Role: Computational Modeling Engineer – Discrete Manufacturing Modeling

Exp: 4 – 8 Years if they have PhD, 8 – 15 Years if they have MS

Location : Hyderabad (should be willing to relocate and work on Hybrid model)

Position Description and Responsibilities

The Computational Modeling Engineer – Discrete Manufacturing Modeling will provide deep modeling expertise and develop computational models that drive decisions to design recent manufacturing systems and improve existing ones across Lilly's global manufacturing network.

This role focuses on the dynamics of discrete manufacturing operations — parenteral fill/finish, device assembly, packaging, and material handling — applying modeling techniques across discrete event simulation, capacity and throughput analysis, line balancing, scheduling, and resource/operational logistics optimization.





A core focus of the role is the development of Digital Twin computational models — including discrete event and optimization-based representations — that provide online modeling capabilities to manufacturing facilities, in alignment with the Engineering Digital Strategy for Manufacturing and Quality within Lilly.

This is a global role, supporting functional initiatives and all Lilly Manufacturing sites globally.

Basic Qualifications

- PhD with 4-8 years of experience or MS degree with 8-15 years of experience in Industrial Engineering, Operations Research, Chemical Engineering, Mechanical Engineering, or a related field.
- Minimum of 4 years of related work experience (graduate research included).
- Experience developing models in one or more of the following: discrete event simulation, nonlinear programming, mixed-integer linear programming, or dynamic simulation of discrete systems.
- Demonstrated working knowledge of queueing theory, stochastic processes, and the numerical/optimization methods from which discrete event and optimization models are formulated and solved.

📌 Computational Modeling Engineer (Hyderabad)
🏢 Recruise India Consulting
📍 Hyderabad