Formulation Scientist

Lubrizol Corporation•Brecksville, OH

1d•Onsite

About The Position

The Formulation Scientist will develop the next generation of high-performance chlorinated polyvinyl chloride (CPVC) technologies for critical infrastructure. The role combines materials science, formulation expertise, advanced analytics, and laboratory research to turn ideas into commercial solutions. It works with R&D, Manufacturing, Quality, Technical Service, and Commercial teams to accelerate product development, optimize performance, and deliver customer value through data-driven insights and scientific problem-solving. The position focuses on designing and optimizing CPVC formulations, applying experimental design and statistical approaches, generating actionable insights from technical data, and leading laboratory formulation activities. It also supports digital workflows, predictive modeling, product scale-up and commercialization, and compliance with customer expectations, regulatory requirements, certification standards, and performance objectives. The scientist presents findings to business leaders, customers, and cross-functional stakeholders and contributes to collaboration, mentoring, and continuous improvement. This is a full-time, on-site role based in Brecksville, Ohio initially, with a transition to Wickliffe, Ohio in 2028. Work may take place in a laboratory, manufacturing setting, or office environment, and may include extended periods standing or walking, operating equipment, computer and digital-tool use, and occasional lifting or movement of materials. Appropriate PPE is provided, and employees must follow safety protocols and ergonomic standards.

Requirements

At least 5 years of relevant industry experience with a bachelor's degree, or 3 years of relevant industry experience with a master's degree or Ph.D., in Chemistry, Materials Science, Chemical Engineering, Polymer Engineering, Data Science for Materials, or a related scientific discipline.
Strong knowledge of polymer science, formulation development, and structure-property relationships.
Experience designing and executing experiments using DOE, statistical methodologies, and scientific problem-solving techniques.
Demonstrated ability to generate, organize, analyze, and interpret complex technical datasets.
Experience applying data analytics, statistical analysis, or predictive modeling to materials, formulation, or product development challenges.
Proficiency with Microsoft 365 applications, Power BI, advanced Microsoft Excel analytics, and scientific data analysis software.
Excellent communication skills, including the ability to translate complex technical findings into clear business recommendations.
Strong project management, organizational, and collaboration skills.
Ability to work safely in laboratory and manufacturing environments and travel as needed.

Nice To Haves

Experience in polymer, plastics, specialty chemicals, or advanced materials industries.
Knowledge of CPVC, PVC, ABS, PVDF, PEX, polyethylene, high-density polyethylene, polyurethane, polycarbonate, or related polymer systems.
Experience with extrusion, molding, compounding, foaming, sheet production, or related manufacturing processes.
Experience using Python, R, JMP, Minitab, MATLAB, or similar tools for scientific data analysis and modeling.
Familiarity with Laboratory Information Management Systems (LIMS), Electronic Laboratory Notebooks (ELN), Microsoft Fabric, Azure AI, Power BI, or comparable digital platforms.
Experience with artificial intelligence, machine learning, predictive modeling, or digital transformation initiatives in research and development environments.
Demonstrated success leading technical innovation projects from concept through commercialization.

Responsibilities

Design, develop, and optimize CPVC formulations for new product development and existing product enhancement.
Apply Design of Experiments (DOE), statistical analysis, and data-driven methods to understand formulation-performance relationships and accelerate innovation.
Generate, analyze, visualize, and interpret technical data to provide actionable insights for product development and business decisions.
Lead laboratory formulation activities using advanced processing, analytical, and material characterization techniques.
Develop and improve digital workflows for capturing, organizing, and leveraging experimental data across projects.
Use predictive modeling, machine learning, and advanced analytics tools to support material development and technical problem solving.
Partner with manufacturing, quality, technical service, and commercial teams to scale products from concept through commercialization.
Ensure products meet customer expectations, regulatory requirements, certification standards, and performance objectives.
Present technical findings and recommendations to business leaders, customers, and cross-functional stakeholders.
Mentor colleagues, share technical expertise, and support continuous improvement.