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Qualifications
Experience and knowledge of the following is required:
- A Bachelor’s degree in a relevant field
- Experience with statistics
- Programming experience
- Ability to work under deadlines with general guidance
Experience and knowledge of the following is highly desirable:
- A Bachelor’s degree in computer science with a background in NLP, a Bachelor’s degree in (computational) linguistics or in symbolic systems
- A strong, demonstrated interest to conduct academic research in a relevant field
- Interest in legal research
- Interest in causal inference and social science
- Experience with machine learning / deep learning
- Substantial experience with Python
- Substantial experience with R
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 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.
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 Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University.