Research Scientist/Engineer - Transportation
Americhem · Cuyahoga Falls, OH · 3 mo ago
On-siteEngineeringFull-time
Responsibilities
- Lead development of differentiated technology platforms, including materials, formulations, and additive systems aligned to performance, regulatory, and sustainability goals.
- Drive experimentation, prototyping, testing, qualification, and scale-up in collaboration with Research, Manufacturing, and Engineering.
- Ensure adherence to Management of Change processes.
- Lead and mentor development engineers and specialists deliver projects on time and to quality standards.
- Manage execution through stage-gate processes, milestones, and continuous workflow improvement.
- Partner with Design Teams, Sales, and customers on technology transfer, trials, and application optimization.
- Provide clear project updates through reviews and customer engagements.
- Contribute technical insight to growth strategies, monitor competitive technologies, and support IP initiatives.
- Stay engaged with industry trends and organizations.
- Develop talent, support recruitment, and strengthen technical capabilities.
- Maintain strong documentation and IP practices.
- Integrate sustainability objectives into product and platform design.
Qualifications
- Bachelor’s or Advanced degree (Ph.D. or M.S.) in Polymer Science, Materials Science, Chemistry, or related field.
- 10+ years of experience developing and commercializing polymer-based products for transportation markets, including automotive, aerospace, defense, recreational, and utility vehicles.
- Hands-on experience with polymer processing, compounding, formulation development, scale-up, and manufacturing support is required.
- Experience with engineering thermoplastics, polyolefins, twin-screw extrusion, and transportation material qualification is strongly preferred.
- Familiarity with automotive and/or aerospace OEM specifications, weatherable materials, flame-retardant systems, and color-critical applications is highly desirable.
- Functional knowledge of DOE, statistical analysis, and data-driven product development is required.