The Research Alliance for New York City Schools, an independent research center housed in the NYU Steinhardt School of Culture, Education, and Human Development, invites applications for a Research Analyst. The Research Analyst will be responsible for processing and analyzing data from school administrative records, surveys, and assessments, and will contribute to projects on a range of topics, such as computer science education, social-emotional learning, and post-secondary access and success. In particular, the Research Analyst will be part of a team working on our study of New York City’s Computer Science for All (CS4All) initiative. CS4All aims to ensure that all students in NYC have access to high-quality opportunities to learn computational thinking, problem solving, and critical and creative thinking. The Research Analyst will also contribute to other projects at the Research Alliance as needed.
About the Research Alliance for New York City Schools
The Research Alliance was formed in 2008 to conduct rigorous studies on topics that matter to NYC’s public schools. We strive to advance equity and excellence in education by providing evidence about policies and practices that promote students’ development and academic success. Our access to longitudinal data from both the NYC Department of Education (DOE) and the City University of New York, coupled with our strong relationships with educators and policymakers, allows Research Alliance staff to undertake work that makes a meaningful difference for NYC students and communities. We are seeking candidates from diverse backgrounds, particularly from groups that are underrepresented in applied research.
- Work with project leads to develop and implement data processing, storage, retrieval, documentation, and quality assurance systems for data in the Research Alliance archive and project-specific datasets.
- Conduct descriptive and inferential statistical analyses for the CS4All evaluation and other ongoing studies.
- Assist with the preparation of reports on research findings that meet the highest standards of education science and that provide information relevant to policymakers and practitioners.
- Assist with field-based data collection efforts, which may include tracking outreach and response rates, collecting surveys, or conducting structured interviews.
Requirements and Skills
- BA/BS degree or higher in education policy, public policy, economics, statistics, applied psychology, sociology, computer science, or related field.
- Demonstrated statistical, programming and database management experience. Successful candidates will be required to learn and become highly proficient in SAS. Experience in SAS preferred.
- Experience managing and manipulating large datasets (e.g., coding, cleaning, merging, preparing large data files for analysis, etc.).
- Experience with data visualization preferred.
- Experience working in Microsoft Excel.
- Strong written and verbal communication skills, as well as organizational and time management skills.
- Ability to take initiative, work independently, and work in a team environment.
- We prefer candidates who have experience working on education or related social science research projects and experience or interest in computer science education.
- We seek applicants who carry diverse perspectives. Strong candidates are able to recognize how potential social/cultural biases may impact research and policy.
- Starting salary: $48,000. Commensurate with experience.
- Full package of NYU benefits, including tuition remission. (Read more on NYU's Professional Research Staff Benefits page).
To apply, please upload the following through NYU’s application portal.
- Cover letter that discusses your qualifications and interest in the position, and
- Code sample as a PDF document. We prefer candidates with experience in SAS, but if you are proficient in another language, please provide a sample in that language.
After initial review, competitive candidates will be invited for an interview, and we will contact references. Review of applications will begin immediately and continue until position is filled.