Clinical Research Engineer

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.  This position reports to the Chief Scientific Officer.  This is a full-time, hybrid position located in 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 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   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   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