AVP, Generative Biotherapeutics Design & Optimization

100 Eli Lilly and Company; San Diego (CA); On-site; USD 267,000 - 392,000; Full time

Benefits offered by this job

Bonus eligibility

401(k) plan

Health, dental, vision benefits

Job summary

Lilly Biotechnology Center in San Diego is seeking an AVP of Generative Design & Optimization to lead AI-driven biotherapeutics discovery. The role focuses on building a scalable design platform combining AI/ML, structure biology, and high-throughput experiments to create novel therapeutic antibodies and proteins.

Based in San Diego, the role drives end-to-end design pipelines, collaborates with discovery and automation teams, and shapes data strategy to accelerate therapeutic discovery while

Qualifications

• Ph.D. in computer science, computational biology, bioengineering, chemistry, physics, or a related STEM field.
• 5+ years post-Ph.D. research experience (or MS with 10+ years).
• At least 3 years of experience leading scientists or engineers as a formal people manager.
• Demonstrated experience leading computational or generative molecular design campaigns with experimental validation.
• Proficiency in Python and a modern deep learning framework, with working knowledge of GPU-based computing.

Responsibilities

• Advance generative molecule design and translate design intent into explicit computational specs.
• Define sampling, search, and scoring strategy to maximize design quality and portfolio impact.
• Lead multi-objective optimization across binding, kinetics, developability, and therapeutic attributes.
• Define data strategy to convert internal/external data into design-ready assets.
• Build end-to-end design pipelines spanning epitope definition to experimental nomination.
• Represent the organization as a scientific leader and drive cross-functional alignment.

Skills

Python programming

Deep learning

Team leadership

Education

PhD in STEM

MS with 10+ years experience

Tools

GPU-based computing

Deep learning framework

Job description

Lilly Biotechnology Center in San Diego is seeking an AVP of Generative Design & Optimization to lead AI-driven biotherapeutics discovery. The role focuses on building a scalable design platform combining AI/ML, structure biology, and high-throughput experiments to create novel therapeutic antibodies and proteins.

Based in San Diego, the role drives end-to-end design pipelines, collaborates with discovery and automation teams, and shapes data strategy to accelerate therapeutic discovery while