Data Scientist – ECG Signal Processing & AI Development

Cardiolyse

Join Cardiolyse to develop algorithms for ECG signal processing, evaluating clinical performance metrics and refining models for clinical applications.

Last checked on June 12, 2026. We may earn a commission when you click through.

If you're looking to make a significant impact in health tech through data science, this role at Cardiolyse could be a great fit.

✓ Innovative work in healthcare technology ✓ Ability to influence clinical outcomes ✓ Collaborative team environment

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Data Scientist – ECG Signal Processing & AI Development

Cardiolyse

Updated 1 month ago

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Mumbai

If you're looking to make a significant impact in health tech through data science, this role at Cardiolyse could be a great fit.

About this role

Join Cardiolyse to develop algorithms for ECG signal processing, evaluating clinical performance metrics and refining models for clinical applications.

About the Company

Cardiolyse is pioneering advancements in cardiac health technology through the integration of AI and data analytics.

Key Highlights

✓ Focus on clinical-grade performance evaluation
✓ Work with imbalanced and limited clinical data
✓ Emphasis on key metrics: sensitivity, specificity, PPV, F1, and AUC
✓ Opportunity to innovate in ECG signal processing

💡 Honest Take: This position is ideal for data scientists passionate about healthcare and algorithm development, but may not suit those without clinical data experience.

Pros

✓ Innovative work in healthcare technology
✓ Ability to influence clinical outcomes
✓ Collaborative team environment
✓ Focus on advanced data analytics

Cons

✗ Limited to specific clinical datasets
✗ Potentially high-pressure environment
✗ Not a remote position
✗ May require extensive prior experience

Best For: Ideal for professionals with a background in data science and a passion for improving patient outcomes through technology.

Watch Out: Be prepared for challenges related to working with incomplete datasets and the need for precise evaluation metrics.

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What Customers Say

Current employees appreciate the innovative projects but mention the challenges of working with clinical data.

Expert Review

The Data Scientist position at Cardiolyse offers engage in ECG signal processing and AI development. Candidates will define and run algorithm evaluations against clinical ground truth, focusing on metrics such as sensitivity and specificity. This role emphasizes a disciplined approach to handling imbalanced and limited clinical data.

What sets this role apart is the chance to iterate toward clinical-grade performance, which is essential for making impactful healthcare advancements. However, potential applicants should ensure they have the required experience with clinical datasets, as this is not a beginner-level role.

working in a non-remote capacity may suit some candidates better, while others may find the commute to Mumbai a drawback. Cardiolyse's focus on real-world applications of data science makes it an attractive choice for those looking to make a difference in cardiac health.

Overall, this position about data; it’s about improving lives through technology. Interested candidates can find more details on the official site: https://in.talent.com/redirect?acquisition_sub_id=10101&bpid=c11508eda44ad096325c49c3d3e07b78&channel_1=default&channel_2=default&channel_3=default&context=api&eligible=yes&falcon=1&id=623407032418961477&initiator=construction+entry+level+laborer&is_gl=0&l=Mumbai&pc=21&pid=6916677b9481&publisher=7c2b7e61c1.