Job Description

Job Description

Job Description

DEPARTMENT OVERVIEW:   

The Baseball Sciences department leverages cutting-edge research, data, and technology to enhance player performance, development, and overall team success. By integrating principles from biomechanics, sports science, data analytics, and artificial intelligence, the department plays a critical role in driving innovation on and off the field. The team works closely with coaches, medical staff, strength & conditioning experts, and front-office personnel to develop and implement evidence-based strategies that maximize athletic potential, improve player health, and optimize in-game performance. The Baseball Sciences department is committed to pushing the boundaries of sports science in baseball, putting the Red Sox at the forefront of technological and analytical advancements in the sport. 

POSITION OVERVIEW:  

The Boston Red Sox are seeking an Applied Baseball Scientist to help translate biomechanical insights into actionable coaching interventions across the organization. This role focuses on the application and evaluation of biomechanics and performance science data to inform skill-specific development, assess the effectiveness of training strategies, and refine program design. This role will work closely with coaches, coordinators, and performance staff to ensure that biomechanical insights directly support player development and on-field performance. 

This is an opportunity to use your biomechanics expertise in a highly applied, coach-facing capacity, contributing to the measurement, iteration, and education of coaching practices throughout the organization. 

• Partner with coaches and coordinators to interpret results, provide ad-hoc analyses for high-leverage cases, and generate clear, actionable feedback for players. 
• Analyze and refine program design and training approaches, creating tools and frameworks that support consistent, evidence-based application across development settings. 
• Integrate biomechanics, force plates, wearable sensors, and performance testing data into decision-making processes to inform individualized player plans. 
• Contribute to educational initiatives that promote effective use of Baseball Sciences tools and ensure staff are equipped to apply biomechanical insights in their daily work. 
• Contribute to the broader innovation roadmap of the Baseball Sciences department through research, prototyping, and cross-disciplinary collaboration. 

• Education:
• Bachelor’s or advanced degree in biomechanics, kinesiology, exercise science, engineering, statistics, data science, or a related quantitative field is preferred. 
• Applied Biomechanics: 
• Demonstrated experience analyzing biomechanical and performance science data, such as motion capture, force plates, wearable sensors, or computer vision. 
• Previous experience working directly with coaches and athletes, with the ability to communicate complex concepts in clear, practical terms. 
• Interest in and/or past experience with coaching, demonstrating an applied understanding of how to design training environments to target identified deficiencies. 
• Quantitative Analysis:
• Proficiency with data analysis tools (e.g., R, Python, SQL) and the ability to create intuitive visualizations and reports for non-technical audiences. 
• Strong applied research skills, with an ability to design studies, evaluate outcomes, and iterate on interventions. 
• Experience leveraging AI-assisted analysis tools for identifying and implementing solutions. 
• Soft Skills:
• A passion for leveraging biomechanics and performance science to improve player development and performance outcomes. 
• Spanish language proficiency is a plus. 
• Prior baseball playing experience is a plus. 

In addition to the above requirements, all roles within Baseball Operations are expected to effectively demonstrate our universal competencies related to problem solving, teamwork, clarity of communication, and time management, along with embodying our culture of honesty, humility, relentlessness, and commitment to DEIB.

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