Job Title: Sport Scientist – Biomechanics 

Overview: A sports biomechanist works to enhance athletic performance and prevent injuries by studying the movements and mechanics of the human body during sports activities. This role involves conducting research, analyzing movement patterns,testing and collaborating with coaches, athletes, and medical professionals to implement biomechanical improvements.

Key Responsibilities:

1. Performance Testing and Analysis:
   • Conduct thorough performance assessments utilizing standardized protocols and advanced measurement tools.
   • Analyze athlete performance data to identify strengths, weaknesses, and areas for improvement.
   • Provide actionable insights to coaches and athletes based on performance test results and analysis.
2. Research:
   • Contribute to research projects aimed at advancing knowledge in sports science and performance analysis.
   • Collaborate with researchers to design experiments, collect data, and analyze findings.
   • Stay current with emerging trends and developments in performance testing and analysis.
3. Data Analytics:
   • Utilize sophisticated data analytics techniques to extract meaningful insights from athlete performance data.
   • Develop models and algorithms to identify patterns, trends, and correlations within large datasets.
   • Present findings in a clear and concise manner to inform decision-making processes.
4. Assist in Intervention Planning:
   • Work closely with coaches and sports scientists to develop targeted interventions aimed at improving athlete performance.
   • Provide input on intervention strategies based on data-driven insights and scientific evidence.
   • Monitor the effectiveness of interventions and make recommendations for adjustments as needed.

Qualifications:

• Bachelor’s or Master’s degree in sports science, exercise physiology, biomechanics, or a related field.
• Demonstrated experience in performance testing and analysis within a sports or research setting.
• Proficiency in statistical analysis software (e.g., R, Python, SPSS) and data visualization tools.
• Strong research skills, including the ability to critically evaluate scientific literature and contribute to research projects.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Detail-oriented with a passion for using data to drive performance improvements.

Compensation:

• Competitive salary based on experience and qualifications.
• Benefits package including professional development opportunities.