Senior Algorithms Engineer- wearable medical device

Our client is a well-funded innovator in the development and commercialization of wearable (non-invasive) health monitoring wearable platforms specifically for patients suffering from a range of cardiovascular and neurological disorders. They have immediate need for a Senior Algorithms Engineer, with a strong background in biomedical signal processing, machine learning, or related field. This role is focused on interpreting time-series signals from wearable devices in both post-processing and real-time contexts for interpreting predictive physiologic data to provide relevant status to patients and physicians. Key Responsibilities: Design, build, validate, and optimize signal processing, machine learning and deep learning models for time-series biomedical signal analysis Lead biomarker discovery and feature engineering initiatives, including planning and managing short-term and long-term project timelines with deliverables and performance targets Collaborate with hardware and embedded teams to transition algorithms into low power implementations Document processes and results to comply with internal and FDA-regulated processes Contribute to research publications, IP development, and technical strategy Qualifications (required and/or preferred): Masters (or PhD) in Biomedical/Electrical/Computer Engineering, Computer Science, or a related field 3+ years relevant industry (beyond academic & research) experience in time-series biomedical signal analysis (e.g., EEG, ECG, PPG, EMG, IMU) Strong experience in machine learning, model development, statistical modeling, and signal processing techniques Fluent in Python, NumPy, SciPy, PyTorch/TensorFlow, scikit-learn Proven ability to write clean, efficient, production-quality code Experience translating research algorithms into deployable systems, including generation of required documentation and implementing traceability of testing/validation processes Experience in biomarker discovery and physiological feature extraction Experience optimizing algorithms to improve performance within constraints Familiarity with edge deployment frameworks including Swift, C/C++, LiteFlite, etc. #J-18808-Ljbffr HealthCare Recruiters International