What are the responsibilities and job description for the Director, Health and Performance Innovation position at Cleveland Browns?
Position Summary
The Director of Health & Performance Innovation has expertise in both applied sport scientist and data science, and plays a critical role in the intelligent use of data across the Health & Performance Department. This position is responsible for collecting, analyzing, reporting and modeling medical and performance data to provide actionable insights for coaches, medical staff, and performance specialists. This individual is a leader in research and innovation for the Health & Performance Department, including mentorship and supervision of PhD students, post-doctoral fellows, and emerging health and sport science companies.
Key Responsibilities
- Data Collection & Management:
- Oversee the integration of data from key sources, including Zebra player tracking, force plates, dynamometry, computer vision, and other performance metrics.
- Provide real-time feedback to athletes and staff as data is collected.
- Ensure the accuracy, reliability, and consistency of data collection methods.
- Data Analysis & Visualization:
- Use statistical programming languages (R, Python) to clean, analyze, and interpret large datasets.
- Develop statistical, machine learning and AI models that predict changes in injury risk factors, workload trends, and performance indicators.
- Create interactive dashboards and reports that translate complex data into actionable insights (descriptive, predictive, prescriptive) for coaches and medical staff.
- Applied Sport Science & Performance Optimization:
- Provide data-driven recommendations on training loads, recovery protocols, and injury mitigation strategies.
- Conduct research and stay up-to-date on emerging trends in sports science, biomechanics, and performance analytics.
- Collaborate with athletic trainers, strength coaches, and medical professionals to integrate sport science principles into daily training routines.
- Technology & Innovation:
- Participate in mentorship and supervision of PhD students and post-doctoral fellows
- Evaluate and implement new technologies that enhance data collection and athlete monitoring.
- Ensure seamless integration of sport science data with performance management systems.
Qualifications & Skills
- PhD in Sport Science, Data Science, Biomechanics, or a related field.
- Proficiency in R or Python for statistical analysis, machine learning, and data visualization.
- Familiarity with AI and machine-learning tools.
- Experience working with GPS tracking, force plates, dynamometry, and athlete monitoring systems with elite athletes.
- Strong understanding of physiological and biomechanical principles related to high-performance sport.
- Ability to translate complex data into practical recommendations for non-technical stakeholders.
- Excellent problem-solving skills and ability to work in a fast-paced, high-performance environment.
- Previous experience in professional or elite sports preferred, particularly in football.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.
