Computational Modeling Engineer – Process Modeling
Eli Lilly
- Location
- Hyderabad, Telangāna, India
- Employment
- Full Time
- Work model
- On-Site
- Level
- Mid
- Posted
- Aug 21, 2026
About this role
At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us. Computational Modeling Engineer – Process Modeling About Lilly At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us. Manufacturing & Quality Technical Hub, Hyderabad Lilly's Hyderabad hub is a first-of-its-kind technical center built to lead the manufacturing and quality science agenda for Lilly's global supply network, and the work done here reaches patients in more than 110 countries. This hub oversees contract manufacturing of starting materials and intermediates for API manufacturing in India, managing the full scientific agenda for manufacturing and quality. We're building a cutting-edge scientific organization and looking for top talent in process engineering, chemistry, analytical and data sciences to be part of it. The science you develop here doesn't stay here. It moves through Lilly's global supply network and reaches patients across more than 110 countries who are counting on it.
About the Role
Digital Manufacturing Engineering Digital Manufacturing Engineering (DME) is part of the Corporate Engineering Tech Center (ETC). The ETC is a technical resource for training, standards, project implementation, and the center of engineering excellence for the corporation, providing deeply technical resources to solve the most intractable technical problems in manufacturing. DME provides Digital Engineering Platform ownership, OT data integration solutions, engineering data standardization/ownership, and digital manufacturing solutions for Lilly Manufacturing. Our team focuses on connecting our facilities (securely) and leveraging the data from those facilities to deliver digital manufacturing solutions to improve manufacturing productivity, data integrity / compliance, quality, and operational excellence. Digital Manufacturing Technologies include digital twins, computational modeling, edge/IoT, and analytics solutions. Digital Engineering Platforms include CMMS (Computerized Maintenance Management System), GECMS (Global Engineering Content Management System) and many other digital platforms leveraged by engineers across Lilly Manufacturing.
Position
Description and Responsibilities The Computational Modeling Engineer – Process Modeling will provide deep modeling expertise and develop computational models that drive decisions to design new manufacturing processes and improve existing ones across Lilly's global manufacturing network. This role focuses on the physics of continuous and batch process operations, applying modeling techniques across physical properties, unit operations (mixing, heat transfer, mass transfer, reaction, separation, filtration), scale-up, and numerical/multiphysics simulation. A core focus of the role is the development of Digital Twin computational models — including