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 is redefining the treatment of chronic neurological disorders with clinicallyvalidatedtherapeutic wearables. Our team of medical device specialists, neuroscientists, and consumer electronics engineers is dedicated to delivering prescription-grade therapy with an outstanding user experience. We have pioneered the world’s first drug-free wearable therapy, clinically proven to alleviate symptoms in adults with drug-resistant Restless Legs Syndrome (RLS). Be part of our mission to transform healthcare, improve lives, and drive meaningful change withNoctrixHealth.

We areseekinga versatile and highly motivated Clinical Research Engineer to support research, development, testing, and data analysis initiatives withinNoctrixHealth’s Clinical Research organization. This role sits at the intersection of engineering and clinical science, contributing to software and firmware development, physiological signal processing, clinical data analysis, device characterization, verification and validation, and clinical research activities.

The ideal candidate is a strong technical generalist who enjoys solving complex problems across multiple disciplines and can quickly adapt to new technical challenges. This individual will work closely with Clinical Research, Engineering, Quality, Regulatory Affairs, and Product teams to generate clinical insights, evaluate device performance, and support the development of next-generation wearable medical technologies.

This position reports to the Chief Scientific Officer .

This is a full-time, hybrid positionlocatedin our Pleasanton, CA office, with a minimum of three days per week onsite.

Responsibilities:

• Develop Python-based tools, algorithms, analysis pipelines, and automation frameworks to improve research efficiency, engineering productivity, and data quality
• Analyze small- and large-scale clinical, physiological, and device datasets toidentifytrends, generate insights, and support product and clinical decision-making
• Perform physiological signal processing, waveform analysis, and interpretation of biosensor and device-generated data
• Develop and execute verification and validation protocols for software, firmware, algorithms, and medical device systems
• Contribute to the design, development, and testing of firmware components and embedded systems used withinNoctrixmedical devices
• Support device characterization, use-case testing, performance evaluations, and root cause investigations
• Develop automated testing and data analysis workflows to improve the efficiency and repeatability of research and engineering activities
• Apply statistical methods to experimental and clinical datasets and interpret results in support of clinical research and product development
• Support algorithm and machine learning model development, evaluation, and testing where applicable
• Collaborate with cross-functional teams to define technical requirements, design experiments, develop and test systems, and solve complex technical problems
• Support clinical research studies through data collection, analysis, technical troubleshooting, and interpretation of study results
• Prepare clear technical documentation, including research findings, technical specifications, test protocols, test reports, and engineering records
• Ensure technical and research activities are appropriately documentedin accordance withapplicable Quality System and regulatory requirements
• Partner closely with Clinical Affairs, Regulatory Affairs, Quality Assurance, Product Management, and Engineering to advance safe, effective, and patient-centered solutions

Requirements:

• Bachelor’s degree in Engineering, Biomedical Engineering, Electrical Engineering, Computer Science, or a related technical discipline with 5+ years of relevant industry experience , or aMaster’sdegree with 3+ years of relevant experience
• Experience developing, testing, or supporting medical devices, wearable health technologies, or similar regulated products
• Experience working across multiple technical domains, including software development, data analysis, testing, and embedded systems
• Experience supporting research or product development activities from concept through commercialization within a Design Control environment
• Hands-on experience developing and executing verification and validation testing within a regulated product development environment
• Experience analyzing physiological signals, biosensor data, device data, or similar time-series datasets
• Strongproficiencyin Python for data analysis, algorithm development, automation, or software development
• Experience with statistical analysis and interpretation of experimental and clinical datasets
• Understanding of signal processing and digital signal analysis methodologies
• Familiarity with algorithm and machine learning model development and testing methods
• Strong technical writing skills with experience producing protocols, reports, specifications, and other controlled documentation
• Strong analytical and troubleshooting skills with the ability to investigate and resolve complex technical problems
• Ability to independently manage multiple projects and priorities in a fast-paced, cross-functional environment
• Excellent communication skills with the ability to clearly communicate technical findings to both technical and non-technical stakeholders

Preferred Qualifications:

• Experience supporting clinical research studies, clinical data analysis, or human subjects research
• Experience with C++, SQL, Git, and modern software development workflows
• Experience developing automated test systems, data processing pipelines, or research tools
• Experience developing or evaluating algorithms and machine learning models using physiological or clinical data
• Experience with embedded firmware development and testing
• Strong understanding of software development principles and version control practices
• Familiarity with FDA Design Controls and medical device Quality Management Systems
• Knowledge of Good Clinical Practice (GCP), HIPAA, patient data privacy requirements, and healthcare data security best practices
• Experience working with wearable medical devices, neurostimulation technologies, biosensors, or other connected health products

Compensation:

• Base Pay: $130,000–$150,000 per year
• Annual Bonus Eligibility