Clinical Research Engineer

Noctrix Health•Pleasanton, CA

5h•$130,000 - $150,000•Hybrid

About The Position

Noctrix Health is redefining the treatment of chronic neurological disorders with clinically validated therapeutic 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 with Noctrix Health. We are seeking a versatile and highly motivated Clinical Research Engineer to support research, development, testing, and data analysis initiatives within Noctrix Health’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.

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 a Master’s degree 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
Strong proficiency in 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

Nice To Haves

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

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 to identify trends, 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 within Noctrix medical 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 documented in accordance with applicable 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