Katalyst HealthCares and Life Sciences
Katalyst HealthCares and Life Sciences is hiring: Manufacturing Engineer in Gran
Katalyst HealthCares and Life Sciences, Grand Rapids, MI, United States
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.