QC Lab Co-op — Data, Lean & Lab Ops (Gurabo)

Johnson & Johnson Innovation; Gurabo (PR); On-site; USD 21,000 - 26,000; Full time

Job summary

Johnson & Johnson is seeking a Co-Op in Gurabo, PR for the 2027 term to join the Quality Control team. You will gain hands-on experience in a pharmaceutical manufacturing environment while collaborating with QC, Supply Chain, Procurement and Operations teams.

The program runs January through December 2027, with a full-time schedule (40 hours per week) and opportunities to develop data-driven decision making and dashboard skills using Excel and Power BI.

Qualifications

• Completion of Undergraduate Freshman year at an accredited University is required.
• Currently pursuing a bachelor’s degree in Chemistry, Biology, Biochemistry, Industrial Engineering, Chemical Engineering, or related field.
• Have a cumulative GPA of 3.0 or higher.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel; Power BI experience preferred.
• Strong communication and organizational skills.

Responsibilities

• Analyze laboratory material usage, inventory, and purchasing data.
• Support development of a standardized QC laboratory purchasing process.
• Assist in creating a site-wide laboratory materials database and baseline inventory.
• Support Reduced Testing Plan initiatives through data collection and analysis.
• Develop dashboards and reports using Excel and Power BI.
• Identify process improvement opportunities using Lean principles.
• Prepare presentations and recommendations for leadership.

Skills

Analytical thinking

Problem-solving

Education

Bachelor’s degree in Chemistry or related field (pursuing)

Freshman year required

Tools

Microsoft Excel

Power BI

Job description

Johnson & Johnson is seeking a Co-Op in Gurabo, PR for the 2027 term to join the Quality Control team. You will gain hands-on experience in a pharmaceutical manufacturing environment while collaborating with QC, Supply Chain, Procurement and Operations teams.

The program runs January through December 2027, with a full-time schedule (40 hours per week) and opportunities to develop data-driven decision making and dashboard skills using Excel and Power BI.