Senior AI Science Lead: Shape Next-Gen Drug Discovery

BioSpace; San Francisco (CA); Hybrid; USD 260,000 - 381,000; Full time

Benefits offered by this job

401(k)

Comprehensive health benefits

Vacation & leave benefits

Job summary

Lilly, in a Silicon Valley hub collaboration, seeks a Senior AI Science Lead to steer large-scale AI research advancing drug discovery. You will lead AI scientists and engineers, align scientific priorities with organizational goals, and transform breakthrough research into scalable capabilities, partnering with Lilly and NVIDIA teams.

The role demands a track record in leadership, strategic influence, and building AI programs in life sciences, with a focus on chemistry, biology, and genomics.

Qualifications

• PhD in a quantitative field with machine learning focus.
• 6+ years of post-PhD experience advancing ML research and leading programs.
• 3+ years leading scientific teams and hiring.
• Strong publication record in ML/AI venues.

Responsibilities

• Set scientific direction for large-scale AI research programs in life sciences.
• Lead AI scientists and engineers and partner with research labs and industry collaborators.
• Transform research into scalable capabilities accelerating drug discovery.
• Design and oversee multi-GPU, multi-node training and inference systems.

Skills

Scientific leadership

AI research leadership

Computational chemistry

Computational biology

Genomics

Molecular design

Python

PyTorch

Foundation models

Distributed compute

Model evaluation

Team mentoring

Education

PhD in ML/CS or related

Tools

Python

PyTorch

Job description

Lilly, in a Silicon Valley hub collaboration, seeks a Senior AI Science Lead to steer large-scale AI research advancing drug discovery. You will lead AI scientists and engineers, align scientific priorities with organizational goals, and transform breakthrough research into scalable capabilities, partnering with Lilly and NVIDIA teams.

The role demands a track record in leadership, strategic influence, and building AI programs in life sciences, with a focus on chemistry, biology, and genomics.