Generative AI - Data Scientists
Eli Lilly and Company is seeking a Generative AI - Data Scientist to lead the full lifecycle of machine learning initiatives, from data collection and preprocessing to model training and deployment. This role focuses on leveraging Natural Language Technology (NLT) platforms to derive insights from business data and developing language understanding/generation systems. The successful candidate will design and implement advanced analytics tools and optimize cloud-based ML solutions.
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 39,000 employees 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 globe.
This position is for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The key responsibilities will be to prepare modern Natural Language Technology (NLT) platforms to gain insights from key business data. The employee will be responsible for designing, implementing and managing data preparation and advanced analytics tools in addition to demonstrating insights from the varied sources of data to business users. Responsibilities also include developing and designing language understanding/generation systems and effectively using text representation techniques.
Our Advanced Analytical and Data Sciences organization is growing to support the entire Lilly enterprise, from Discovery to Development to Manufacturing and Commercialization of our medicines. We are playing a leading role in transforming the way the company discovers and develops new treatments, identifies personalized treatment regimens, drives efficiency in our operations and optimizes our commercialization of new products. We are doing this with an emphasis in the areas of machine learning and artificial intelligence, natural language processing and other approaches to unstructured data, advanced mathematical and predictive modeling, visual analytics and more.
Proven experience with the following:
Posted June 11, 2026