740 Biomedical Research Engineer Engineering jobs in Dayton,OH

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Process Engineer

Primient

Dayton, OH

OnsiteHealth InsurancePaid Time OffRetirement Benefit

BS in Chemical, Bio Engineering or a related field from ABET accredited institution (required)
3+ years post-graduation work experience (required)
Previous manufacturing experience (or related field) (required)
General Chemistry
Basic mathematical and physics principles
Site specific (wet milling, refining, acid production) unit operation knowledge
Safety best practices in a manufacturing facility
Chemical engineering principles
Quality/food safety knowledge
Microsoft Office (Excel specific)
Understanding of process flows
Process Ownership & Optimization: Take technical ownership of multiple unit operations, ensuring process efficiency, reliability, and alignment with safety and quality standards. Identify and implement improvements to optimize energy consumption, material usage, and production efficiency (e.g., enzymes, water and minimizing waste).
Engineering Assignments & Project Management: Manage engineering assignments, including process studies, system optimizations, and capital projects. Oversee project execution, from scope development and budgeting to procurement and implementation. Implement control and narrative updates to resolve programming issues, install new equipment, and improve logic processes.
Technical Troubleshooting and Support: Serve as a key resource for troubleshooting process upsets, assisting with startups and shutdowns and conducting root cause analysis (RCA) to drive corrective actions and improve plant reliability.
Cross-Functional Collaboration: Work with Equipment SME's, procurement teams, vendors, and corporate engineering to design and troubleshoot processes. Engage the engineers across sites to benchmark performance and share best practices.
Performance Monitoring & Decision-Making: Monitor plant performance, track and communicate KPIs to both operators and plant/company leadership and recommend process adjustments based on data analysis. Develop independent solutions to address process pain points rather than relying on assigned projects.