Biomedical Signal Processing Scientist

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