Jobs at LifeLens Technologies

Leads retrospective analysis of wearable sensor and physiological data, developing analysis tools, metadata systems, visualizations, statistical models, and machine learning workflows. Investigates data anomalies across hardware-to-cloud systems, curates large heterogeneous datasets, defines analytical requirements, and translates complex data into products and reports for technical, executive, and end-user audiences. Collaborates with engineering, product, and business stakeholders while establishing analytical standards and tooling.

Develops and deploys algorithms that generate physiologic insights from wearable health sensor data. Responsibilities include coding scalable processing pipelines for streaming and historical data, designing and testing machine learning workflows, conducting statistical analyses, visualizing results, documenting work, and collaborating across engineering teams to improve medical device products.

Develop firmware for wearable patient-monitoring devices, including low-level drivers and application features. Troubleshoot test setups, perform failure analysis, manage timelines and documentation, create conformance test procedures, analyze test data, and support product development under medical device design controls. Work includes sensors, communication protocols, power management, RTOS platforms, and embedded systems.

Develops hardware and firmware requirements for medical wearable devices, wireless gateways, and networking applications. Gathers customer needs, creates use cases and traceability documentation, supports prototyping and design reviews, participates in usability studies, and assists with user manuals and project documentation. The role includes customer-site travel to hospitals, laboratories, and military bases, with collaboration across executives, deployment engineers, and hardware and firmware development teams.

Develop and validate biomedical signal-processing algorithms for wearable devices using PPG, ECG, accelerometry, and other sensors. Analyze clinical and field datasets, address motion artifacts, adapt algorithms for real-time embedded implementation, and design validation studies. Produce verification and regulatory submission documentation, write reproducible code, collaborate with hardware, firmware, and clinical teams, communicate technical findings, and mentor junior team members.

Develop and validate signal-processing algorithms for wearable health devices using PPG, ECG, and accelerometer data. Analyze clinical and field datasets, address motion artifacts, build data-processing pipelines, adapt algorithms for real-time device use, and support clinical validation and regulatory documentation. Collaborate with hardware, firmware, clinical, and engineering teams while producing tested, reproducible code and communicating technical findings.

Designs, debugs, verifies, and documents electrical hardware for wearable medical devices. Responsibilities include schematic and PCB development, BOM creation, RF and antenna design, power management, manufacturing transfer, testing, certification, electrical safety, EMC compliance, RoHS compliance, and hardware improvement projects. The role collaborates with contract manufacturers, certification laboratories, and internal engineering and manufacturing teams.

Performs manual and automated software, hardware, and firmware testing across smoke, regression, integration, and end-to-end scenarios. Creates test plans, procedures, and cases; analyzes results; documents defects; reviews requirements and designs; collaborates with developers; and manages testing timelines and documentation. The role is full-time and on-site, with up to 25% customer travel.

Leads process development, validation, risk analysis, and continuous improvement for medical device manufacturing. Develops and validates stable production processes, conducts trials and DOE studies, evaluates materials and process changes, establishes acceptance criteria, and authors technical reports. Collaborates with Quality, R&D, engineers, and technicians while supporting manufacturing operations, implementing equipment safety protocols, and leading process improvement initiatives.