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 / wavelet packets), de

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