Computational Modeling Engineer – Process Modeling

Overview

Computational Modeling Engineer – Process Modeling will develop computational and Digital Twin models to support decisions for designing and improving manufacturing processes across Lilly’s global network.

What you'll do

• Develop and deploy steady-state and dynamic process simulation models for process design and improvements.
• Create multiphysics and CFD-based models for unit operations to inform scale-up and troubleshooting.
• Build Digital Twin computational models to provide online modeling capabilities for manufacturing facilities.
• Interpret modeling results using first-principles physics and numerical methods.
• Support model-based solutions with laboratory investigation and empirical validation when needed.
• Prepare technical reports and contribute to the product/process body of knowledge, including external publication/presentation when appropriate.

What you'll need

• Requires a minimum MS degree in Chemical Engineering, Mechanical Engineering, or a related field.
• PhD with 4 years or Masters with 4–8 years of related work experience.
• Experience developing steady-state simulation, dynamic simulation, CFD, or nonlinear programming process models.
• Working knowledge of transport phenomena, thermodynamics, and numerical methods for process/multiphysics models.
• Strong technical writing and presentation skills.
• Capability to solve complex issues with minimal supervision.

Details

• Location: Lilly Hyderabad (Manufacturing & Quality Technical Hub, Hyderabad).
• Global role supporting all Lilly Manufacturing sites globally.