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.
