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QUALIFICATIONS / MINIMUM REQUIREMENTS:
- Ph.D. in Computer Science.
- Excellent problem solving, written and oral communication skills.
- Strong organizational skills.
- Ability to lead and manage projects with a high degree of independence.
- Research experience related to data science, and/or machine learning.
- Prior experience in technical writing.
- Capacity to communicate information in a manner easily understood.
- Familiarity with government funding agencies and academic research funding sources.
*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. Stanford welcomes applications from all who would bring additional dimensions to the University's research 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 https://cardinalatwork.stanford.edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy
*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 of 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.
*Consistent with its obligations under law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.