and experiments, lead foundation-model development integrating molecular and biological data, publish findings, and work with MLOps/Data Engineering to transition prototypes into scalable tools.
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At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Job Title: Research Advisor – AI for Science (ADMET Intelligence)

Organization Overview

Lilly is a global healthcare leader headquartered in Indianapolis, Indiana. Our 45,000+ employees around the world work to discover and bring life-changing medicines to those who need them. At Lilly, the Investigative ADME, Toxicology and BioAnalytical Research team focuses on drug discovery using cutting-edge science and technology approaches to treat diseases with poor treatment options.

Position Summary

We are seeking a Research Advisor to reimagine the next generation of drug discovery at Lilly. Sitting at the intersection of AI/ML, Chemistry, and Biology, you will pioneer state-of-the-art technologies that fundamentally change how we understand biology and navigate chemical space, turning breakthroughs in AI/ML into life-saving medicine. Geography for this position is flexible.

What You Will Do

  • Drive drug discovery programs by developing and applying innovative AI/ML models.
  • Collaborate closely with experimental scientists to connect computational predictions with lab experiments. You will support hypothesis testing and help iterate between modeling and experimental results.
  • Lead the development of scientific foundation models that integrate molecular design and biological data, gaining experience with approaches that support decision‑making across the drug discovery pipeline.
  • Advance the field by publishing findings in top-tier venues and representing Lilly at the forefront of the global AI4Science community.
  • Work with MLOps and Data Engineering partners to help transition research prototypes into scalable tools, learning guidelines for building reusable and reliable AI/ML solutions for discovery teams.

Who You Are

You are an AI/ML researcher who is motivated to solve the hardest challenges in drug discovery.

Minimum Qualifications:

  • PhD in Computer Science, Machine Learning, Statistics, Computational Chemistry, Computational Biology, Physics, or a Scientific field.
  • Innovation in science evidenced by first-author publications in high-impact journals or top-tier ML conferences.
  • Experience in modern AI/ML frameworks and architectures relevant to molecular data (e.g. GNN, Transformers etc.).

Preferred Qualifications:

  • Demonstrated ability to translate chemistry and biology problems into machine learning formulations.
  • Experience collaborating with lab scientists to develop AI/ML solutions that drive the next cycle of experimentation and model refinement

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.


Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location.  The anticipated wage for this position is

$151,500 - $244,200

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including 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; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly

Top Skills

Gnn,Graph Neural Networks,Transformers,Mlops,Data Engineering

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