Director - RNA AI​/ML scientist

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.

We are seeking an accomplished RNA AI/ML scientific leader to join our team and drive high‑visibility research in RNA therapeutics. The Lilly Genetic Medicine (LGM) organization is an innovation‑focused group dedicated to identifying, developing, and applying cutting‑edge technologies to maximize patient benefit. As part of LGM, the Data Science and AI/ML team partners closely with experimental scientists across disciplines, providing scientific leadership in study design, protocol development, and data‑driven decision‑making to accelerate drug discovery.

In this role, you will provide scientific and strategic leadership in shaping the AI/ML strategy for RNA therapeutics discovery. You will partner with global experimental and computational scientists, statisticians, data scientists, AI/ML experts, and IT professionals to define priorities, guide execution, and deliver AI/ML solutions that advance Lilly’s molecule discovery efforts.

• Set technical and scientific direction for the design, implementation, and optimization of AI/ML models to accelerate RNA‑based drug discovery
• Define and advance a unified modeling platform that leverages data across programs and modalities to accelerate the design of next‑generation RNA therapeutics, ensuring every experiment contributes to reusable data assets
• Lead the integration and interpretation of large‑scale datasets, including internal and external in vitro, in vivo, and ADME/Tox data, to generate actionable biological insights
• Collaborate with cross‑functional teams to enable the identification of optimal combinations of sequence/chemistry to address on‑target potency and off‑target liability.
• Partner with matrixed functions across Lilly to develop, deploy, and scale AI‑driven data analysis pipelines for high‑throughput experimentation
• Design AI/ML workflows that integrate with automated experimental platforms, including high‑throughput screening and robotic DMTA cycles, to enable closed‑loop optimization
• Continuously evaluate and introduce emerging AI/ML methodologies to strengthen RNA discovery workflows and organizational capabilities
• Synthesize and communicate complex findings through clear visualizations and presentations
• Serve as a scientific leader and contribute to project, governance, and management discussions
• Mentor and develop junior computational scientists, fostering technical growth and building organizational AI/ML capabilities across the enterprise

• PhD in computational biology, bioinformatics, computer science, statistics, integrated biomedical sciences, or a closely related field, plus 8+ years’ experience in pharma or biotech, with demonstrated scientific leadership in a drug discovery AI/ML function.

• Demonstrated track record applying AI/ML approaches to solve complex biological or pharmaceutical problems in drug discovery, preferably in RNA therapeutics
• Extensive experience with high‑throughput, high‑dimensional, and high‑volume data analysis, including large‑scale NGS data integration and interpretation
• Proficiency in programming languages such as Python, R, or similar tools relevant to data science and bioinformatics
• Strong written and verbal communication skills, with the ability to convey complex concepts to diverse scientific and non‑scientific audiences
• Proven ability to operate effectively in multidisciplinary, cross‑functional environments and influence outcomes
• Self‑directed scientific leader with strong learning agility
• Advanced problem‑solving and troubleshooting capabilities
• Extensive experience…