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 qualityAnalyze small- and large-scale clinical, physiological, and device datasets to identify trends, generate insights, and support product and clinical decision-makingPerform physiological signal processing, waveform analysis, and interpretation of biosensor and device-generated dataDevelop and execute verification and validation protocols for software, firmware, algorithms, and medical device systemsContribute to the design, development, and testing of firmware components and embedded systems used within Noctrix medical devicesSupport device characterization, use-case testing, performance evaluations, and root cause investigationsDevelop automated testing and data analysis workflows to improve the efficiency and repeatability of research and engineering activitiesApply statistical methods to experimental and clinical datasets and interpret results in support of clinical research and product developmentSupport algorithm and machine learning model development, evaluation, and testing where applicableCollaborate with cross-functional teams to define technical requirements, design experiments, develop and test systems, and solve complex technical problemsSupport clinical research studies through data collection, analysis, technical troubleshooting, and interpretation of study resultsPrepare clear technical documentation, including research findings, technical specifications, test protocols, test reports, and engineering recordsEnsure technical and research activities are appropriately documented in accordance with applicable Quality System and regulatory requirementsPartner 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 experienceExperience developing, testing, or supporting medical devices, wearable health technologies, or similar regulated productsExperience working across multiple technical domains, including software development, data analysis, testing, and embedded systemsExperience supporting research or product development activities from concept through commercialization within a Design Control environmentHands-on experience developing and executing verification and validation testing within a regulated product development environmentExperience analyzing physiological signals, biosensor data, device data, or similar time-series datasetsStrong proficiency in Python for data analysis, algorithm development, automation, or software developmentExperience with statistical analysis and interpretation of experimental and clinical datasetsUnderstanding of signal processing and digital signal analysis methodologiesFamiliarity with algorithm and machine learning model development and testing methodsStrong technical writing skills with experience producing protocols, reports, specifications, and other controlled documentationStrong analytical and troubleshooting skills with the ability to investigate and resolve complex technical problemsAbility to independently manage multiple projects and priorities in a fast-paced, cross-functional environmentExcellent 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 researchExperience with C++, SQL, Git, and modern software development workflowsExperience developing automated test systems, data processing pipelines, or research toolsExperience developing or evaluating algorithms and machine learning models using physiological or clinical dataExperience with embedded firmware development and testingStrong understanding of software development principles and version control practicesFamiliarity with FDA Design Controls and medical device Quality Management SystemsKnowledge of Good Clinical Practice (GCP), HIPAA, patient data privacy requirements, and healthcare data security best practicesExperience working with wearable medical devices, neurostimulation technologies, biosensors, or other connected health products Compensation:Base Pay: $130,000–$150,000 per yearAnnual Bonus Eligibility