Associate Vice President, Data Foundry
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About The Position
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Lilly Small Molecule Discovery is an organization purpose-built to create molecules that make life better for people. We focus on using cutting edge science to unlock new approaches that can treat people suffering from diseases with poor treatment options. We continually challenge ourselves to deliver molecules that can provide breakthrough efficacy with the highest possible safety margins. We are dedicated to optimizing our mindset, technology, and processes for faster, more nimble execution. Our success is built on a culture that empowers innovative problem solving through open collaboration and individual accountability. The Data Foundry, AVP will lead a multidisciplinary team dedicated to enabling and accelerating molecule discovery through scalable and reproducible data generation, fueled by advanced scientific computing, informatics and automation solutions. The leader will also oversee the design, implementation and validation of AI agent-compatible automation systems. This leader will be responsible for defining and executing a strategic vision for data generation, informatics systems and lab automation that serve as the foundation for AI-native discovery. They will partner closely with scientists, technologists, and data science teams across Lilly to ensure the right data is generated, captured, structured, and made accessible at scale. This role is critical to enabling the next generation of AI-powered drug discovery through the development of trusted, high-resolution, machine-actionable data.
