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Fellow, Biomechanics
About the Minnesota Twins:
At the Minnesota Twins, we are driven by a singular purpose – to up the game, on the field and off. Unwavering in our commitment to deliver championships and be a force for good, our innovative, diverse and incredibly talented team is creating new ways to win, to uplift and to unite. We are proud to be Minnesota’s baseball team. We believe in our power to create positive change. We are setting the standard for a modern sports and entertainment brand that shapes a better tomorrow for all.
Essential Duties and Responsibilities:
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Team Biomechanists to provide actionable insights and recommendations based on sports science data to stakeholders at the Minor League level focusing on pitching, batting, sports performance, and sports medicine.
- Assist in the data collection using various on and off-field biomechanical tools for athlete monitoring and player performance.
- Use expertise and background to guide long-term performance research efforts to optimize player development and health.
- Identify and integrate scientific best practices for Sports Science.
- Work with Sports Science and baseball systems team to maintain, improve and create intuitive visualizations to facilitate communication with non-Biomechanical audiences (coaches, players, scouts, front office personnel).
Required Experience and Education:
- Bachelor's degree in mathematics, statistics, economics, physics, or another quantitative field.
- Academic background in kinesiology, biomechanics, engineering, sport science, physical therapy, or another closely related field.
- Data analyst experience: ability to interpret and analyze statistics.
Essential Knowledge, Skills, and Abilities:
- Demonstrated experience with biomechanical data collection, analysis, and interpretation, including but not limited to: markered and/or markerless motion capture, IMU's, force plates, etc. driving exceptional skills communicating biomechanical concepts.
- Familiarity with statistical programs such as R, Python, Matlab, SPSS, Stata.
- Experience with SQL or relational databases.
Preferred Knowledge, Skills, and Abilities:
- Experience working in high-level sports environment (collegiate, professional).
- Postgraduate degree (Master's, PhD)
Time Commitment: February 2026 - October 2026.
Hours: 40 hours/week.
Compensation: Hourly rate of $18.00/hour.
Applications Closing: October 6th. (Subject to change based on candidate volume; early submission is encouraged)
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