Senior AI Science Lead - Hybrid, Drug Discovery

Eli Lilly and Company; California; Hybrid; USD 180,000 - 250,000; Full time

Benefits offered by this job

Hybrid work (3 onsite/2 remote)

Job summary

Lilly is seeking a Senior AI Science Lead to set scientific direction and technical strategy for large-scale AI research programs advancing drug discovery. You will lead a team across computational chemistry, genomics, and related areas to translate research into scalable capabilities.

The role requires a PhD in ML/related fields, 6+ years of leadership in ML research, expertise in foundation models and PyTorch, and a strong publication track record.

Qualifications

• PhD in machine learning, computational chemistry, biology, or related field.
• 6+ years in advanced ML research with leadership experience.
• Expertise in foundation models, self-supervised learning, generative AI.

Responsibilities

• Lead a team of AI scientists and engineers across computational chemistry, genomics, and related areas.
• Shape AI model architectures, training paradigms, and evaluation frameworks.
• Translate research into scalable, impactful capabilities.

Skills

Python

PyTorch

Leadership

Foundation models

Self-supervised learning

Education

PhD in ML, computational chemistry, biology, or related field

Tools

ML frameworks

Job description

Lilly is seeking a Senior AI Science Lead to set scientific direction and technical strategy for large-scale AI research programs advancing drug discovery. You will lead a team across computational chemistry, genomics, and related areas to translate research into scalable capabilities.

The role requires a PhD in ML/related fields, 6+ years of leadership in ML research, expertise in foundation models and PyTorch, and a strong publication track record.