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Data scientist – ecg signal processing & ai development
Cardiolyse
📍
mumbai, India
Location
mumbai
Posted
June 15, 2026
Commute
Local Area
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This job is in your area. Enjoy a short commute and work close to home.
Job Description
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 ...
‼️
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 ...