{"schemaVersion":"jobsearcher.job.v1","id":"ffabcaf7efa53c2e10c7fa0a","url":"https://jobsearcher.com/jobs/ffabcaf7efa53c2e10c7fa0a","canonicalUrl":"https://jobsearcher.com/jobs/ffabcaf7efa53c2e10c7fa0a","title":"Process Modeling Engineer","description":"Overview\nYou will drive modeling-driven improvements in chemical manufacturing, blending physics-based and data-driven approaches to optimize design, scale-up, and operations. You’ll establish modeling standards, train teams, and push strategic capabilities, contributing to Lubrizol’s digital transformation and sustainable manufacturing goals. This role bridges R&D, operations, and process engineering, turning lab insights into full-scale solutions. You’ll lead cross-functional collaboration and deliver tangible impact on efficiency and safety.\n\nCompensation / BenefitsCompetitive salary with performance-based bonus401(k) match + Age-Weighted Defined ContributionComprehensive medical, dental & visionHealth Savings Account (HSA)Paid holidays, vacation, and parental leaveFlexible work environment\nResponsibilitiesDevelop, validate, and maintain physics-based process models (heat/mass transfer, reaction kinetics, fluid dynamics, unit operations)Create and apply data-driven models using statistical, ML, or hybrid methods to find trends and optimization opportunitiesRun steady-state and dynamic simulations for design, capacity, debottlenecking, and energy efficiencySupport troubleshooting via modeling to reproduce plant behavior and test hypothesesCollaborate with R&D, operations, and process engineering to translate lab/pilot data to full-scale modelsDevelop and maintain modeling standards, documentation, and validation protocolsEstablish templates and workflows for physics-based and data-driven modeling across the orgLead governance to ensure responsible model use and lifecycle managementDesign and deliver training programs on modeling tools and best practicesMentor teams on model interpretation and appropriate use in decision-makingHelp cultivate data literacy and model-informed designDevelop a strategic roadmap for modeling capabilities, tool selection, and digital technologiesEvaluate and integrate AI/ML, advanced simulation, and digital twin technologiesCollaborate with global leaders to align modeling strategy with corporate objectivesProvide thought leadership in advanced analytics, digital process design, and predictive manufacturingWork with manufacturing, quality, R&D, EHS, and supply chain to ensure models support ops excellence and safetySupport capital project teams with modeling contributions for feasibility, design, and detailed engineeringPresent model results to technical and non-technical audiences, including senior leadership\nKey requirementsMaster’s or PhD in Chemical Engineering, Process Modeling, Computational Methods, or related fields3+ years in process engineering, process modeling, or advanced analytics in chemical/materials/manufacturingStrong experience with process simulation tools (Aspen Plus, Aspen HYSYS, CHEMCAD, gPROMS)Experience developing data-driven models using Python, MATLAB, JMP, or ML platformsStrong foundation in transport phenomena, thermodynamics, kinetics, and unit operationsProficiency in data analysis, statistics, and visualizationExperience with dynamic modeling, digital twins, or real-time optimization is a plusAbility to integrate lab, pilot, and plant data into robust model frameworksStrong communication skills to explain complex modeling results clearlyDemonstrated leadership in influencing without authority and driving standards across teamsStructured problem-solving mindset and continuous improvement orientationstrong communicationleadership without formal authoritycollaboration across functionsprocess simulation (Aspen Plus, Aspen HYSYS, CHEMCAD, gPROMS)data-driven modeling (Python, MATLAB, JMP)machine learning platforms","company":"Lubrizol","rawCompany":"lubrizol","city":"Willoughby","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-09-22T04:01:40.272Z","occupations":[{"code":"17-2041.00","title":"Chemical Engineers","slug":"chemical-engineers"},{"code":"17-2141.00","title":"Mechanical Engineers","slug":"mechanical-engineers"},{"code":"17-2112.03","title":"Manufacturing Engineers","slug":"manufacturing-engineers"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Process Modeling Engineer","description":"Overview\nYou will drive modeling-driven improvements in chemical manufacturing, blending physics-based and data-driven approaches to optimize design, scale-up, and operations. You’ll establish modeling standards, train teams, and push strategic capabilities, contributing to Lubrizol’s digital transformation and sustainable manufacturing goals. This role bridges R&D, operations, and process engineering, turning lab insights into full-scale solutions. You’ll lead cross-functional collaboration and deliver tangible impact on efficiency and safety.\n\nCompensation / BenefitsCompetitive salary with performance-based bonus401(k) match + Age-Weighted Defined ContributionComprehensive medical, dental & visionHealth Savings Account (HSA)Paid holidays, vacation, and parental leaveFlexible work environment\nResponsibilitiesDevelop, validate, and maintain physics-based process models (heat/mass transfer, reaction kinetics, fluid dynamics, unit operations)Create and apply data-driven models using statistical, ML, or hybrid methods to find trends and optimization opportunitiesRun steady-state and dynamic simulations for design, capacity, debottlenecking, and energy efficiencySupport troubleshooting via modeling to reproduce plant behavior and test hypothesesCollaborate with R&D, operations, and process engineering to translate lab/pilot data to full-scale modelsDevelop and maintain modeling standards, documentation, and validation protocolsEstablish templates and workflows for physics-based and data-driven modeling across the orgLead governance to ensure responsible model use and lifecycle managementDesign and deliver training programs on modeling tools and best practicesMentor teams on model interpretation and appropriate use in decision-makingHelp cultivate data literacy and model-informed designDevelop a strategic roadmap for modeling capabilities, tool selection, and digital technologiesEvaluate and integrate AI/ML, advanced simulation, and digital twin technologiesCollaborate with global leaders to align modeling strategy with corporate objectivesProvide thought leadership in advanced analytics, digital process design, and predictive manufacturingWork with manufacturing, quality, R&D, EHS, and supply chain to ensure models support ops excellence and safetySupport capital project teams with modeling contributions for feasibility, design, and detailed engineeringPresent model results to technical and non-technical audiences, including senior leadership\nKey requirementsMaster’s or PhD in Chemical Engineering, Process Modeling, Computational Methods, or related fields3+ years in process engineering, process modeling, or advanced analytics in chemical/materials/manufacturingStrong experience with process simulation tools (Aspen Plus, Aspen HYSYS, CHEMCAD, gPROMS)Experience developing data-driven models using Python, MATLAB, JMP, or ML platformsStrong foundation in transport phenomena, thermodynamics, kinetics, and unit operationsProficiency in data analysis, statistics, and visualizationExperience with dynamic modeling, digital twins, or real-time optimization is a plusAbility to integrate lab, pilot, and plant data into robust model frameworksStrong communication skills to explain complex modeling results clearlyDemonstrated leadership in influencing without authority and driving standards across teamsStructured problem-solving mindset and continuous improvement orientationstrong communicationleadership without formal authoritycollaboration across functionsprocess simulation (Aspen Plus, Aspen HYSYS, CHEMCAD, gPROMS)data-driven modeling (Python, MATLAB, JMP)machine learning platforms","datePosted":"2026-09-22T04:01:40.272Z","dateModified":"2026-09-22T04:01:40.272Z","hiringOrganization":{"@type":"Organization","name":"Lubrizol","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Willoughby","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ffabcaf7efa53c2e10c7fa0a"},"url":"https://jobsearcher.com/jobs/ffabcaf7efa53c2e10c7fa0a"}}