AI Scientist - Simulation & Forecasting

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.

As an AI Scientist in Indianapolis, IN
, you will analyze complex data sets, develop simulation models, leverage foundation models, and identify insights that can drive business decisions. You will work closely with cross‑functional teams across the enterprise to understand business problems, develop hypotheses, and test those hypotheses with data.

• Develop and implement machine learning algorithms to analyze large data sets
• Collaborate with stakeholders to understand business problems and provide data‑driven solutions
• Communicate insights and recommendations to technical and non‑technical stakeholders
• Conduct research to identify emerging trends and technologies
• Manage and prioritize multiple projects simultaneously

• Frame and solve complex business problems with simulation and AI
• Develop and implement scenario planning models
• Communicate insights and recommendations to stakeholders
• Collaborate with cross‑functional teams
• Stay up‑to‑date with emerging trends and technologies in simulation and AI
• Ensure data quality and accuracy

• Ph.D. in Computer Science, Applied Mathematics focusing on Numerical Analysis, High Performance Computing, Operations Research, Physics, Engineering, or a quantitative related field
• Or MS in Computer Science, Applied Mathematics focusing on Numerical Analysis, High Performance Computing, Operations Research, Physics, Engineering, or a quantitative related field with at least 5 years of related working experience developing simulation models and leveraging foundation models or forecasting.
• Experience with simulation and machine learning
• Proficiency in programming languages such as Python or R

• Experience with deep learning algorithms and reinforcement learning
• Excellent communication and presentation skills
• People management or consulting experience
• Experience with simulation platforms like Anylogic
• Experience in consulting, bio‑tech, finance, or pharmaceutical

• Must be willing to relocate.
• Schedule will be hybrid (3 days onsite at the Lilly Corporate Center)

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form  for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include:
Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $151,500 - $244,200. Full‑time equivalent employees also will be eligible for a company bonus (depending, in part, on…