MedTech Process Engineering Co-op

Johnson & Johnson MedTech; San Lorenzo (CA); Presencial; USD 25.000 - 30.000; Jornada completa

Descripción de la vacante

Johnson & Johnson MedTech in Puerto Rico seeks a Process Engineering Co-Op to support manufacturing and drive process improvement. This full-time, year-long program runs January–December 2027 in San Lorenzo.

You will focus on process optimization, data analysis, validation support, and GMP/ISO compliance, collaborating with cross-functional teams to deliver engineering solutions. Experience with Lean, Six Sigma, root-cause analysis, and proficiency in Excel/Power BI is preferred; strong

Formación

• Completion of undergraduate freshman year required.
• Bachelor's degree in mechanical/electrical/industrial/manufacturing or related field.
• GPA 3.5+ across coursework.
• Strong analytical, problem-solving and communication skills.
• Ability to manage multiple priorities in a team setting.

Responsabilidades

• Support and execute engineering projects of low to medium complexity.
• Identify process improvements to increase efficiency and throughput.
• Perform root-cause analysis and implement CAPAs.
• Assist in process validation and validation protocols.
• Manage Non-Conformance Quality Actions from start to finish.
• Collaborate with cross-functional teams to meet project goals.
• Analyze manufacturing data and suggest waste reduction ideas.
• Support Lean and Six Sigma continuous improvement initiatives.
• Coordinate communications with equipment suppliers.
• Develop and present innovative manufacturing solutions.

Conocimientos

Analytical thinking

Problem solving

Communication

Teamwork

Educación

Bachelor's degree in Mechanical/Electrical/Industrial/Manufacturing or related field

Herramientas

Microsoft Excel

Microsoft PowerPoint

Microsoft Word

Power BI

Minitab

Visio

CAD (SolidWorks/AutoCAD)

Python/MATLAB

Descripción del empleo

Johnson & Johnson MedTech in Puerto Rico seeks a Process Engineering Co-Op to support manufacturing and drive process improvement. This full-time, year-long program runs January–December 2027 in San Lorenzo.

You will focus on process optimization, data analysis, validation support, and GMP/ISO compliance, collaborating with cross-functional teams to deliver engineering solutions. Experience with Lean, Six Sigma, root-cause analysis, and proficiency in Excel/Power BI is preferred; strong