Coordinator of Sports Science for Football

University of Maryland, United States

Updated: 3 months ago
Location: College Park, MARYLAND
Deadline: ;

Posting Details
Posting Details


Position Number: 125609
Title: Assistant Coach
Functional Title: Coordinator of Sports Science for Football
Category Status: 15-Fac.Non-Tenured,Continuing Con
Applicant Search Category: Faculty
University Authorized FTE: 1.00
Unit: PRES-ICA-Support Services
Campus/College Information:
Founded in 1856, University of Maryland, College Park is the state’s flagship institution. Our 1,250-acre College Park campus is just minutes away from Washington, D.C., and the nexus of the nation’s legislative, executive, and judicial centers of power. This unique proximity to business and technology leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled. Synergistic opportunities for our faculty and students abound and are virtually limitless in the nation’s capital and surrounding areas. The University is committed to attracting and retaining outstanding and diverse faculty and staff that will enhance our stature of preeminence in our three missions of teaching, scholarship, and full engagement in our community, the state of Maryland, and in the world.
Background Checks
Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify you from employment.
Position Summary/Purpose of Position:
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 andtheir 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.
Benefits Summary Top Benefits and Perks:

Faculty Benefits Summary

Minimum Qualifications:
Education:
Bachelor’s degree in kinesiology, exercise science, exercise physiology, engineering, computer science, biometrics, or related field.
Experience:
  • At least two (2) years experience working with Division I sports; experience working in Division I Football.
  • Experience with software and technologies for tracking player movement, physiological outcomes, and athletic workloads.


Knowledge, skills, and Abilities:
  • Proficiency in Microsoft Excel required.
  • 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.
  • Demonstrated high standards of confidentiality.

Other:
This position requires the ability to work a non-traditional schedule, including nights and weekends, depending on practice and game times.
Preferences:
Preferences:
  • Master’s degree in a sports science-related field of study.
  • Experience working with Catapult GPS and/or Polar system monitoring.
  • Experience with 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.
Additional Certifications:
Preferred:
Certification in Strength and Conditioning and/or Athletic Training is preferred.
Additional Information:
Posting Date: 01/26/2024
Closing Date:
Open Until Filled Yes
Best Consideration Date 02/01/2024
Physical Demands
Diversity Statement:
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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