Process Modeling Engineer; Wickliffe, OH

Position: Process Modeling Engineer (Wickliffe, OH, US, 44092-2298)
Shape the Future with Us. At Lubrizol, we're transforming the specialty chemicals market through science, sustainability, and a culture of inclusion. As part of our global team, you'll be empowered to make a real impact-on your career, your community, and the world around you.

Job Type: Full-time / On-site

Shift +

Hours:

1st Shift

Location:

Wickliffe, Ohio or Deer Park, Texas

Travel: 20% or less

How You'll Make an Impact

As an Process Modeling Engineer you'll be at the forefront of our innovation, driving specialty chemical solutions forward. You'll collaborate with a diverse group of passionate individuals to deliver sustainable solutions to advance mobility, improve wellbeing, and enhance modern life.

The Process Modeling Engineer plays a critical role in optimizing and transforming manufacturing performance through advanced process modeling, simulation, and data-driven analysis. This role develops and deploys both physics-based and data-based models to support process design, scale-up, troubleshooting, optimization, and long-term strategic planning. The engineer also leads the creation of modeling standards, training programs, and strategic frameworks that elevate modeling capabilities across the organization.

In this role, you will:

1. Modeling & Technical Execution

* Develop, validate, and maintain physics-based process models (e.g., 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.

2. Standards & Best Practices

* Develop and maintain modeling standards, documentation practices, and validation protocols to ensure consistency, quality, and sustainability of modeling assets.

* 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.

3. Training & Capability Development

* Design and deliver training programs, workshops, and hands-on sessions for engineers, operators, and technical staff on modeling tools, methodologies, and best practices.

* 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.

4. 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.

5. 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.

Required Qualifications that Enable Your Success

* 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 (e.g., Aspen Plus, Aspen HYSYS, CHEMCAD, gPROMS)

* Experience developing data-driven models using tools like 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 programs across teams.

* Structured problem-solving, curiosity, and continuous improvement mindset.

Your Work Environment

At Lubrizol, we're…