Biomedical Sensor Systems Engineer

University of Vermont; Burlington (VT); On-site; USD 55,000 - 60,000; Full time

Job summary

University of Vermont in Burlington, VT seeks a Research Engineer in BME to design, build, and maintain integrated hardware and software for biomedical research in naturalistic settings. You will deploy sensor-based data collection platforms, develop data acquisition software, QA and feature extraction pipelines, and ensure secure, privacy-conscious data handling.

Collaborating with investigators, staff, IT, and external partners, you will enable longitudinal studies, optimize infrastructure,

Qualifications

• Bachelor's degree in CS, ECE or related field.
• Proficient in Python, with experience in Go, C++, JavaScript, or HTML.
• Experience designing or working with multi-sensor data collection systems.
• Strong written and verbal communication with ability to document work clearly.
• Ability to work independently and with a multidisciplinary team.
• Experience troubleshooting software and/or hardware issues.

Responsibilities

• Design networked sensor systems for research use.
• Develop software applications in multiple programming languages.
• Create real-time monitoring and QA tools.
• Implement automated data processing and feature extraction pipelines.
• Maintain research hardware and electronics.
• Support data analysis and visualization activities.
• Document technical processes and best practices.
• Provide deployment and troubleshooting support to studies.

Skills

Python

Go

C++

JavaScript

HTML

Sensor data

Data synchronization

Communication

Teamwork

Troubleshooting

Education

Bachelor's degree in Computer Science, Electrical/Computer Engineering, or related field

Tools

Git

HPC (Slurm)

3D printing

Job description

University of Vermont in Burlington, VT seeks a Research Engineer in BME to design, build, and maintain integrated hardware and software for biomedical research in naturalistic settings. You will deploy sensor-based data collection platforms, develop data acquisition software, QA and feature extraction pipelines, and ensure secure, privacy-conscious data handling.

Collaborating with investigators, staff, IT, and external partners, you will enable longitudinal studies, optimize infrastructure,