Role Summary

We are looking for a Biometric Data Scientist to design and deploy the core intelligence engine for our wearable platform. You will be responsible for translating raw sensor streams (PPG optical heart rate, R-R intervals, accelerometry, and skin temperature) into actionable, validated physiological scores—including Daily Strain, Nervous System Recovery, and Sleep Stage Classification.

Key Responsibilities

- Algorithm Development: Design mathematical and machine learning models to calculate Heart Rate Variability (HRV - RMSSD/SDNN), Resting Heart Rate (RHR), cardiovascular Strain, and Sleep Architecture (Light, Deep, REM, Awake).

- Signal Processing &
- Noise Filtering:

Develop digital filters to detect and remove motion artifacts caused by movement during workouts or restless sleep using multi-axis accelerometer fusion.

- Biometric Calibration: Establish personalized rolling baselines (e.g., 14 to 30-day moving averages) to normalize scores based on individual user physiology.

- Validation &

- Benchmarking:

Validate proprietary algorithms against clinical ground-truth devices (e.g., Polysomnography for sleep, ECG/Holter monitors for HRV).





- Production Deployment: Convert prototype Python/R algorithms into optimized, production-ready modules (or C++/C bindings) for execution in cloud services or mobile edge pipelines.

Required Technical Stack &

- Qualifications

- Education: M.S. or Ph.D. in Biomedical Engineering, Computational Neuroscience, Signal Processing, Data Science, or a related quantitative field.

- Signal Processing: Deep expertise with digital signal processing (DSP), time-frequency analysis, Butterworth/Kalman filtering, and PPG/ECG waveform processing.

- Languages &
- Tools:

High proficiency in Python (NumPy, SciPy, Pandas, scikit-learn, PyTorch or TensorFlow) and SQL.

- Domain Knowledge: Expert understanding of autonomic nervous system dynamics, cardiovascular response to physical exertion, and circadian rhythm science.

Preferred Experience

- Prior experience working specifically with wearable sensor data (smartwatches, chest straps, or smart rings).

- Familiarity with clinical health data standards and medical device algorithm validation

📌 Senior Biometric Data Scientist (Wearables & Health Signals) (Bengaluru)
🏢 ERBrains
📍 Bengaluru