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Research Engineer in BME
Job Location:
Job Location:
Burlington, CO - USA
Yearly Salary:
USD 55000 - 60000
Yearly Salary:
Posted:
1 October 2026 (Yesterday)
Posted:
Application Deadline:
29 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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.
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 tools Experience 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
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.
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 tools Experience 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
Required Experience:
IC
About Company
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