Plan and perform research tasks requiring initiative and judgment by applying basic knowledge and understanding of empirical methodologies and models. General instructions provided by the faculty supervisor as needed. May interpret research results in collaboration with supervisor or PI.
Conceptualizing suitable empirical methodologies and models
Collecting, managing, and structuring quantitative datasets
Conducting statistical analyses of complex datasets and interpreting results
Report writing and manuscript preparation
Participate and assist with planning empirical projects.
Implement regression and other statistical models using Stata, R, SAS or similar statistical programming languages.
Participate in the development and administration of surveys using validated variables and questions.
Conduct targeted search on recent scholarship about particular research as assigned.
Potential communication with high-level officials, industry stakeholders, and research collaborators
Assist with development, communication and design of research findings to internal and external audiences in the form of report writing and manuscript preparation
May formulate nationwide randomized controlled trials, and create novel datasets on research related to policy issues
Identify, select, extract and summarize data and structured information. Present summary of findings to faculty supervisor
Ensure compliance with research protocols
Minimum Requirements:
Bachelor's degree in a relevant quantitative field (E.g., economics, finance, business, data science, statistics, or a related field). General understanding of theories and methods typically gained through completion of undergraduate degree in a related field.
Effective oral and written communication skills
Outstanding academic credentials and intellectual creativity
Eagerness to take initiative and solve intricate problems
Experience with statistical analyses
Ability to work under deadlines with general guidance.
Excellent organizational skills and demonstrated ability to complete detailed work accurately.
Excellent time-management skills and ability to work effectively with minimal supervision
Exceptional research and analytical writing skills
Programming experience and substantial programming experience in Stata, R, SAS or similar statistical programming languages
Prior experience with machine learning and natural language processing is a plus.
Application Instructions: To be considered, please submit the following items along with your online application:
Statement of interest (including a summary of relevant prior experience)
CV
Transcript
Sample programming code
Contact information for at least two references, preferably one able to speak to academic research skills
The deadline for the first round is 12pm PST on Monday, February 2, 2026. The deadline for the second round is 12pm PST on Monday, March 2, 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 $31.40 to $38.89 per hour.
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.
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.
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 that requires accommodation to perform the essential functions of their job.
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.
