Research Advisor – AI for Science, ADMET Intelligence
Job Description:
• 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 help iterate between modeling and experimental results
• Lead the development of scientific foundation models that integrate molecular design and biological data
• 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
Requirements:
• PhD with experience 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.)
• 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
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)
Apply Now
Apply Now
• 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 help iterate between modeling and experimental results
• Lead the development of scientific foundation models that integrate molecular design and biological data
• 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
Requirements:
• PhD with experience 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.)
• 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
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)
Apply Now
Apply Now