Process Modeling Engineer

Date:
May 30, 2026

Location:

Wickliffe, OH

Company:
Lubrizol Corporation

Job Type: Full-time / On-site

Shift +

Hours:

1st Shift

Additional Locations:
Wickliffe, Ohio or Deer Park, Texas

Travel: 20% or less

As a Process Modeling Engineer you will play a critical role in optimizing and transforming manufacturing performance through advanced process modeling, simulation, and data‑driven analysis. You will develop and deploy both physics‑based and data‑based models to support process design, scale‑up, troubleshooting, optimization, and long‑term strategic planning, and lead the creation of modeling standards, training programs, and strategic frameworks that elevate modeling capabilities across the organization.

• Modeling & Technical Execution: develop, validate, and maintain physics‑based process models (heat/mass transfer, reaction kinetics, fluid dynamics, unit operations).
• Build and apply data‑driven models using statistical, machine learning, or hybrid modeling approaches to identify trends, correlations, and optimization opportunities.
• Conduct steady‑state and dynamic simulations for process design, capacity analysis, debottlenecking, and energy efficiency assessments.
• Support troubleshooting and root‑cause analysis by using modeling to reproduce plant behavior and test hypotheses.
• Collaborate with R&D, operations, and process engineering to translate lab/pilot data into full‑scale manufacturing models.
• Standards & Best Practices: develop and maintain modeling standards, documentation practices, and validation protocols.
• Establish templates, guidelines, and workflows for physics‑based and data‑driven modeling across the engineering organization.
• Lead governance activities to ensure models are used responsibly, accurately, and with defined lifecycle management.
• Training & Capability Development: design and deliver training programs, workshops, and hands‑on sessions for engineers, operators, and technical staff.
• Mentor engineering teams on model interpretation, limitations, and appropriate use in decision‑making.
• Help cultivate a culture of data literacy, model‑informed design, and digital fluency across the organization.
• Strategy & Technology Leadership: develop and communicate a strategic roadmap for modeling capabilities, including tool selection, digital technologies, and long‑term capability growth.
• Evaluate and integrate emerging modeling technologies—such as AI/ML, advanced simulation platforms, and digital twin solutions.
• Collaborate with global engineering and operations leaders to align modeling strategy with broader engineering, manufacturing, and corporate objectives.
• Provide thought leadership in the areas of advanced analytics, digital process design, and predictive manufacturing.
• Cross‑Functional
  
  Collaboration:
  
  work closely with manufacturing, quality, R&D, EHS, and supply chain teams to ensure models support operational excellence, process safety, and product quality.
• Support capital project teams with modeling contributions for feasibility studies, conceptual design, and detailed engineering.
• Present model results and recommendations to technical and non‑technical audiences, including senior leadership.

• Master’s or PhD in Chemical Engineering, Process Modeling, Computational Methods, or related fields.
• 3+ years of experience in process engineering, process modeling, or advanced analytics within chemical, materials, or related manufacturing industries.
• Strong experience with process simulation tools (Aspen Plus, Aspen HYSYS, CHEMCAD, gPROMS).
• Experience developing data‑driven models using Python, MATLAB, JMP, or machine learning platforms.
• Strong foundation in transport phenomena, thermodynamics, kinetics, and unit operations.
• Proficiency in data analysis, statistics, and visualization.
• Experience with dynamic modeling, digital twins, or real‑time optimization is a plus.
• Ability to integrate lab, pilot, and plant data into robust model frameworks.
• Strong communication skills with ability to explain complex modeling results clearly.
• Demonstrated leadership in influencing without authority and driving standards or…