Senior Data Scientist (Signal Processing)

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