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Assistant Director of Sports Science​/Football

Job in Blacksburg, Montgomery County, Virginia, 24062, USA
Listing for: The Chronicle Of Higher Education, Inc.
Full Time position
Listed on 2026-05-18
Job specializations:
  • Education / Teaching
    Sports Industry, Exercise Science / Kinesiology
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Assistant Director of Sports Science / Football

Job Description

The Virginia Tech Department of Athletics embraces the core values of Integrity, Service, Honor, Excellence, and Strong Together. Guided by our motto, Ut Prosim (That I May Serve), we are committed to fostering a culture that accepts, affirms, and values all individuals and their unique contributions to the department, university, and broader community.

The Assistant Director of Sports Science / Football supports the design, implementation, and daily operation of the football sports science program. This role contributes to the monitoring of athlete workload, readiness, and recovery while assisting in translating data into actionable insights for coaches, medical staff, and performance personnel. The position will collaborate across strength & conditioning, sports medicine, nutrition, and coaching staff to enhance player availability, readiness, and performance.

The role reports to the Associate AD, Performance Enhancement / Football.

Required Qualifications
  • Bachelor’s degree in Exercise Science, Sport Science, Kinesiology, Biomechanics, or related field, and/or a master's degree
  • Experience with athlete monitoring technologies (GPS, force plates, etc.)
  • Strong proficiency in Excel (data organization, formulas, basic analysis)
  • Applied understanding of training load concepts (volume, intensity, ACWR, etc.)
  • Ability to work flexible hours, including early mornings, evenings, and weekends
Preferred Qualifications
  • Experience working in collegiate or professional football
  • Experience and proficiency with the following:
    • Player tracking systems:
      Catapult / Zebra systems
    • VALD technologies:
      Force Decks, Nord Bord, Force Frame
    • Data visualization tools:
      Tableau, Power BI
    • Data analysis & coding tools: R, Python
    • Machine Learning:
      Predictive modeling, feature engineering, model evaluation
    • Computer Vision:
      Player tracking, pose estimation, video annotation
    • Systems:
      Git, APIs
Pay Band

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Overtime Status

Exempt:
Not eligible for overtime

Appointment Type

Restricted

Salary Information

Commensurate with experience

Hours per week

40+ Nights and weekends as needed

Additional Information

The successful candidate will be required to have a criminal conviction check

EEO Statement

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

If you are an individual with a disability and desire an accommodation, please contact Stuart Cochran at stuart during regular business hours at least 10 business days prior to the event

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