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AI Agents Engineer Molecule Discovery - San Diego California
Company: Eli Lilly and Company Location: San Diego, California
Posted On: 01/21/2025
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.Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $63,000 - $92,400.The Discovery Chemistry Research and Technologies (DCRT) organization within Lilly Research Labs is a small-molecule drug discovery organization with responsibilities spanning target identification to candidate selection for clinical studies. We are looking to grow our diverse team of scientists.Position SummaryWe seek a motivated researcher with expertise in Large Language Models and an interest in planning and decision-making algorithms to join Lilly's Discovery Chemistry Research and Technologies (DCRT) organization. You will evaluate commercial and open-source AI agentic platforms to determine their applicability and effectiveness in optimizing chemistry and bioinformatics workflows. Your work will accelerate our medicine discovery processes by identifying and integrating the most suitable AI tools.This position offers the opportunity to work at the forefront of AI-driven drug discovery, collaborating with experts across AI@Lilly and Tech@Lilly. Your efforts will directly impact the development of life-changing medicines.Key Responsibilities - Assess and compare commercial and open-source AI agent frameworks for optimizing chemistry and bioinformatics workflows.
- Contribute to engineering systems that enable cross-disciplinary agentic system development.
- Collaborate with cross-functional teams to integrate selected AI agent frameworks into existing workflows.Basic Qualifications
- BS/MS in Computer Science, Computational Chemistry, Bioinformatics, Engineering or a related field.
- Familiarity with agent-based modeling and agentic frameworks in scientific domains.
- Demonstrated experience in LLM engineering through coursework and portfolio projects.
- Familiarity with developing on cloud computing platforms (e.g., AWS, Azure).Additional Skills/Preferences
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