Qualifications:

• A Bachelor's degree in an applicable quantitative field (e.g., computer science, data science, statistics, engineering, mathematics, economics, or a related field), MS degree preferred.

• Creativity

• Ability to quickly learn in a new work environment

• Eagerness to take initiative and solve intricate problems

• Ability to work under deadlines with general guidance.

• Exceptional research, analytical writing, and communication skills

• Excellent organizational skills and demonstrated ability to complete detailed work accurately.

• Programming experience in R, Python, Stata, SAS, and/or other languages

• Prior research experience and coursework in the empirical social sciences is preferred, but not required

• Self-guided, self-learner, and engaged in the mission of the Lab

• Experience working with machine learning frameworks (TensorFlow, TF, PyTorch, Scikit Learn, etc.), NLP, computer vision, or related fields is a plus

Application Instructions:

To be considered, please submit the following items along with your online application:

• CV

• Transcript(s) (unofficial is fine; please include all full-time programs) showing outstanding academic credentials

• Project/code samples or Github

There will be two rounds of application review. The deadline for the first round is: Monday, December 1st, 2025. The deadline for the second round is: Monday, January 5th, 2026. Applications will be evaluated on a rolling basis and preference will be given to first-round applicants.

**The expected pay range for this position is $34.00 to $40.41per hour. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. Therefore, based on the law school's budget, the expected pay will align closer to $34.00 per hour. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, and external market pay for comparable jobs.

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

*Note: 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.