Data Scientist - Biomedical Signal Processing
Tasks
- Advise data pipeline and training strategy
- Analyze physiological signal datasets and data quality
- Apply signal filtering noise reduction and transformations
- Build feature extraction pipelines from physiological data
- Define evaluation metrics and validation approach
- Define feature engineering approach for biosignals
- Design model architecture for real time predictions
- Improve model accuracy through experimentation and iteration
- Integrate models with engineering team
- Process low frequency physiological signals
- Recommend signal preprocessing and filtering strategies
- Support real time inference and model performance optimization
- Train and optimize machine learning models
Perks/Benefits
Skills/Tech-stack
Biomedical Data | ECG | EEG | EOG | Feature Engineering | Feature extraction | Machine Learning | Model Deployment | NumPy | Pandas | Python | Real Time | Real-time Inference | SciPy | Scikit-learn | Series analysis | Signal Processing | Time Series | Time Series Analysis
Education
N/A
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