Manufacturing Engineer
: Job Details :


Manufacturing Engineer

Katalyst Healthcares and Life Sciences

Location: Grand Rapids,MI, USA

Date: 2025-01-01T07:02:36Z

Job Description:
Responsibilities:
  • Experience working with equipment suppliers.
  • Experience in supporting machine builders with kick off and design.
  • Experience with Semi-automated and automated equipment
  • Experience with process development in various processing including but not limited to : Joining technologies , Dispensing , Cannula tipping , Pad printing
  • Experience working on print review and working with design on print updates.
  • Experience working in QMS and ERP systems.
  • Experience with IQ/OQ/PQ/TMV preferred.
  • Worked with cross functional teams.
  • Collaborate with Quality Engineering to provide manufacturing support.
  • Responsible for providing manufacturing engineering support to specific projects including change analysis, risk analysis, and manufacturing readiness.
  • Should be experienced in Medical device manufacturing assembly lines.
  • Troubleshoot and resolve issues relating to the safety, efficacy, quality, cost, or delivery of components and finished devices.
  • Need to conduct qualification, verification, and validation activities to produce medical devices.
  • Need to be responsible for completing engineering work and contribute to new product development teams and product support, typically including the following activities: technology development, test of materials or products, preparation of specifications, six sigma, process studies, process improvements, and report preparation.
  • Participate on cross-functional project teams. Coordinate, manage, and document project work and progress, and recommend appropriate revisions.
  • Work with CFT teams in troubleshooting problems on the production floor.
  • Need to identify and implement process/product improvement alternatives to increase/optimize yield, efficiency, throughput, and/or performance.
  • Design, develop, testing, and validate equipment and processes; analyze and interpret process models and recommend process improvements.
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