Advisor/ Sr. Advisor - AI for Science (ADMET Intelligence)
Eli Lilly and Company, Boston, MA, United States
Job Title: Research Advisor/Sr. Advisor – AI for Science (ADMET Intelligence)
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, supporting hypothesis testing and iterating 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., GNNs, Transformers).
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.
Compensation & Benefits 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). Lilly offers a comprehensive benefit program including eligibility for a company‑sponsored 401(k), pension, vacation benefits, medical, dental, vision and prescription drug benefits, flexible benefits, life insurance, death benefits, leave of absence, and well‑being benefits.
EEO Statement 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.
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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, supporting hypothesis testing and iterating 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., GNNs, Transformers).
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.
Compensation & Benefits 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). Lilly offers a comprehensive benefit program including eligibility for a company‑sponsored 401(k), pension, vacation benefits, medical, dental, vision and prescription drug benefits, flexible benefits, life insurance, death benefits, leave of absence, and well‑being benefits.
EEO Statement 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.
#J-18808-Ljbffr