Director, Health and Performance Innovation at Cleveland Browns
Berea, OH 44017, USA -
Full Time


Start Date

Immediate

Expiry Date

01 Jun, 25

Salary

0.0

Posted On

01 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, Machine Learning, Data Visualization, Biomechanics, Python, Gps Tracking, Football, R

Industry

Information Technology/IT

Description

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.

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.
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.
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