Coordinator of Sports Science for Football
1/31/2020 10:25:00 AM | Terrapin Athletics
Position Summary
The Coordinator of Sports Science for Football is responsible for supporting the football team's applied sports science athlete assessments relating to training, fitness, and prevention. These include Catapult, Polar, Sparta Science, Tendo Unites, Perch Velocity Training, and additional systems.
This position would manage student-athlete performance monitoring and tracking technologies, create team reports, and identify performance enhancement solutions with various technologies (i.e., Catapult, Force Plates, Tendo, etc.); serve as the liaison between Maryland Football and Catapult; Create actionable data-driven solutions that maximize value for individual and team outcomes; understand, visualize, and communicate findings to strength & conditioning coaches, sport coaches, athletic trainers, and sports performance staff; provide daily feedback on athlete outcomes to assist in strength and conditioning & other programming; provide technology support for all performance technology in collaboration with Maryland Athletics IT department and their policies; attend sports performance team meetings and football team meetings as requested; collaborate with campus Exercise and Sports Science faculty and coordinate the Sports Data Analytics internship student program and perform other duties as assigned.
Requirements:
Bachelor's degree in kinesiology, exercise science, exercise physiology, engineering, computer science, biometrics, or related field. Two (2) years experience working with Division I sports; experience working in Division I Football; proficiency in Microsoft Excel required. Experience in software and technologies for tracking player movement, physiological outcomes, and athletic workloads. Ability to learn athlete performance monitoring software programs. Strong interpersonal and organizational skills as well as written and oral communication skills. Strong procedural writing skills. Ability to work independently and as part of a team. Ability to work a non-traditional schedule, including nights and weekends, depending on practice and game times. Demonstrated high standards of confidentiality.
Preferences:
Master's degree in a sports science related field of study. Experience working with Catapult GPS and/or Polar system monitoring. Experience in R, Matlab, Python, Azure, or Power BI. Experience with database systems and data preparation. Background in artificial intelligence, medical, health, fitness, and athletic performance data. Experience with techniques such as classical inference, generalized linear models, and multivariate methods. Experience with data visualization tools.
To Apply:
Submit applications electronically at https://ejobs.umd.edu. Search for position number 125609. For best consideration applications should include (1) cover letter, (2) resume, and (3) names and contact information of at least three references.
Best Consideration Date:
Apply by February 5, 2020.
The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.
The Coordinator of Sports Science for Football is responsible for supporting the football team's applied sports science athlete assessments relating to training, fitness, and prevention. These include Catapult, Polar, Sparta Science, Tendo Unites, Perch Velocity Training, and additional systems.
This position would manage student-athlete performance monitoring and tracking technologies, create team reports, and identify performance enhancement solutions with various technologies (i.e., Catapult, Force Plates, Tendo, etc.); serve as the liaison between Maryland Football and Catapult; Create actionable data-driven solutions that maximize value for individual and team outcomes; understand, visualize, and communicate findings to strength & conditioning coaches, sport coaches, athletic trainers, and sports performance staff; provide daily feedback on athlete outcomes to assist in strength and conditioning & other programming; provide technology support for all performance technology in collaboration with Maryland Athletics IT department and their policies; attend sports performance team meetings and football team meetings as requested; collaborate with campus Exercise and Sports Science faculty and coordinate the Sports Data Analytics internship student program and perform other duties as assigned.
Requirements:
Bachelor's degree in kinesiology, exercise science, exercise physiology, engineering, computer science, biometrics, or related field. Two (2) years experience working with Division I sports; experience working in Division I Football; proficiency in Microsoft Excel required. Experience in software and technologies for tracking player movement, physiological outcomes, and athletic workloads. Ability to learn athlete performance monitoring software programs. Strong interpersonal and organizational skills as well as written and oral communication skills. Strong procedural writing skills. Ability to work independently and as part of a team. Ability to work a non-traditional schedule, including nights and weekends, depending on practice and game times. Demonstrated high standards of confidentiality.
Preferences:
Master's degree in a sports science related field of study. Experience working with Catapult GPS and/or Polar system monitoring. Experience in R, Matlab, Python, Azure, or Power BI. Experience with database systems and data preparation. Background in artificial intelligence, medical, health, fitness, and athletic performance data. Experience with techniques such as classical inference, generalized linear models, and multivariate methods. Experience with data visualization tools.
To Apply:
Submit applications electronically at https://ejobs.umd.edu. Search for position number 125609. For best consideration applications should include (1) cover letter, (2) resume, and (3) names and contact information of at least three references.
Best Consideration Date:
Apply by February 5, 2020.
The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.
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