Data and Research Operations Student Worker (Student Wage)

University of Virginia • Charlottesville, VA

2d • Onsite

About The Position

We are seeking Computer Science / IT student workers to provide on-site technical support during 24-hour clinical studies. In this role, you will help ensure that study devices, sensors, and data systems function correctly around the clock, and you will directly support manual testing efforts — including wearing continuous glucose monitors (CGMs) and other on-body sensors as part of study protocols. This is a great hands-on opportunity for students interested in medical device technology, QA, and clinical/technical operations.

Requirements

• Currently enrolled in a Bachelor's degree program in Computer Science, Information Technology, Biomedical Engineering, or a related field, in the 3rd or 4th year of study.
• Comfortable working with hardware/software troubleshooting
• Willingness and ability to wear on-body medical sensors (e.g., CGMs) for extended periods as part of testing duties
• Available to work rotating shifts, including overnight, weekend, and/or holiday hours
• Strong attention to detail and reliable, punctual attendance
• Good written and verbal communication skills
• Ability to follow structured protocols and maintain confidentiality of study/participant data.

Nice To Haves

• Coursework or experience in software testing/QA
• Familiarity with wearable devices, medical devices, or IoT sensors
• Basic scripting experience (Python, shell, etc.)
• Ability writing automated tests
• Prior experience in a clinical, lab, or research setting

Responsibilities

• Provide real-time technical support to clinical staff and study participants during 24-hour study sessions (shift-based coverage).
• Troubleshoot hardware, software, connectivity, and data-sync issues with study devices and sensors.
• Apply and wear CGMs and other on-body sensors as a test subject/participant to support manual testing and validate device functionality, comfort, and data accuracy.
• Follow software technical notes and troubleshoot issues encountered during clinical trials.
• Monitor devices and systems throughout study sessions to catch and report technical issues promptly.
• Log incidents, device errors, and troubleshooting steps clearly and accurately.
• Escalate unresolved technical issues to engineering or clinical leads as needed.
• Follow study protocols, safety procedures, and data privacy requirements.
• Communicate clearly with clinical staff to minimize disruption to study participants.

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level