Data Scientist ECG Signal Processing & AI
- Bridgestone- Global
- 3 to 7 Yrs
- All India
- 4 months ago
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Job Description
- You should have prior experience working with ECG (electrocardiogram) signal processing to be eligible for this role. As a Data Scientist, you will be responsible for leveraging Python, MATLAB, Machine Learning, and Biomedical Signal Processing to develop, test, train, and evaluate data models specifically focused on ECG signals. Your primary objective will be to build and optimize AI-driven solutions for ECG interpretation within healthcare applications. Your key responsibilities will include developing, training, and evaluating machine learning models for ECG interpretation, performing ECG signal processing, feature extraction, and data preprocessing, implementing and optimizing algorithms for ECG classification, anomaly detection, and arrhythmia prediction. You will also work with Python and MATLAB to analyze large-scale ECG datasets, develop AI-driven solutions for real-time and offline ECG analysis, collaborate with various professionals to refine AI models, validate and benchmark models against clinical datasets and regulatory standards, as well as research and implement state-of-the-art deep learning techniques for physiological signals. Additionally, you will be expected to document findings and contribute to scientific publications, patents, and technical reports. To excel in this role, you should possess strong proficiency in Python and MATLAB for scientific computing and machine learning, experience in biomedical signal processing with a focus on ECG signal analysis, knowledge of supervised and unsupervised learning techniques for healthcare data, proficiency in frameworks like TensorFlow, PyTorch, or Scikit-learn, familiarity with feature extraction techniques, time-series analysis, and DSP methods, hands-on experience with deep learning architectures (CNNs, RNNs, Transformers) for signal analysis, experience working with large-scale healthcare datasets and regulatory compliance standards, a strong understanding of statistical modeling, feature engineering, and classification techniques, and the ability to write clean, maintainable, and well-documented code. Preferred qualifications for this role include experience with cloud-based AI deployment (AWS, Google Cloud, or Azure), prior experience in ECG-based diagnostics, wearable health tech, or clinical AI applications, familiarity with explainable AI (XAI) methods for healthcare model interpretability, knowledge of FDA/CE medical device regulatory processes and validation frameworks, and experience in publishing research in scientific journals or conferences.,
Employement Category:
Employement Type: Full timeIndustry: Medical / HealthcareRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Data Scientist ECG Signal Processing & AIContact Details:
Company: CardiolyseLocation(s): All India
Keyskills: Python MATLAB Machine Learning Feature Extraction Algorithms Anomaly Detection Deep Learning Transformers Statistical Modeling TensorFlow PyTorch
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Bridgestone Americas, Inc. (BSAM) is the U.S. subsidiary of Bridgestone Corporation, the worlds largest tire and rubber company. Bridgestone and its subsidiaries employ over 140,000 people worldwide, operate 178 plants in 25 nations, and sell products in more than 150 countries worldwide. One in ...
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