Advisor
healthcare
Advisor-ComputationalModelingEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Advisor - Computational Modeling Engineer at Advisor. Skills: computational modeling, simulation, optimization models, Digital Twin computational models. Provide diverse modeling expertise. Develop computational models that drive decisions to design new manufacturing processes and improve existing ones”
What You'll Achieve.
increase manufacturing capacity, resilience, compliance, and inspection readiness; support operational excellence goals for safety, quality, and supply
Industry & Context.
solve the most intractable technical problems in manufacturing; solve complex issues with minimal supervision
Limited Domestic and International travel required (less than 10%)
What They're Looking For.
Must Have
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.
Nice to Have
technical writing and presentation skills., Capability to solve complex issues with minimal supervision., Demonstrated working knowledge of the underlying physics, first-principles concepts, and numerical methods from which computational models are formulated and solved., 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.
What You'll Do.
Provide diverse modeling expertise
Develop computational models that drive decisions to design new manufacturing processes and improve existing ones
Apply modeling techniques across a broad range of domains
Support continuous and discrete manufacturing operations
Develop Digital Twin computational models that provide online modeling capabilities to manufacturing facilities
Develop and deploy simulation and optimization models
Deliver sound interpretation of modeling results
Complement model-based solutions with laboratory investigation
or validation against site operating data
Prepare internal technical reports to document work
Publish and/or present work externally
Maintain and grow the functional value of modeling within Lilly
Foster the use of modeling tools by colleagues outside DME
Identify and implement modeling advances
Develop collaborations with appropriate external partners
Provide data requirements that support computational models and Digital Twin solutions
How You'll Work.
Team & Collaboration
Partner with the data leads within the DME team; Work closely with manufacturing site process and plant engineers, corporate function engineers, and development engineers/scientists; Develop appropriate internal collaborations; Share key learnings broadly at appropriate internal forums; Provide instruction, consultation; Develop collaborations with appropriate external partners
Communication Scope
technical writing; presentation skills
Full Job Description
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 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. **Organization Overview** Lilly is at a critical juncture as we tool up to realize the potential of our product pipeline. We are building new processing capabilities around the world, and emphasizing emerging, innovative technologies, such as continuous processing, biotech platforms, and advanced data and control systems. Additionally, we are recapitalizing older assets, and bringing the operational philosophies in line with current technologies. Lilly places a high value on fully automated manufacturing processes, as the quality and operational benefits are baseline expectations of new process design. Digital Manufacturing Engineering (DME) is part of the Corporate Engineering Tech Center (ETC). The ETC is a technical resource for training, standards, project implementation, and the center of engineering excellence for the corporation, providing deeply technical resources to solve the most intractable technical problems in manufacturing. DME provides Digital Engineering Platform ownership, OT data integration solutions, engineering data standardization/ownership, and digital manufacturing solutions for Lilly Manufacturing. Our team focuses on connecting our facilities (securely) and leveraging the data from those facilities to deliver digital manufacturing solutions to improve manufacturing productivity, data integrity / compliance, quality, and operational excellence. Digital Manufacturing Technologies include digital twins,
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