Summer Industrial Engineering Internship (June 1 - August 7) - $19.50/hr
Summer Logistics Internship (June 1 - August 7) - $19.50/hr
Monday- Friday 8:00AM-4:30PM
Quest Diagnostics is seeking a highly motivated Industrial Engineering Intern to support automation and operations initiatives within our automated medical testing laboratory. This internship is focused on building a high-level simulation model of laboratory operations to identify bottlenecks, evaluate capacity, and test operational scenarios without disrupting live production.
This role provides hands-on experience in a high volume, highly automated clinical laboratory environment. The intern will report directly to the Lead Industrial Engineer within the Lab Operations Department to develop a discrete event simulation model incorporating instruments, buffers, automation track logic, and routing rules.
Primary Responsibilities
Develop a high-level capacity simulation model of laboratory automation systems
Collect and analyze production data including instrument throughput, buffer capacity, routing logic, and process flow timing
Translate real world laboratory processes into simulation logic
Identify bottlenecks, system constraints, and capacity limitations
Build scenario testing capabilities to evaluate staffing levels, volume fluctuations, equipment changes, and process improvements
Perform statistical analysis to validate assumptions and model inputs
Provide weekly progress updates and deliver a final presentation summarizing findings and recommendations
Technical Requirements
Completion of Junior year in Industrial Engineering.
Completion of coursework in Simulation and Statistics
Experience with discrete event simulation software such as Arena, Simio, FlexSim, AnyLogic, or equivalent
Strong data analysis skills
Ability to work with large datasets and translate data into modeling inputs
Understanding process flow mapping, routing logic, and system capacity concepts
Preferred Skills
Experience in Arena Simulation or simulation software
Experience with Python or coding-based simulation tools
Advanced Excel modeling skills
Familiarity with statistical validation techniques
What You Will Gain
Direct experience modeling complex automation in a clinical laboratory environment
Exposure to high volume medical testing operations
Real world application of simulation, statistics, and systems engineering
Experience presenting technical findings to operational leadership
Program Eligibility and Qualifications
To be eligible to participate, students must meet the following qualifications by the start date of the program
Completed Junior year in a four-year Industrial Engineering program
Minimum overall GPA of 3.0 from an accredited institution
Completed coursework in Simulation and Statistics
Required Documentation
Resume
Cover Letter describing interest in simulation modeling and automation
Official Transcripts