Position : R&D Product Development Engineer (2-4 Yrs Exp in required in Medical Device)
Location : Franklin Lakes, NJ
Duration : 5 Months
Total Hours/week : 40.00
pay range -$25-30/hr
1 st Shift
Client : Medical Devices Company
Job Category : Engineering
Employment Type : Contract on W2 (Need US Citizens or GC Holders or GC EAD or OPT or EAD or CPT
JOB DESCRIPTION
• Provide solid technical skill and engineering support for design and development activities for new and existing products.
• Have strong packaging experience in medical device industry and be able to drive project activities across cross-functional stakeholders.
• Prior experience working at client is preferred.
• Support current products in terms of quality, manufacturing, supply continuity and cost improvement.
• Participate in executing technical and/or cross-functional project work.
• Contribute to a culture of innovation by proactively generating novel concepts for new products and enhancements to current product performance.
• Understand customer needs through literature review, customer interviews, direct observation, competitive analysis, prototype evaluation, and clinical/simulated use studies.
• Translate customer needs into engineering requirements into specific product, packaging and process specifications.
• Engineer robust and manufactural products through strong understanding and application of engineering fundamentals.
• Develop and execute test methods which specify measurement equipment, test set-up, measurement systems analysis, and data analysis.
• Write detailed technical reports based on design verification analysis/testing for design changes and product design activities. Ensure compliance with BD quality policies, procedures and practices as well as with all local, state, federal and client safety regulations, policies and procedures.
• BS degree in engineering is required (Mechanical or Biomedical Engineering preferred).
• 2-4 years of engineering experience is required, preferably in medical devices.
• Demonstrated ability to utilize statistical tools and computer analysis.