Process Engineering Co-op - Drive Manufacturing Innovation

Johnson & Johnson; Irving (TX); On-site; USD 18,000 - 30,000; Part time

Job summary

Johnson & Johnson is recruiting for a Process Engineering Co-op based in Irving, Texas. The role focuses on developing, optimizing, and validating manufacturing processes to improve quality, efficiency, and cost performance.

You will work on data-driven decision making, statistical analysis, and advance engineering methods, with exposure to emerging technologies and multi-functional teams. This is a highly visible opportunity shaping future operations.

Qualifications

• Be enrolled in a Bachelor’s program in a Science, Engineering, or Business field.
• Incumbent must be enrolled in an accredited college or university, be in good academic standing and have completed at least two years of studies.

Responsibilities

• Complete projects that increase process efficiencies, reduce cycle time, cost, and improve overall quality of execution within assigned department using project management methodologies.
• Makes significant improvements in the assigned areas by using process excellence methodologies (Lean/Six Sigma).
• Undertakes and successfully completes project tasks to include any of the following: optimizing manufacturing processes, maintaining product/process documentation, testing processes, equipment, raw materials and product, and validating equipment and processes.
• Assist in crafting concepts and designs/approaches for new products/processes/test methods.
• Responsible for presenting business related issues or opportunities to next management level.

Skills

Lean Six Sigma

Project management

Problem solving

Education

Bachelor's in Science/Engineering/Business

Job description

Johnson & Johnson is recruiting for a Process Engineering Co-op based in Irving, Texas. The role focuses on developing, optimizing, and validating manufacturing processes to improve quality, efficiency, and cost performance.

You will work on data-driven decision making, statistical analysis, and advance engineering methods, with exposure to emerging technologies and multi-functional teams. This is a highly visible opportunity shaping future operations.