Advisor - Computational Modeling Engineer

Lilly • Indianapolis, IN

7d • Onsite

About The Position

Lilly is a global healthcare leader headquartered in Indianapolis, Indiana, dedicated to uniting caring with discovery to make life better for people worldwide. The company is at a critical juncture, expanding its product pipeline and investing in innovative technologies like continuous processing, biotech platforms, and advanced data/control systems. Digital Manufacturing Engineering (DME), part of the Corporate Engineering Tech Center (ETC), focuses on providing digital engineering platform ownership, OT data integration, engineering data standardization, and digital manufacturing solutions to enhance manufacturing productivity, data integrity, quality, and operational excellence. The team leverages digital twins, computational modeling, edge/IoT, and analytics to connect facilities and utilize data effectively.

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.
• Ability to work well across different cultures and global manufacturing sites.

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.

Responsibilities

• Provide diverse modeling expertise and develop computational models that drive decisions to design new manufacturing processes and improve existing ones across Lilly's global manufacturing network.
• Apply modeling techniques across a broad range of domains including physical properties, unit operations, scale-up, numerical and multiphysics simulation, discrete event simulation, and resource and operational logistics optimization.
• Support both continuous/batch process operations and discrete manufacturing operations such as parenteral fill/finish, device assembly, and packaging.
• Develop Digital Twin computational models that provide online modeling capabilities to manufacturing facilities, aligning with the Engineering Digital Strategy for Manufacturing and Quality.
• Develop and deploy simulation and optimization models to drive decisions that help design new and/or improve existing manufacturing and logistics processes.
• Develop Digital Twin computational models to provide online modeling capabilities to Lilly manufacturing facilities.
• Prepare internal technical reports to document work and 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.
• 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 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