Advisor/ Sr. Advisor - AI for Science (ADMET Intelligence)
Eli Lilly and Company
6 months ago
Remote friendly (San Diego, CA)
United States
IT
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 with experimental scientists to connect computational predictions with lab experiments; support hypothesis testing and iterate between modeling and experimental results.
- Lead development of scientific foundation models integrating molecular design and biological data to enable decision-making across the drug discovery pipeline.
- Publish findings in top-tier venues and represent Lilly within the AI4Science community.
- Partner with MLOps and Data Engineering to transition prototypes into scalable tools; learn guidelines for reusable, reliable AI/ML solutions.
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 molecular-data architectures (e.g., GNNs, Transformers).
Preferred Qualifications
- Ability to translate chemistry/biology problems into ML formulations.
- Experience collaborating with lab scientists to drive iterative experimentation and model refinement.
Compensation & Benefits (if eligible)
- Anticipated wage: $151,500–$244,200; company bonus eligibility (based on performance).
- 401(k), pension, vacation; medical/dental/vision/prescription; flexible benefits; life/death benefits; time off/leave; well-being benefits.
What You Will Do
- Drive drug discovery programs by developing and applying innovative AI/ML models.
- Collaborate with experimental scientists to connect computational predictions with lab experiments; support hypothesis testing and iterate between modeling and experimental results.
- Lead development of scientific foundation models integrating molecular design and biological data to enable decision-making across the drug discovery pipeline.
- Publish findings in top-tier venues and represent Lilly within the AI4Science community.
- Partner with MLOps and Data Engineering to transition prototypes into scalable tools; learn guidelines for reusable, reliable AI/ML solutions.
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 molecular-data architectures (e.g., GNNs, Transformers).
Preferred Qualifications
- Ability to translate chemistry/biology problems into ML formulations.
- Experience collaborating with lab scientists to drive iterative experimentation and model refinement.
Compensation & Benefits (if eligible)
- Anticipated wage: $151,500–$244,200; company bonus eligibility (based on performance).
- 401(k), pension, vacation; medical/dental/vision/prescription; flexible benefits; life/death benefits; time off/leave; well-being benefits.