EOP Research Scholar

Thank you for your interest in Stanford University. While we have instituted a hiring pause for non-critical staff positions, we are actively recruiting for most of the positions currently listed on our careers page. We will update the page when the broader hiring pause is lifted.

The Stanford Graduate School of Education (GSE) is dedicated to solving education's greatest challenges. Through rigorous research, model training programs and partnerships with educators worldwide, we're pursuing equitable, accessible and effective learning for all.

The Educational Opportunity Project (EOP), housed within the GSE, is dedicated to measuring educational opportunity in every community in America and has built the most comprehensive national database of academic performance in the U.S., based on over 500 million test scores. We hope that researchers will use the data to generate evidence about what policies and contexts are most effective at increasing educational opportunity, and that such evidence will inform educational policy and practices.

Please visit edopportunity.org for more information about our work and team.

• DATE POSTED 4 days ago
• Schedule Full-time
• Job Code 6784
• Employee Status Fixed-Term
• Requisition

The Educational Opportunity Project (EOP), housed in the Graduate School of Education, is seeking a Research Scholar to support new work developing and analyzing a novel database of kindergarten readiness assessment data.

The Research Scholar will work closely with the Executive and Faculty Directors of the EOP to develop code to clean, organize, and harmonize data from large longitudinal education datasets; to implement statistical estimation methods; and to analyze data for research publications. This position requires independent work as well as collaboration with the EOP team. Significant experience using Stata, a strong statistical background, and careful attention to detail is critical for this role.

The initial appointment will be 1-year fixed term, with renewal contingent on performance and project needs. Candidates must be eligible to work in the US. Visa sponsorship is not available for this position.

Note:

The expected pay range for this position is $93,000 to $148,000 per annum.

The pay range is Stanford’s good faith estimate of compensation for the position. The final pay will be determined based on experience, qualifications, and other factors.

• Extract and clean data from a variety of sources, including state departments of education and the federal government, and maintain its accuracy and completeness.
• Build replicable and efficient software code for data cleaning and estimation.
• Create documentation for all code and analyses.
• Perform complex statistical analyses and develop graphs and tables for publication and presentation.
• Conceptualize and draft research papers
• Collaborate with other EOP researchers and collaborators.

• PhD in Education, Sociology, Statistics, or a related field.
• Experience and interest in conducting research on educational opportunity and equity.
• High-level statistical and quantitative data analysis skills spanning educational measurement, statistical analysis, and research design.
• Content expertise in education policy, sociology of education, economics of education, and/or related fields.
• Experience working independently with large datasets.
• Demonstrated collaboration, communication, and writing skills.

• Constantly perform desk-based computer tasks.
• Occasionally stand/walk, reach/work above shoulders, grasp lightly/fine manipulation, grasp forcefully, use a telephone, sort/file paperwork or parts, lift/carry/push/pull objects that weigh up to 10 pounds.
• Rarely twist/bend/stoop/squat, kneel/crawl.

• Interpersonal
  
  Skills:
  
  Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety:
  Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
• Subject to and expected to comply with all…