Wearable Health Tech: Clinical Research Engineer

Noctrix-Health; Pleasanton (CA); Hybrid; USD 130,000 - 150,000; Full time

Job summary

NoctrixHealth in Pleasanton, CA is seeking a Clinical Research Engineer to support research, development, testing, and data analysis for our wearable medical devices. The role sits at the intersection of engineering and clinical science, contributing to software/firmware development and clinical studies.

The ideal candidate will be a technical generalist with strong Python skills, experience with medical devices, and the ability to work across Engineering, Quality, Regulatory, and Product teams

Qualifications

• Bachelor’s degree in Engineering or related technical field with 5+ years of industry experience, or a Master’s with 3+ years
• Experience developing, testing, or supporting medical devices or wearable health technologies
• Experience across software, data analysis, testing, and embedded systems within a Design Control environment

Responsibilities

• Develop Python-based tools, algorithms, and pipelines to improve research efficiency and data quality
• Analyze clinical, physiological, and device datasets to identify trends and support decision-making
• Perform physiological signal processing and biosensor data interpretation
• Develop and execute verification and validation protocols for software, firmware, and medical devices
• Collaborate with Clinical Research, Engineering, Quality, Regulatory Affairs, and Product teams to advance wearable medical technologies

Skills

Python

Data analysis

Signal processing

Machine learning

Biomedical engineering

Education

Bachelor’s degree in Engineering/related field

Master’s degree

Tools

C++

SQL

Git

Job description

NoctrixHealth in Pleasanton, CA is seeking a Clinical Research Engineer to support research, development, testing, and data analysis for our wearable medical devices. The role sits at the intersection of engineering and clinical science, contributing to software/firmware development and clinical studies.

The ideal candidate will be a technical generalist with strong Python skills, experience with medical devices, and the ability to work across Engineering, Quality, Regulatory, and Product teams