Bioelectronics Engineer (Wearable Health Monitoring) InnerGize

3.0 - 7.0 years

0 Lacs

delhi

On-site

As a Bioelectronics Engineer at InnerGize, you will utilize your expertise in signal processing, algorithm development, and health parameter monitoring to contribute to the development of IoT-based wearable devices focused on mental wellness. Your role will involve working with multimodal biosignals such as PPG, GSR/EDA, Accelerometer, ECG, and EEG, including signal acquisition, preprocessing, and time-series analysis. Collaborating closely with hardware, data science, and product teams, you will play a key role in translating raw biosignal data into actionable health insights, with a particular focus on stress, sleep, cognitive performance, and overall well-being. The ideal candidate will have a strong background in experimental research and machine learning for biological signal processing. To excel in this role, you should possess a Masters or PhD in Biomedical Engineering, Electrical/Electronics Engineering, Neuroengineering, or a related field. Your expertise should include in-depth knowledge of signal preprocessing techniques for physiological signals, proficiency in time-series data analysis, and hands-on experience with experimental research, including data collection and working with experimental hardware. Strong proficiency in Python programming for data processing, algorithm development, and machine learning model implementation using libraries such as NumPy, SciPy, pandas, scikit-learn, TensorFlow, and PyTorch is essential. Additionally, you should have experience in Digital Signal Processing (DSP) and health parameter monitoring algorithms, particularly in the context of biosignal analysis related to heart rate variability, stress, sleep, and cognitive performance. With a minimum of 3 years of experience in contributing to health monitoring systems, including real-world deployment or regulatory trials, you should possess a solid understanding of machine learning models and mathematical modeling for biosignal analysis. If you are passionate about leveraging your expertise to drive innovation in mental health wearable technology and are eager to make a meaningful impact on individuals" well-being, we invite you to join our dynamic team at InnerGize.,

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