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.