Research Engineer in BME

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

Job summary

The University of Vermont is seeking a Research Engineer in Biomedical Engineering to design, develop, and maintain integrated hardware and software systems supporting biomedical and behavioral research in naturalistic settings.

You will build sensor-based data collection platforms, develop software for data acquisition, QA pipelines, and long-term data management while ensuring secure, privacy-conscious collection. Collaboration with investigators, IT staff, and external partners is essential.

Qualifications

• Bachelor’s degree in CS, ECE, or related field.
• Proficiency in Python; experience with Go, C++, JavaScript, or HTML.
• Experience designing systems that collect data from multiple sensors.
• Strong written and verbal communication; ability to document technical work clearly.

Responsibilities

• Design networked sensor systems and software for data collection.
• Create real-time monitoring and quality assurance tools and data pipelines.
• Maintain and improve research hardware and electronics; support data analysis and visualization.
• Provide deployment and troubleshooting support, including interaction with study participants when needed.

Skills

Python

Go

C++

JavaScript

HTML

Education

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

Job description

Position Details

Position Details

Advertising/Posting Title Research Engineer in BME Posting Summary

The Research Engineer designs, develops, and maintains integrated hardware and software systems that support innovative biomedical and behavioral research in naturalistic settings. This position is responsible for building and deploying sensor-based data collection platforms, developing software for data acquisition, quality assurance, feature extraction, and long-term data management, and ensuring reliable, secure, and privacy-conscious collection of research data. The Research Engineer collaborates closely with investigators, research staff, IT professionals, and external partners to support longitudinal studies, optimize research infrastructure, and advance data-driven scientific discovery.

Key responsibilities include designing networked sensor systems; developing software applications in multiple programming languages; creating real-time monitoring and quality assurance tools; implementing automated data processing and feature extraction pipelines; maintaining and improving research hardware and electronics; supporting data analysis and visualization activities; documenting technical processes and best practices; and contributing to collaborative research initiatives. The incumbent also provides technical support for study implementation, including system deployment, troubleshooting, and, when needed, direct interaction with research participants.

This position requires expertise in software engineering, data systems, sensor technologies, hardware integration, and research computing, along with strong problem-solving, communication, and project coordination skills. The successful candidate will play a critical role in enabling high-quality, scalable, and reproducible research through the development of robust data collection and analysis infrastructure.

Minimum Qualifications (or Equivalent Combination Of Education And Experience)

• Bachelor’s degree in Computer Science, Electrical/Computer Engineering, or a related field
• Demonstrated proficiency programming in Python, with additional experience in at least one of: Go, C++, JavaScript, or HTML
• Experience designing or working with systems that collect data from multiple sensors or devices simultaneously (e.g., synchronizing data streams across wired, Bluetooth, or Wi‑Fi connections).
• Strong written and verbal communication skills, including the ability to document technical work clearly for future team members
• Ability to work both independently and collaboratively with a multidisciplinary research team
• Experience troubleshooting software and/or hardware issues

Desirable Qualifications

• Experience with remote diagnosis and repair of software and/or hardware issues
• Experience with longitudinal or naturalistic data collection studies (e.g., in-home monitoring, wearables, ambulatory assessment)
• Experience building real-time or near-real-time data quality dashboards or monitoring toolsExperience with signal processing or automated feature extraction from raw sensor data (e.g., physiological, audio, video, or motion data)
• Experience with 3D printing and CAD design for custom hardware enclosures
• Familiarity with high-performance computing environments (e.g., HPC clusters, Slurm)
• Experience working with IRB protocols, human subjects research, or participant-facing research roles
• Familiarity with version control (e.g., Git) and maintaining well‑documented software repositories
• Experience with cloud storage, databases, or large‑scale data management pipelines
• Prior experience in an academic or biomedical research environments
• Experience preparing figures, text, or technical content for scientific publications or grant proposals

Anticipated Pay Range $55,000 - $60,000 Other Information Special Conditions A probationary period may be required, Contingent on continued funding, Occasional evening and/or weekends required (if non‑exempt position, may result in overtime), Travel to and from worksites required, This position is ineligible for telework due to the essential functions, Background Check required for this position FLSA Exempt Union Position Yes, UVMSU

Posting Details

Position will be posted for a minimum of one week, after which it is subject to removal without notice.

Job Location

Burlington, Vermont, United States Job Open Date 09/18/2026 Job Close Date (Jobs close at 11:59 PM EST.) Open Until Filled No

Our Common Ground Statement

The University of Vermont is a welcoming, educationally purposeful community committed to creating an inclusive environment that embraces intellectual diversity and global perspectives. We seek to prepare students to be accountable leaders who will bring to their work a grasp of complexity, effective problem‑solving and communication skills, and an enduring commitment to learning and ethical conduct. Members of the University of Vermont community embrace and advance the values of Our Common Ground: Respect, Integrity, Innovation, Openness, Justice, and Responsibility. Staff play a critical role in this effort and the successful candidate will demonstrate a strong commitment to UVM’s mission and advancing Our Common Ground values through the execution of their job duties.

Position Information

Position Title Research Engineering PC2 X Posting Number S6305PO Department Elec & Biomed Engineering/54020 Position Number 00028002 Percent of Full-Time 1.0 Standard Hours at 1.0 FTE 37.5 Term (months per year) 12

Supplemental Questions

Required fields are indicated with an asterisk (*).

Documents Needed to Apply

Required Documents

• Resume
• Cover Letter/Letter of Application

Optional Documents