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Computational Modeling Engineer – Process Modeling at Eli Lilly and Company - ApplyBlast

Computational Modeling Engineer – Process Modeling

Eli Lilly and Company

2 months ago

4.0 on Glassdoor

Hyderabad, Telangana, India

Onsite

Full Time

Senior

0 applicants

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About this role

The Computational Modeling Engineer – Process Modeling role focuses on developing computational models to design new manufacturing processes and improve existing ones across Lilly's global network. This position involves creating digital twin models, applying first-principles concepts, and leveraging simulation techniques to enhance manufacturing capacity, compliance, and operational excellence. The engineer will collaborate with data leads and manufacturing teams to deliver rigorous technical solutions and advocate for model-based methods.

Responsibilities

Develop and deploy steady-state and dynamic process simulation models
Create multiphysics and CFD-based models of unit operations
Build Digital Twin computational models for manufacturing facilities

Skills

Qualifications

MS degree in Chemical EngineeringMS degree in Mechanical EngineeringM.Tech degree in Chemical EngineeringM.Tech degree in Mechanical EngineeringPhD in Chemical Engineering

About Eli Lilly and Company

lilly.com

Headquarters

Indianapolis, Indiana, United States

Company Size

10001+ employees

Founded

1876

View Profile

Eli Lilly and Company is a global biopharmaceutical company headquartered in Indianapolis, Indiana. It discovers, develops, manufactures and commercializes prescription medicines across therapeutic areas including diabetes, oncology, immunology, neuroscience and pain, and has a longstanding history in insulin and other major drug discoveries. Lilly invests heavily in research and clinical development and partners with biotech, academic institutions, and industry collaborators to advance biologics, small molecules, and precision medicines. The company operates global manufacturing and commercial networks and provides patient-support programs to improve access to its therapies.