Advisor - Computational Modeling Engineer

Eli Lilly and Company • Us, IN

6d • Onsite

About The Position

Lilly is seeking an Advisor - Computational Modeling Engineer to join the Corporate Engineering Tech Center (ETC), specifically within Digital Manufacturing Engineering (DME). This role will provide diverse modeling expertise and develop computational models to drive decisions for designing new manufacturing processes and improving existing ones across Lilly's global manufacturing network. The position supports both continuous/batch and discrete manufacturing operations, with a core focus on developing Digital Twin computational models for online capabilities in manufacturing facilities, aligning with Lilly's Engineering Digital Strategy. This is a global role supporting functional initiatives and all Lilly Manufacturing sites.

Requirements

• Minimum MS degree in Chemical Engineering, Mechanical Engineering, Industrial Engineering, Operations Research, 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: steady-state simulation, dynamic simulation, computational fluid dynamics (CFD), discrete event simulation, nonlinear programming, or mixed-integer linear programming.
• Demonstrated working knowledge of the underlying physics, first-principles concepts, and numerical methods from which computational models are formulated and solved.

Nice To Haves

• Strong technical writing and presentation skills.
• Capability to solve complex issues with minimal supervision.
• Experience with chemical process modeling, scale-up, and unit operation simulation.
• Experience with capacity analysis, line balancing, scheduling, or logistics optimization in a manufacturing environment.
• Experience developing simulation and optimization models leveraging commercial software tools such as ANSYS-Fluent®, M-Star®, COMSOL®, aspenONE®, AFT Fathom®, ExtendSim®, or Frontline Solver®.
• Experience with statistical analysis and data/model fitting leveraging commercial software tools such as JMP® or similar.
• Experience developing digital twins of manufacturing processes or production lines.
• Experience working with validated systems and in a GMP/pharmaceutical industry environment.
• Ability to work well across different cultures and global manufacturing sites.

Responsibilities

• Develop and deploy simulation and optimization models to drive decisions that help design new and/or improve existing manufacturing and logistics processes.
• Apply a broad range of modeling techniques as appropriate to the problem — including steady-state and dynamic process simulation, computational fluid dynamics (CFD) and multiphysics simulation, discrete event simulation, and nonlinear/mixed-integer optimization — across both continuous/batch and discrete manufacturing domains.
• Develop Digital Twin computational models to provide online modeling capabilities to Lilly manufacturing facilities.
• Deliver sound interpretation of modeling results by maintaining in-depth knowledge of the underlying physics, first-principles concepts, and numerical methods from which models are formulated and solved.
• Complement model-based solutions with laboratory investigation, empirical validation, or validation against site operating data when appropriate.
• Prepare internal technical reports to document work and to contribute to the product or process body of knowledge, and when appropriate, publish and/or present work externally.
• Maintain and grow the functional value of modeling within Lilly by developing appropriate internal collaborations and sharing key learnings broadly at appropriate internal forums so colleagues can identify projects that may benefit from model-based analysis.
• Foster the use of modeling tools by colleagues outside DME by providing instruction, consultation, and continuously advocating the use of first-principles techniques and model-based methods.
• Identify and implement modeling advances that bring value to Lilly by maintaining awareness of new developments in the external modeling landscape.
• Develop collaborations with appropriate external partners to help manage workload and to gain additional expertise.
• Partner with data leads within DME to provide data requirements that support computational models and Digital Twin solutions.

Benefits

• company bonus (depending, in part, on company and individual performance)
• company-sponsored 401(k)
• pension
• vacation benefits
• medical, dental, vision and prescription drug benefits
• flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
• life insurance and death benefits
• certain time off and leave of absence benefits
• well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior