Signal Processing Engineer
We are partnered with an emerging wearable medical technology company at a defining stage of its growth. We need a Signal Processing Engineer to join the Data Science team and support the development of algorithms and modelling techniques used to interpret complex physiological signals collected from non‑invasive wearable sensors.
As a Signal Processing Engineer you will design signal‑processing pipelines and analytical models capable of extracting clinically meaningful cardiorespiratory and haemodynamic metrics from real‑world sensor data. This hands‑on role works closely with data science, engineering and clinical teams to develop and refine algorithms that underpin the company’s wearable monitoring technology, and contributes to experimental design and data analysis from internal testing and controlled clinical studies.
Responsibilities
* Design and implement signal‑processing pipelines for analysing non‑invasive physiological signals collected from wearable sensors.
* Develop algorithms and modelling techniques to extract clinically meaningful metrics related to cardiorespiratory and haemodynamic function.
* Analyse complex physiological time‑series data, including signals such as ECG, PPG and other non‑invasive biosignals.
* Support the design of experiments and analyse data generated through internal testing and controlled clinical studies.
* Work closely with Data Science and Engineering teams to integrate algorithms into software systems and product architectures.
* Collaborate with clinical and product teams to align algorithms with physiological understanding and clinical requirements.
Qualifications
* Demonstrated experience in signal‑processing and analysis of physiological or time‑series data.
* Strong understanding of signal‑processing techniques including filtering, noise reduction and feature extraction.
* Experience developing algorithms or modelling techniques used to interpret physiological signals.
* Experience working with non‑invasive physiological signals, particularly cardiorespiratory or haemodynamic signals.
* Programming experience using environments commonly used for signal‑processing and modelling such as MATLAB, Python or similar high‑level languages.
* Experience designing experiments and analysing data generated through controlled studies or experimental testing.
* Bachelor’s degree in Electrical Engineering, Biomedical Engineering, Computer Science, Physics, Applied Mathematics or a related quantitative discipline is required. A Master’s or PhD in a relevant field is advantageous.
This is a high‑impact opportunity within a growing wearable MedTech business where signal‑processing and physiological modelling are central to the development of next‑generation monitoring technologies.
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