Sports Biomechanics Data Scientist

Health Innovation Research Alliance Northern Ireland; Belfast; On-site; GBP 35,000 - 50,000; Full time

Job summary

A leading research organization is seeking a Sports Biomechanics Data Scientist to translate wearable sensor data into insights for athlete performance. This role requires expertise in biomechanics and strong programming skills, focusing on developing algorithms for real-time analysis and performance improvement. The candidate should possess solid data analysis abilities and a passion for innovation in the sports domain.

Qualifications

• Strong foundation in biomechanics and human movement analysis.
• Proficiency in programming languages like Python, MATLAB, or C++.
• Experience with wearable sensor data and real-time feedback systems.

Responsibilities

• Collect, process, and analyse biomechanical data.
• Design and develop algorithms for motion analysis.
• Integrate machine learning techniques into biomechanical analysis.

Skills

Biomechanics expertise

Programming in Python

Signal processing techniques

Machine learning knowledge

Data analysis skills

Problem-solving abilities

Job description

Overview

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.

Responsibilities

• 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 / Qualifications

• 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