Process Engineering Intern, Lab Data & Knowledge Systems

What you’ll do

Lab equipment and skills data

• Work with lab leads and technicians to inventory lab equipment and collect its status, maintenance, calibration and documentation records. Enter this data into the WCO Equipment Dashboard.
• Work with lab managers to define the skills each lab needs, the goals for each skill and each employee’s current level. Populate this in the WCO Skills Matrix.
• Make sure the collected data supports the group’s ISO/IEC 17025 requirements for personnel competence and equipment records.
• Map how the data is gathered and kept up to date today, find where it breaks down, and recommend and pilot simpler, repeatable processes using Lean and continuous-improvement methods.
• Write short how-to guides and train lab users so the data stays current after the internship ends.

• Use AI tools (Claude) to catalog the Knowledge Resource Center’s physical and digitized holdings (technical reports, journals, microfilm archives) into a consistent, searchable digital catalog.
• Define and apply a standard set of catalog fields (title, author, date, report number, subject, location, etc.). Spot-check the AI’s output for accuracy.
• Flag items that cannot be shared with AI tools because of copyright or licensing.
• Work with the Software Engineering intern and the WCO team so the catalog can be searched by AI research tools.

• Currently pursuing a bachelor’s degree in Industrial, Manufacturing, Process, Engineering Management, or a related field.
• Strong organizational skills and attention to detail with data.
• Comfortable working face-to-face with lab staff and asking questions to get accurate information.
• Proficient with Excel.
• Comfortable learning new software and AI tools.
• Clear written and verbal communication.

• Coursework or experience in Lean, Six Sigma, process improvement or quality systems.
• Familiarity with ISO 9001 / ISO/IEC 17025, calibration or maintenance programs.
• Lab, manufacturing or industrial internship experience.
• Basic SQL, Power BI, or data-cleaning experience.
• Interest in library science, information management or research data.