At a Glance
- Tasks: Develop algorithms to analyse physiological data from wearable sensors and create impactful medical insights.
- 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 projects in digital health technology.
- Why this job: Make a real difference in healthcare by translating complex data into meaningful insights.
- Qualifications: Strong signal processing experience and proficiency in MATLAB or Python required.
The predicted salary is between 60000 - 80000 £ per year.
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 (Signal Processing) in Loughborough employer: Cure Talent
Join a dynamic and innovative medical device manufacturer in Slough, where your role as Procurement Manager will not only enhance your career but also contribute to meaningful healthcare solutions. With a strong focus on employee development, a collaborative work culture, and the opportunity to manage significant procurement budgets, this position offers a unique chance to make a real impact while enjoying a supportive environment that values growth and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (Signal Processing) in Loughborough
✨Tip Number 1
Network like a pro! Reach out to professionals in the wearable tech and medical fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for signal processing.
✨Tip Number 2
Showcase your skills! Create a portfolio of projects that highlight your experience with signal processing and time-series analysis. Use GitHub to share your code and demonstrate your problem-solving abilities with real-world data.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with algorithms, MATLAB, and Python. Practice explaining complex concepts in simple terms, as you might need to communicate with non-technical team members.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Scientist (Signal Processing) in Loughborough
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. We love hearing personal stories that connect your experience to our mission.
Showcase Your Technical Skills:When applying, make sure to mention your proficiency in MATLAB, Python, or any other tools you've used for developing algorithms. We’re keen on seeing how you’ve applied these skills in real-world scenarios, especially with physiological data!
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 gives you a chance to explore more about our company and culture!
How to prepare for a job interview at Cure Talent
✨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 relates to algorithm development.
✨Familiarise Yourself with Wearable Tech
Research the latest trends in wearable medical technology and be prepared to discuss how your experience aligns with their products. Understanding the challenges of working with non-invasive sensors will give you an edge.
✨Prepare for Collaborative Scenarios
This role involves working closely with engineering and clinical teams. Think of examples where you've successfully collaborated across disciplines, and be ready to share how you can contribute to a team environment.
