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