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- Tasks: Design algorithms to analyse physiological data from wearable sensors and develop signal processing pipelines.
- Company: Join an innovative wearable medical tech company at a pivotal growth stage.
- Benefits: Competitive salary, flexible working options, and opportunities for professional development.
- Other info: Collaborative environment with exciting challenges in digital health technology.
- Why this job: Make a real-world impact by translating complex data into meaningful health insights.
- Qualifications: Strong background in signal processing and experience with MATLAB or Python.
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
- 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
- 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.
Senior Data Scientist in Loughborough employer: CURE TALENT LIMITED
Contact Detail:
CURE TALENT LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in Loughborough
✨Tip Number 1
Network like a pro! Reach out to people in the wearable tech and medical fields. Attend meetups, webinars, or conferences where you can connect with industry insiders. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to signal processing and physiological data analysis. Use GitHub or a personal website to display your work. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with algorithms, MATLAB, and Python. Practise explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Senior Data Scientist in Loughborough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with signal processing and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about wearable medical technology and how your background in data science can contribute to our mission. Keep it engaging and personal!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in MATLAB, Python, or any other tools you’ve used for developing algorithms. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at CURE TALENT LIMITED
✨Know Your Signal Processing Inside Out
Make sure you brush up on your signal processing knowledge, especially techniques like filtering and noise reduction. Be ready to discuss how you've applied these in past projects, particularly with physiological data.
✨Showcase Your Coding Skills
Since the role requires experience with MATLAB or Python, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your algorithm development abilities.
✨Prepare for Real-World Applications
Think about how your work can translate into clinical settings. Be ready to discuss specific examples of how you've turned complex data into actionable insights, especially from wearable sensors. This will show your understanding of the practical implications of your work.
✨Collaborate and Communicate
This role involves working with various teams, so highlight your collaboration skills. Prepare examples of how you've successfully worked with engineering or clinical teams in the past, and be ready to discuss how you approach teamwork and communication.