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Football Research Jobs (NOW HIRING)

San Francisco 49ers

Football AI Fellow

Santa Clara, CA · On-site

$57K - $78K/yr

Responsibilities : • Support the San Francisco Football Operations, including, but not limited to, Player Personnel, Football Technology, Coaching staff, Football R&D, and Football Administration ...

Gallaudet

$58K - $77K/yr

Gallaudet maintains a proud tradition of research and scholarly activity and prepares graduates for ... Assistant Football Coach Worker Type: Extended Temporary (Fixed Term) Pay Type: Salary Exempt ...

Bank Street

Flag Football Coach

New York, NY

$40/hr

Spring 2026 After School Flag Football Coach Bank Street School for Children (BSC) - Children ... research projects, and other key efforts engaging educators, intermediary organizations, and ...

University of Louisiana Monroe

Football Analyst

Monroe, LA · On-site

$35K - $70K/yr

Job Summary Assist the head and assistant football coaches with daily operations including, but not ... Research, analyze, and create statistics of individual student-athletes and opposing teams to ...

Bank Street

Flag Football Coach

New York, NY · On-site

$40 - $50/hr

Spring 2026 After School Flag Football Coach Bank Street School for Children (BSC) - Children ... research projects, and other key efforts engaging educators, intermediary organizations, and ...

LeatherBrainz

Blog Writer (NFL/Fantasy Football)

Produce well-researched and compelling blog posts on NFL-related topics, including game analysis, player profiles, team updates, and more. * Create engaging fantasy football content, including player ...

Gallaudet

Football Assistant Coach (MSSD)

Center, TX

$18.40/hr

Gallaudet maintains a proud tradition of research and scholarly activity and prepares graduates for ... Football Assistant Coach (MSSD) Worker Type: Fixed Term (Fixed Term) Pay Type: Hourly Exempt Status:

KIPP

KIPP Pride High Head Football Coach

Halifax, NC · On-site

... research-based, rigorous curricula, and clearing the paths that our students choose to follow by ... We are in search of a Football Coach who has the ability and experience to lead and develop a ...

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How much do football research jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for football research in the United States is $26.46, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $32.93 per hour, depending on experience, location, and employer.

What is football research?

Football research refers to the systematic study and analysis of various aspects of the game of football (soccer or American football), including player performance, team strategies, statistics, and historical trends. Researchers in this field use data collection, statistical analysis, and sometimes video review to gain insights that can improve team performance, inform coaching decisions, or drive player recruitment. This work is often used by professional teams, sports organizations, and academic institutions to better understand the game and gain a competitive edge.

How much do sports historians make?

Sports historians typically earn between $40,000 and $70,000 annually, depending on experience, education, and employer. Those working in academia or research institutions may have higher earning potential with advanced degrees and specialized knowledge. Salaries can vary based on location and the level of expertise required for the role.

What types of data or tools do Football Research professionals typically use in their daily work?

Football Research professionals regularly work with large datasets that include player statistics, match events, and tracking data. They often use statistical analysis tools like R or Python, as well as data visualization platforms such as Tableau. Collaboration with coaches and analysts is common, ensuring that research findings are translated into actionable insights for team strategy or player development. Staying up-to-date with the latest sports analytics methodologies is also a key part of the role.

How do I become a football analyst?

To become a football analyst, you typically need a strong understanding of football tactics, statistics, and player performance, often gained through a degree in sports management, sports science, or related fields. Gaining experience with data analysis tools like Excel, SQL, or specialized sports analytics software is also important, along with building a portfolio of analysis work and networking within the sports industry.

What are the key skills and qualifications needed to thrive in Football Research, and why are they important?

To excel in Football Research, you need strong analytical skills, a solid understanding of football analytics, and typically a degree in statistics, mathematics, or sports management. Familiarity with data analysis tools like Python, R, SQL, and sports data platforms is commonly required. Attention to detail, critical thinking, and effective communication are vital soft skills for translating complex data into actionable insights. These abilities ensure that research findings are accurate, relevant, and impactful for decision-making in football organizations.

What does a football research analyst do?

A football research analyst collects and analyzes data related to player performance, team strategies, and game statistics to support decision-making. They often use statistical tools and software to identify trends and provide insights for teams, coaches, or media organizations.

What is the highest paying job in sports science?

In sports science, the highest paying roles are often sports medicine physicians, athletic trainers with advanced specialization, or sports scientists working in elite professional teams or research institutions. These positions typically require advanced degrees, certifications, and extensive experience, and can offer salaries exceeding $100,000 annually.

What is the difference between Football Research vs Football Analyst?

AspectFootball ResearchFootball Analyst
Required CredentialsDegree in sports science, statistics, or related fieldDegree in sports management, analytics, or related field
Work EnvironmentResearch labs, universities, sports organizationsBroadcast studios, team offices, data centers
Employer & Industry UsageAcademic institutions, sports research firms, teamsProfessional sports teams, media outlets, analytics firms
Common Search & ComparisonFootball Research vs Football Analyst

Football Research focuses on studying the game through data collection, analysis, and scientific methods to advance understanding of football strategies and player performance. Football Analysts interpret data and provide insights to teams, media, or fans, often focusing on game predictions and player evaluations. While both roles involve data and football, Research emphasizes foundational studies, whereas Analysts focus on practical application and communication of insights.

More about Football Research jobs
What are the most commonly searched types of Football Research jobs? The most popular types of Football Research jobs are:
What states have the most Football Research jobs? States with the most job openings for Football Research jobs include:
What job categories do people searching Football Research jobs look for? The top searched job categories for Football Research jobs are:
Football Research jobs near you
Football AI Fellow

Football AI Fellow

San Francisco 49ers

Santa Clara, CA • On-site

$57K - $78K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
The San Francisco 49ers are offering a fellowship opportunity for a Football AI Fellow to utilize artificial intelligence and generative AI across multiple verticals within the Front Office. The role involves supporting decision-making, automating workflows, and enhancing operational intelligence through the development of AI tools and applications.
Responsibilities:
• Support the San Francisco Football Operations, including, but not limited to, Player Personnel, Football Technology, Coaching staff, Football R&D, and Football Administration with artificial intelligence tools and adoption
• Develop, build, improve, and deploy both new and existing AI-based applications and tools
• Generate well-documented code and participate in code review and version control processes following standardized documentation protocols
• Identify and pursue opportunities for club to incorporate artificial intelligence tools into workflows which will translate into on-field wins
• Use analytical methods to assist stakeholders in decision-making and automating of processes
• Integrate various streams of data including textual reports, tabular data, and video into easy-to-use tools, including scraping, cleaning, and maintain data ingestion
• Transform data from games and practice into actionable conclusions for scouting and coaching strategy
• Collaborate with and assist Scouting Dept with pro and college scouting processes
• Attend regular meetings with Player Personnel, Football Systems, R&D, and Coaching staff
• Stay apprised of research and analysis by partners, potential partners and 3rd party sources to then evaluate promising ideas for potential use by Club
• Work with external vendors supplying on-field performance metrics and statistics
• Create and identify useful metrics to improve analysis and projections
• Advise internal staff regarding new technological advances and other opportunities to further Club’s use of AI to make intelligent decisions
• Submit written reports, visualizations and summary data as needed
• Communicate results to management in a timely, clear, concise and efficient manner
• Other duties as assigned
Qualifications:
Required:
• Deep understanding of state-of-the-art AI tools, workflows, and generative AI to automate workflows and build tools to assist decision-making
• Ability to use logic and reasoning to evaluate information to determine how it should be best interpreted
• Ability to produce clear, concise work products from open ended assignments
• Ability to achieve planned objectives through completing relevant tasks and focus
• Ability to write clean, reproducible, and well-documented code
• Ability to create a relationship of trust and loyalty by delivering accessible, efficient, and reliable services and products for stakeholders
• Strong communication skills and ability to translate complex data into actionable insights
• Sees the value of assignments and seeks new & additional opportunities to contribute while maintaining focus on the task at hand; works efficiently, proactively and completes assignments in a timely fashion
• Has a strong desire to expand knowledge of the game of football, working in an NFL front office, and quantitative methods for analyzing sports data
• Introductory understanding of the game of football
• Expertise using cloud computing environments and associated programming languages (e.g. Python)
• Experience with Git, SQL and Microsoft Office Suite
• Experience with various statistical and machine learning techniques, as well as rationale for chosen methods
Preferred:
• Advanced degree (preferred) in Artificial Intelligence, Computer Science, Mathematics, Engineering, or a related quantitative field
Company:
San Francisco 49ers is an American football team that plays in the West Division of the National Football Conference in the NFL. Founded in 1946, the company is headquartered in Santa Clara, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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