Please
‼️
ONLY APPLY
‼️
if you have worked with ECG (electrocardiogram) signal processing and use AI tools on a daily basis.


Remote position - EU time zone.

Job Summary:

We're hiring a
Data Scientist
to advance the algorithms behind our ECG analysis platform. You'll sharpen
arrhythmia classification, ECG interval detection
(PR, QRS, QT), and
signal quality
— choosing the right technique for each problem, from classical signal-processing and delineation through to machine learning.

If you bring deep, versatile biosignal-processing expertise and enjoy problems where the data doesn't arrive clean, we'd love to talk.

The ideal candidate will have experience in
ECG signal processing, machine learning model development
, and
AI-driven diagnostics
in healthcare applications.

Key Responsibilities:
- Improve and extend the arrhythmia-classification algorithms, raising accuracy and robustness on messy, real-world recordings.
- Advance ECG interval detection (PR, QRS, QT/QTc, RR) across resting ECG,



selecting the right method for each problem rather than forcing one approach.
- Strengthen signal quality through denoising, baseline-wander removal, and artifact suppression.
- Build delineation and interval-measurement methods that hold up with little or no labelled data, and design sound strategies to validate them.
- Define and run algorithm evaluation against clinical ground truth — reporting classification metrics and interval-level error, and iterating to clinical-grade performance.
- Partner with the ECG technician and annotation team to specify, review, and improve labelling workflows and the quality of ground-truth data.
- Document algorithms, datasets, and experiments to support quality and regulatory requirements.

Required skills (must-have):
- Solid Python and the scientific stack (NumPy, SciPy, pandas, scikit-learn).
- Broad, hands-on command of biosignal processing for ECG — not limited to any single family. This spans wavelet transforms (DWT / SWT / CWT /

📌 Data Scientist – ECG Signal Processing (India)
🏢 Cardiolyse
📍 India