Scientific Project Manager for Digital Athlete Research and Alliance Partnerships

96249 Requisition #

Scientific Project Manager for Digital Athlete Research and Alliance Partnerships


The Wu Tsai Human Performance Alliance at Stanford is a university-wide research initiative that leverages Stanford’s exceptional research, outstanding athletics, and innovative spirit. We are creating a community that draws on diverse efforts across campus to uncover the fundamental principles of peak performance. Through our programs, we are developing the knowledge, the people, and the tools to make optimal health more accessible to all. We hope you will join us in our mission.


As part of the Alliance, we are pursuing research to develop “digital twins” of athletes and all people by combining machine learning with physics based modeling. We are also actively partnering with stakeholders from academia, industry, sports, and non-profits to build a community focused on human performance research. The research scientist will work with a talented team of faculty, staff, postdoctoral fellows, and graduate students to advance our “Digital Athlete Moonshot”, and also help cultivate an active and engaged partnerships program. Creating and sharing software and datasets to advance human performance research is also vital to our mission, and managing these efforts will be another key part of this role. This full-time position offers flexible work arrangements, which may include hybrid and/or remote working.


More information about the Alliance programs at Stanford is available at More information about the multi-institution Alliance network is available at


Duties include:

  • Conduct Digital Athlete Moonshot research in collaboration with both internal and external research teams. Areas of research include: 
    • Analyzing large-scale, real-world datasets to uncover new approaches to predict performance and injury risk and customize training; 
    • Combining machine learning and physics-based modeling to simulate and analyze movement; and/or 
    • Developing novel approaches to study performance with smartphone video and wearable sensors.   


  • Serve as Project Manager for the Alliance partnerships program, collaborating with Alliance leadership to create a vibrant community of partners. Responsibilities include: 
    • Identifying potential partners to meet key Alliance needs and goals, in collaboration with Alliance leadership;
    • Developing and maintaining a list of engaged Alliance partners in industry, academia, and non-profit settings; 
    • Developing written and visual materials to communicate goals and needs of the Alliance to partners and potential partners; and 
    • Developing and tracking metrics for success of partnership program.


  • Serve as Project Manager for Digital Athlete data sharing. Roles include:
    • Collaborating with Digital athlete leadership to form new data sharing partnerships;
    • Creating and managing a directory of Digital Athlete datasets; 
    • Creating and managing template data sharing agreements, MOUs, licenses, and terms of service; and 
    • Conducting research about best practices, developing strategy, and implementing technologies to support Digital Athlete data sharing.


  • Provide support and build community for Digital Athlete software, in collaboration with the Digital athlete team of faculty, staff, and trainees. Roles include: 
    • Developing training materials for Digital Athlete software;
    • Supporting users through office hours, forums, and workshops; 
    • Helping to identify and engage potential “power users” in the Digital Athlete community; and 
    • Identifying user needs and translating these needs to users stories that will help to drive software development.





  • Ph.D. in Bioengineering, Biomedical Engineering, Computer Science, Statistics, Exercise Physiology, Epidemiology, Computational Biology, or related field, including research experience in computation applied to a biomedical application area.
  • Excellent oral and written communication skills, and analytical skills.
  • Strong organizational skills.
  • Ability to lead and manage projects with a high degree of independence.



  • Research experience in data science and machine learning; wearable sensing; and/or biomechanical modeling.
  • Familiarity with policies, ethics, and best practices related to data sharing.
  • Familiarity with software development best practices (e.g., Agile development).


  • Frequently stand/walk, sit, grasp lightly/fine manipulation, and use a telephone, writing by hand.
  • Occasionally reach/work above shoulders, grasp forcefully, and sort/file paperwork or parts, lift/carry/push/pull objects that weigh up to 10 pounds.

* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.



  • Occasional work on evenings and weekends.
  • A remote worker arrangement may be considered for candidates with the appropriate background and experience. Remote workers’ schedules are based in the Pacific Time zone.


  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide,


To apply, please submit your CV and a Cover Letter.


Stanford University is an equal opportunity employer and is committed to increasing the diversity of its faculty and academic staff. It welcomes nominations of and applications from women and members of minority groups, as well as others who would bring additional dimensions to the University’s research, teaching and clinical mission.


As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit



The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory for all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

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