INEOS has an exciting opportunity for an R&D Scientist to join our Composites business at our Dublin, OH location.
INEOS Composites is a global chemical business with sales volume of 320 kte and revenue in excess of $1 billion. The Composites business has 6 manufacturing operations in the US, 1 in Brazil, 4 in Europe, 2 in China along with offices and headquarters in Ohio, Barcelona and Shanghai. The Composites Business primary products include unsaturated polyester resins (UPRs), vinyl ester resins (VERs) and gel coats.
Job Objective
This role will primarily be responsible for supporting and advancing our unsaturated polyester and vinyl ester resins. This is a team-oriented environment which will require close collaboration with scientists, technicians, technical service, and manufacturing. The ideal candidate will be a self-motivated, critical thinker with a commitment to the success of the business through an understanding of polymer structure-property relationships, formulation design, and processing methods.
The candidate will be effective at leading customers to solutions for manufacturing problems as well as translating customer needs into technical ideas. Also, the candidate will possess strong problem-solving skills, experimental design methodologies and project management practices.
The responsibilities for this position will include:
- Manage and drive both short-term and long-term projects to completion which will involve technology development/ formulation modifications to meet customer application requirements
- Collaborate across groups to help resolve customer issues, Customer and manufacturing quality issues and improve overall productivity and efficiency related to our unsaturated polyester, vinyl ester, and gelcoat product lines.
- Effectively communicate throughout the organization
- Up to 20% travel may be required.
Qualifications:
- Bachelor degree in chemistry or engineering is preferred.
- Must be self-motivated, well-organized, persistent, team-oriented, and adept at multi-tasking.
- Must have excellent communication, analytical, and problem solving skills.
- Must have effective project management skills and use of statistical experimental design practices.
- Capable of learning and adding new skills quickly.
- All candidates must be authorized to work in the U.S.