Advisor/ Sr. Advisor - AI for Science (ADMET Intelligence)
Eli Lilly and Company
6 months ago
Remote friendly (Boston, MA)
United States
IT
Job Title: Research Advisor/Sr. Advisor – AI for Science (ADMET Intelligence)
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; support hypothesis testing and iterate between modeling and experimental results.
- Lead the development of scientific foundation models integrating molecular design and biological data to enable decision-making across the drug discovery pipeline.
- Advance the field by publishing findings in top-tier venues and representing Lilly in the global AI4Science community.
- Work with MLOps and Data Engineering partners to transition research prototypes into scalable tools; learn and apply guidelines for reusable, reliable AI/ML solutions for discovery teams.
Who You Are
- An AI/ML researcher 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.
- First-author publications in high-impact journals or top-tier ML conferences.
- Experience with modern AI/ML frameworks and architectures relevant to molecular data (e.g., GNNs, Transformers).
Preferred Qualifications
- Ability to translate chemistry and biology problems into machine learning formulations.
- Experience collaborating with lab scientists to develop AI/ML solutions that drive experimentation cycles and model refinement.
Benefits (as listed)
- Anticipated wage: $151,500 - $244,200.
- Eligibility for company bonus (depending on company and individual performance).
- Comprehensive benefits including 401(k), pension, vacation, medical/dental/vision/prescription drug, flexible benefits, life insurance, time off/leave, and well-being benefits.
Application Instructions
- If you require accommodation to submit a resume, complete the workplace accommodation request form: https://careers.lilly.com/us/en/workplace-accommodation
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; support hypothesis testing and iterate between modeling and experimental results.
- Lead the development of scientific foundation models integrating molecular design and biological data to enable decision-making across the drug discovery pipeline.
- Advance the field by publishing findings in top-tier venues and representing Lilly in the global AI4Science community.
- Work with MLOps and Data Engineering partners to transition research prototypes into scalable tools; learn and apply guidelines for reusable, reliable AI/ML solutions for discovery teams.
Who You Are
- An AI/ML researcher 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.
- First-author publications in high-impact journals or top-tier ML conferences.
- Experience with modern AI/ML frameworks and architectures relevant to molecular data (e.g., GNNs, Transformers).
Preferred Qualifications
- Ability to translate chemistry and biology problems into machine learning formulations.
- Experience collaborating with lab scientists to develop AI/ML solutions that drive experimentation cycles and model refinement.
Benefits (as listed)
- Anticipated wage: $151,500 - $244,200.
- Eligibility for company bonus (depending on company and individual performance).
- Comprehensive benefits including 401(k), pension, vacation, medical/dental/vision/prescription drug, flexible benefits, life insurance, time off/leave, and well-being benefits.
Application Instructions
- If you require accommodation to submit a resume, complete the workplace accommodation request form: https://careers.lilly.com/us/en/workplace-accommodation