Qualifications:

• A Bachelor's or Master's degree in a relevant quantitative field (e.g., computer science, data science, statistics, engineering, mathematics, economics, or a related field)
• Outstanding academic credentials and intellectual creativity
• Eagerness to take initiative and solve intricate problems
• Excellent time-management skills and ability to work effectively with minimal supervision
• Exceptional research, analytical writing, and communication skills
• 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)
• Project/code samples or Github

There will be two rounds of application review. The deadline for the first round is: 7AM PDT Oct 28, 2024. The deadline for the second round: 7AM PST Jan 6, 2025. Applications will be evaluated on a rolling basis and preference will be given to first-round applicants.

**The expected pay for this position is $67,000 per annum. 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, and external market pay for comparable jobs.

Salary and Benefits: Salary is competitive. Stanford provides excellent retirement plans, time-off, and family care resources, which you can read more about here: https://cardinalatwork.stanford.edu/benefits-rewards

*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.