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- Tasks: Transform wearable sensor data into real-time insights for athlete performance and injury prevention.
- Company: Join Movetru, a leader in sports biomechanics and data science.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on athlete performance while innovating in biomechanics.
- Qualifications: Strong biomechanics background, programming skills, and passion for sports.
- Other info: Collaborate with diverse teams and stay at the forefront of biomechanics advancements.
The predicted salary is between 36000 - 60000 £ per year.
Movetru is searching for a Sports Biomechanics Data Scientist who combines biomechanics expertise with data science and algorithm development to transform wearable sensor data into real-time insights for athlete performance and injury mitigation.
Role:
- Collect, process, and analyse biomechanical data to understand movement patterns and identify performance metrics.
- Design and develop algorithms and models for motion analysis, injury mitigation, and performance improvement.
- Apply signal processing techniques to clean, filter, and process raw data from sensors.
- Integrate machine learning techniques into biomechanical analysis for personalised insights and predictive analytics.
- Test and validate algorithms against experimental data or real-world scenarios to ensure accuracy and reliability.
- Work with multidisciplinary teams, including engineers, sports scientists, and researchers to refine models and algorithms.
- Develop algorithms that enable real-time analysis and feedback for wearable devices and mobile/web applications.
- Document algorithm specifications, validation procedures, and results in technical reports.
- Stay updated on advancements in biomechanics and algorithm development, iterating on current models to improve accuracy and efficiency.
Profile:
- Strong foundation in biomechanics and human movement analysis with a passion for sports.
- Proficiency in programming languages like Python, MATLAB, or C++ for algorithm development.
- Experience with signal processing techniques to process data from wearable sensors.
- Knowledge of machine learning and data science for predictive modelling and personalised analysis.
- Skilled in mathematical modelling and simulation for human movement or biomechanical analysis.
- Experience with wearable sensor data and real-time feedback systems for movement monitoring.
- Strong data analysis skills including statistical and quantitative analysis for biomechanical data interpretation.
- Ability to validate and test algorithms to ensure accuracy and robustness.
- Effective collaboration skills to work with multidisciplinary teams in R&D environments.
- Passionate about continuous learning and innovation in biomechanics and algorithm engineering.
- Strong problem-solving and analytical skills.
- Someone who enjoys working to key deadlines.
- Ability to commence on pre-existing work and commence new work packages.
- An ability to work autonomously to meet deadlines.
- Can speak and write English to a good standard.
- Must be legally able to work within the UK.
Sports Biomechanics Data Scientist in Belfast employer: HIRANI
Contact Detail:
HIRANI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sports Biomechanics Data Scientist in Belfast
✨Tip Number 1
Network like a pro! Reach out to professionals in biomechanics and data science on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your passion for the field.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects, especially those involving wearable sensors and algorithm development. This will give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with signal processing and machine learning techniques. 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 love seeing candidates who are genuinely interested in joining us at Movetru. Tailor your application to highlight how your skills align with our mission in sports biomechanics.
We think you need these skills to ace Sports Biomechanics Data Scientist in Belfast
Some tips for your application 🫡
Show Your Passion for Biomechanics: Let us see your enthusiasm for biomechanics and sports in your application. Share any relevant projects or experiences that highlight your expertise and passion for the field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to match the job description. Highlight your skills in programming, data analysis, and algorithm development, and how they relate to the role of a Sports Biomechanics Data Scientist.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and skills, making it easy for us to see why you’re a great fit for the team.
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 during the process.
How to prepare for a job interview at HIRANI
✨Know Your Biomechanics
Brush up on your biomechanics knowledge before the interview. Be ready to discuss how you can apply your expertise to analyse movement patterns and improve athlete performance. Show them you understand the nuances of human movement analysis!
✨Show Off Your Coding Skills
Make sure you're comfortable with programming languages like Python, MATLAB, or C++. Prepare to talk about specific projects where you've developed algorithms or processed data from wearable sensors. They’ll want to see your technical prowess in action!
✨Demonstrate Your Data Analysis Savvy
Be prepared to discuss your experience with signal processing techniques and how you've used statistical analysis to interpret biomechanical data. Bring examples of how you've validated algorithms and ensured their accuracy in real-world scenarios.
✨Collaboration is Key
Movetru values teamwork, so highlight your experience working with multidisciplinary teams. Share examples of how you've collaborated with engineers, sports scientists, or researchers to refine models and algorithms. Show them you’re a team player who thrives in R&D environments!
