Cure Talent are delighted to be partnered with an emerging wearable medical technology company at a defining stage of its growth. Developing next-generation physiological monitoring solutions, this organisation is advancing its data science and sensing capabilities to deliver medical-grade insights beyond the hospital environment.
We have an opportunity for a Senior Data Scientist (Signal Processing) to join the team and play a key role in developing algorithms and modelling techniques used to interpret complex physiological data from non-invasive wearable sensors.
This is a hands-on, technically focused role working at the intersection of signal processing, machine learning, and physiology, translating real-world sensor data into clinically meaningful insights.
Key responsibilities
* Design and implement signal processing pipelines to analyse non-invasive physiological data
* Develop algorithms and models to extract clinically relevant cardiorespiratory and haemodynamic metrics
* Analyse complex time-series data from wearable sensors, including noisy real-world signals
* Support experimental design and analyse data from internal testing and controlled clinical studies
* Collaborate with engineering, data science, and clinical teams to integrate algorithms into products
Experience and skills required
* Strong experience in signal processing and analysis of time-series or physiological data
* Experience developing algorithms or models using MATLAB, Python, or similar high-level tools
* Understanding of techniques such as filtering, noise reduction, and feature extraction
* Experience working with non-invasive physiological signals (e.g. ECG, PPG, respiratory data)
* Ability to design experiments and work with real-world and clinical datasets
Nice to have
* Experience working with wearable sensors or digital health technologies
* Exposure to machine learning techniques applied to signal or physiological data
* Understanding of cardiorespiratory physiology or haemodynamics
* Experience translating algorithms into production or embedded environments
* Familiarity with C/C++ or similar for deployment
If you’re a Data Scientist with strong signal processing experience and an interest in applying your work to real-world physiological challenges, we’d love to hear from you
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