About Us:

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 GSE is a top-ranked school of education, known for its prestigious faculty, rigorous graduate degree programs, and its impact on the quality of education across the world. The GSE is committed to developing leaders in education research, practice and policy. Our community includes over 60 faculty, 400 students, 230 staff, 14,000 alumni and countless individuals from the local and global communities that we work with and impact.

The SCALE initiative of the Stanford Accelerator for Learning, housed at Stanford Graduate School of Education is seeking a Senior Research Data Analyst to work on our team. The SCALE initiative works to equalize and improve educational opportunities for students by supporting implementation of the most promising educational practices. This position will provide data analysis support for several fast-paced research projects within the SCALE Initiative, including A.I. Benchmarks for Math Tutoring.

This position is a 1-year fixed term appointment based on Stanford University’s main campus.  Consideration will be given to a hybrid work schedule (partially onsite and offsite work), subject to operational need. Interested candidates should include a resume and cover letter describing why they are interested in this position at this stage in their career.  

What You’ll Do:

The Senior Research Data Analyst, working with the Director of Research, faculty lead and senior research associate(s), will manage and analyze large-scale, social science data using machine learning approaches, including natural language processing. The Senior Research Data Analyst must have a demonstrated ability to support a community of diverse perspectives and cultures in an inclusive environment.

Core duties will include: 

Lead, develop, maintain, test, analyze, and evaluate data management systems for multiple, large-scale social science research projects. Perform data analysis and modeling using machine learning techniques including natural language processing. Assemble large, complex sets of data that meet research functions and cross-functional team requirements. Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Google Cloud, Python and SQL technologies for relational database management systems. Serve as a resource for non-routine inquiries such as requests for statistics or surveys. Participate in project planning and strategic thinking for overall growth and direction of research teams’ projects and activities.

What You’ll Bring:

Education & Experience:

Bachelor's degree and five years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.

Knowledge, Skills, and Abilities

Ability to direct the work of others, for jobs requiring supervision. Relevant subject matter knowledge. Substantial experience with MS Office and analytical programs. Excellent writing and analytical skills. Ability to prioritize workload.

Desired Qualifications:

Excellent analytic skills associated with working on unstructured datasets. Ability to build, implement, and troubleshoot processes to optimize data transformation, management, data structures, and metadata. Substantial experience with programs such as Python, STATA and/or R. Graduate or undergraduate degree in information systems, informatics, statistics, computer science, data engineering/science or another quantitative field. Experience in social science, namely education/education policy, producing and managing large-scale, multifaceted academic research. Experience working in social science research, including leveraging data for policy and for producing academic research.

Work Standards:

Interpersonal Skills: Demonstrates the ability to work well with 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 applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu.

PHYSICAL REQUIREMENTS*:

Frequently sit, grasp lightly, use fine manipulation and perform desk-based computer tasks, lift, carry, push and pull objects weighing up to ten pounds. Occasionally stand, walk, grasp forcefully, use a telephone, write by hand and sort and file paperwork or parts. Rarely lift, carry, push and pull objects weighing 11-20 pounds. 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 role.

The expected pay range for this position is $132,369 - $150,000 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, 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.

Why Stanford is for You:

Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:

Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more

We pride ourselves in being a culture that encourages and empowers you. 

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 accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at stanfordelr@stanford.edu. For all other inquiries, please submit a contact form.

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.

HOW TO APPLY

We invite you to apply for this position through Stanford’s Career Search. Locate the job requisition ID 105468 and click on the “Apply for Job” button. To be considered, you must submit a cover letter and résumé along with your online application.

Finalists must successfully complete a background check prior to working at Stanford University. Applicants to this position must be available to work in the United States without sponsorship for 2 years or more. OPT permit holders should confirm that they are eligible to work in the US at the Stanford GSE for two years or more.

Additional Information Schedule: Full-time Job Code: 4753 Employee Status: Fixed-Term Grade: K Requisition ID: 105468 Work Arrangement : Hybrid Eligible