Sports AI and Analytics Project Associate (Part-Time, 2-year TERM, Hybrid)

Zymtronix Catalytic Systems Inc; City of Ithaca (NY); Hybrid; USD 28,000 - 39,000; Part time

Job summary

Cornell University is seeking a part-time, 2-year term, hybrid Sports AI and Analytics Project Associate to coordinate projects, partnerships, and programming across Cornell Athletics, faculty, students, alumni, and external partners. The role focuses on expanding hands-on research opportunities and advancing data science and AI in sports.

As the Project Associate, you will support program planning, event logistics, communications, grant submissions, and stakeholder engagement to build a

Responsibilities

• Coordinate project activities by facilitating communication among faculty, students, Cornell Athletics, and external partners; connecting students with research opportunities and datasets; tracking project activities; supporting the implementation of applied research projects in sports analytics, data science, machine learning, and artificial intelligence.

Job description

Sports AI and Analytics Project Associate (Part-Time, 2-year TERM, Hybrid)

Sports AI and Analytics Project Associate (Part-Time, 2-year TERM, Hybrid)

Help connect sports, research, and student learning as Cornell’s Sports AI and Analytics Project Associate. In this role, you will coordinate projects, partnerships, and programming that bring together faculty, students, Cornell Athletics, alumni, and external partners to expand hands‑on research opportunities and advance the use of data science and artificial intelligence to address real‑world challenges in sports.

As the Sports AI and Analytics Project Associate, you will:

• Support the development, administration, and coordination of Cornell’s Sports AI and Analytics initiative. Assist with program planning, implementation, assessment, and continuous improvement in collaboration with faculty, students, Cornell Athletics, alumni, and external partners.
• Coordinate project activities by facilitating communication among faculty, students, Cornell Athletics, and external partners; connecting students with research opportunities and datasets; tracking project activities; and supporting the implementation of applied research projects in sports analytics, data science, machine learning, and artificial intelligence.
• Plan and coordinate conferences, workshops, meetings, and other program activities, including registration, scheduling, facilities, catering, technology, travel, and related logistics. Monitor programs and events, resolve issues, ensure compliance with university policies, and manage event budgets.
• Coordinate program communications, reports, presentations, promotional materials, websites, and other digital resources. Support the dissemination of research through conferences, publications, and other academic and industry forums.
• Coordinate administrative and logistical support for grant submissions, sponsorship activities, alumni engagement initiatives, and other external funding efforts. Develop and maintain relationships with internal and external stakeholders to support research, programming, and program growth.
• Manage program budgets, accounts, expenses, and financial reporting.
• Develop, create, and maintain databases and tracking systems to meet program needs. Track, gather, and report program statistics, including participation, research activity, partnerships, events, and program outcomes.
• Evaluate program effectiveness and identify opportunities for future development. Collect, compile, and analyze program metrics and stakeholder feedback to support assessment, reporting, and future planning.
• Recruit, train, and supervise temporary and student employees as needed.
• Support the initiative’s broader goals of expanding student research opportunities, strengthening partnerships with Cornell Athletics, and advancing Cornell’s leadership in Sports AI and Analytics.
• Oversee website maintenance, ensuring that information about contacts, policies and regulations, resources, events, and other program matters remains accurate and current.

About Cornell Ann S. Bowers College of Computing and Information Science

Cornell Ann S. Bowers College of Computing and Information Science is a college founded in recognition that computing is an essential tool in almost every scientific and scholarly discipline. It is a community of people committed to tackling some of the world's biggest challenges by working together across multiple colleges and two Cornell campuses. Bowers CIS is home to the three academic departments that power the information economy: Computer Science, Information Science and Statistics and Data Science. It is known for bold new ideas expressed in high-impact research and scholarship, inspiring educational contributions, and entrepreneurial and commercial engagement. The synergies among faculty, researchers and students make Bowers CIS more than the sum of its parts.

About the Statistics and Data Science Department

Statistics and Data Science (SDS) is a joint department with three participating colleges including ILR, CALS and Bowers CIS as the lead dean. The department combines the traditional tools of statistics, a solid foundation in probability theory, and the skills of computer science into a single, radically collaborative department. The department offers undergraduate degrees in Biometry through CALS and Statistics and Statistical Science through the College of Arts and Sciences, and also has a Master of Applied Statistics and a PhD graduate degree program. It is also closely associated with and oversees the Cornell Statistical Consulting Unit.

Cornell University is home to exceptional research across many disciplines related to sports, data science, analytics, and artificial intelligence. However, much of this work is currently distributed across different colleges and departments. Our vision is to create a centralized platform that showcases and connects sports‑related research activities across the entire university, highlighting Cornell’s leadership in Sports AI and Analytics.

We aim to build strong partnerships with Cornell coaches and athletic teams to identify real‑world challenges and develop research projects that contribute directly to athletic success. Through these collaborations, students gain access to authentic datasets and meaningful problems to solve, while coaches benefit from innovative, data‑driven insights and solutions tailored to their needs.

A key objective of this initiative is to create a sustainable pipeline of research opportunities for students. Sports naturally inspire engagement and enthusiasm, making them an ideal gateway for students to deepen their expertise in data science, applied statistics, machine learning, and sports analytics while working on impactful projects.

Success Factors

You’ll thrive in this role if you demonstrate:

• Proactive project coordination: You establish clear timelines and responsibilities, track progress, address obstacles, and keep collaborators informed to move projects from opportunity to completion.
• Relationship building and collaboration: You build trust across academic and athletic settings, understand stakeholders’ needs, and connect students with meaningful research opportunities, faculty guidance, and datasets.
• Strong organization and attention to detail: You coordinate well‑run events, maintain accurate communications and records, and manage budgets and grant logistics reliably.
• A commitment to continuous improvement