Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop algorithms to interpret complex physiological data from wearable sensors.
- Company: Innovative wearable medical tech company at a pivotal growth stage.
- Benefits: Competitive salary, flexible working, and opportunities for professional development.
- Other info: Collaborative environment with exciting projects in digital health.
- Why this job: Make a real impact on healthcare with cutting-edge technology and data science.
- Qualifications: Strong signal processing experience and proficiency in 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
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.
Senior Data Scientist (Signal Processing) in Hathern employer: Cure Talent Ltd
Contact Detail:
Cure Talent Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (Signal Processing) in Hathern
✨Tip Number 1
Network like a pro! Reach out to people in the wearable tech and medical fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there. You never know who might have a lead on that Senior Data Scientist role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your signal processing projects, especially those involving physiological data. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss algorithms, noise reduction techniques, and your experience with MATLAB or Python. Practice 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. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s make some waves in the wearable tech space together!
We think you need these skills to ace Senior Data Scientist (Signal Processing) in Hathern
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in signal processing and time-series analysis. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
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 makes you a perfect fit for our team. Let us know what excites you about the role!
Showcase Your Technical Skills: Since this role is hands-on, make sure to mention your proficiency in tools like MATLAB or Python. If you've developed algorithms or worked with non-invasive physiological signals, we want to hear all about it!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Cure Talent Ltd
✨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 abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your algorithm development skills.
✨Familiarise Yourself with Wearable Tech
If you have experience with wearable sensors or digital health technologies, make sure to highlight it. Discuss any relevant projects where you’ve worked with non-invasive physiological signals, as this will show your direct relevance to the role.
✨Prepare for Collaborative Questions
This position involves working closely with engineering and clinical teams. Think of examples from your past where you successfully collaborated across disciplines, and be ready to explain how you can contribute to a team environment.