Biomedical Signal Processing Scientist
1 hour ago
Company Description
At ONLYQ, we’re reimagining what a health wearable can be.
No screens.
No noise.
Just pure physiological intelligence, wrapped in a design that feels invisible but works continuously for you.
We’re building the next-generation screenless health band powered by:
- Clinical-grade ECG & PPG
- Bioimpedance + Temperature sensing
- IMU fusion
- AI-driven biomarker analytics
- Women’s health & autonomic intelligence
- Preventive, personalised insights
Our mission:
A Lab on Hand — for every human.
ONLYQ is a self-funded initiative by the founders of Cymetree Projects LLP, giving us the freedom to innovate with long-term vision and global ambition.
And now, we’re assembling our core team
Role Description
This is a full-time, on-site role for a Biomedical Signal Processing Scientist based in the Pune/Pimpri-Chinchwad Area. The responsibilities include developing and applying advanced signal processing algorithms to analyze biomedical data, collaborating closely with interdisciplinary teams to design and validate new methodologies, and contributing to the enhancement of wearable health monitoring technologies. The position also involves interpreting complex datasets, conducting research, and generating insights to support product innovation in healthcare analytics.
Qualifications
- Strong expertise in Biomedical Signal Processing and proficiency in analyzing signals such as EEG, ECG, or other physiological signals
- Experience with programming languages and tools such as MATLAB, Python, or R for algorithm development and data analysis
- Knowledge of advanced statistical analysis, filtering techniques, and feature extraction methods relevant to biomedical data
- Familiarity with machine learning and AI applications used in biomedical contexts
- Ability to collaborate effectively within cross-functional teams including engineers, clinicians, and data scientists
- A Master’s or Ph.D. degree in Biomedical Engineering, Signal Processing, Medical Physics, or related disciplines
- Strong problem-solving skills, attention to detail, and a passion for innovation in health technology
- Experience working with wearable devices, medical data, or healthcare-focused R&D is a plus
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