Sr. AI Science Lead

Scorpion Therapeutics; South San Francisco (CA); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

AI in drug discovery

Large-scale model training

Computational chemistry/biology

Foundation models

Multi-disciplinary leadership

Silicon Valley location with hybrid

Job summary

Eli Lilly seeks a Senior AI Science Lead in California to define the scientific direction and technical strategy for foundation and frontier AI models trained on Lilly's chemical and biological data. You will build and mentor diverse teams across AI, chemistry, and biology, driving discovery workflows and collaboration with internal teams and external partners.

You will design and deploy next-generation AI architectures, manage large-scale multi-GPU training, and translate research into tangible

Qualifications

• PhD in Machine Learning, Computational Chemistry, Biology, or related field.
• 6+ years of post-PhD research leadership.
• 3+ years leading scientific teams.
• Proven track record in foundational models, generative AI, and distributed training.
• Expertise in Python, PyTorch, and machine learning methodologies.
• Strong understanding of drug discovery workflows.

Responsibilities

• Define scientific direction and technical strategy for foundation and frontier AI models trained on Lilly's chemical and biological data.
• Lead design of discovery learning cycles.
• Develop next-generation AI architectures.
• Oversee large-scale multi-GPU training systems.
• Build and mentor high-performing teams of AI scientists, engineers, chemists, and biologists.
• Translate research into scientific impact through collaboration with internal teams and external partners.

Skills

Research leadership

Team mentoring

Strategic thinking

Cross-disciplinary collaboration

Education

PhD in Machine Learning, Computational Chemistry, Biology, or related field

Tools

Python

PyTorch

Distributed training

Generative AI

ML methodologies

Job description

Role: Senior AI Science Lead in Lilly's AI-driven drug discovery partnership with NVIDIA, focusing on large-scale AI research to advance medicine development.

Responsibilities

• define scientific direction and technical strategy for foundation and frontier AI models trained on Lilly's chemical and biological data
• lead design of discovery learning cycles
• develop next-generation AI architectures
• oversee large-scale multi-GPU training systems
• build and mentor high-performing teams of AI scientists, engineers, chemists, and biologists
• translate research into scientific impact through collaboration with internal teams and external partners

Requirements

• PhD in Machine Learning, Computational Chemistry, Biology, or related field
• 6+ years of post-PhD research leadership
• 3+ years leading scientific teams
• proven track record in developing foundational models, generative AI, and distributed training
• expertise in Python, PyTorch, and machine learning methodologies
• strong understanding of drug discovery workflows

High Value

• AI in drug discovery
• large-scale model training
• computational chemistry/biology
• foundation models
• multi-disciplinary leadership
• Silicon Valley location with hybrid flexibility

Collaboration: works closely with Lilly Research Labs, engineering, and external partners like NVIDIA.