Engineering Advisor - Computational Modeling

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.

Overview:

The Digital Manufacturing Engineering (DME) Team is a group of skilled engineering practitioners who possess deep technical expertise and have access to appropriate lab facilities. The DME partners globally with manufacturing site process and plant engineers, corporate function engineers, and development engineers/scientists to provide rigorous technical solutions.

This role will provide diverse modeling expertise and techniques in a variety of areas including physical properties, unit operations, scale-up, numerical/multiphysics simulation, and resource/operational logistics optimization. In addition, this role will focus on development of Digital Twin computational models to provide online modeling capabilities to our manufacturing facilities.

Key Responsibilities:

• Develop and deploy simulation and optimization models to drive decisions that help develop new and/or improve existing manufacturing and logistics processes.
• 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.
• Compliment model-based solutions with laboratory investigation and empirical validation 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 (i) developing appropriate internal collaborations (ii) sharing key learnings broadly at appropriate internal forums to allow colleagues the ability to 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.

Minimum Requirements:

• Minimum MS degree in chemical or mechanical engineering (or related field).
• Experience developing models in one or more of the following: steady-state simulation, dynamic simulation, discrete event simulation, nonlinear programming, or mixed-integer linear programming.
• Minimum of (4) years of related work experience (graduate research included)

Additional Preferences:

• Strong technical writing and presentation skills.
• Capability to solve complex issues with minimal supervision
• Experience with chemical process modeling and simulation.
• Experience developing simulation and optimization models leveraging commercial software tools like ANSYS-Fluent®, M-Star®, COMSOL®, aspenONE®, AFT Fathom®, ExtendSim®, Frontline Solver®
• Experience with statistical analysis and data/model fitting leveraging commercial software tools like JMP® or similar.
• Experience in the pharmaceutical industry.

Other Information:

• Some domestic and OUS travel may be required.
• Executing projects in a manufacturing environment may require use of designated PPE.

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively "Lilly") are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( [email protected] ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.

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