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New York University, New York, NY, USA

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"Research Associate (Part-Time)"

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Research Associate (Part-Time)

The Center for the Success of English Learners (CSEL) is seeking a part-time researcher (20 hours/week) for Summer, 2025. CSEL is a national research and development center funded by the Institute of Education Sciences, U.S. Department of Education that involves researchers from NYU, University of Houson, University of Texas, Harvard Graduate School of Education, Strategic Education Research Partnership, and Center for Applied Linguistics. Among a wide portfolio of projects at CSEL, Prof. Michael Kieffer is leading a study on English learners' opportunities to access the general curriculum and advanced course-taking in middle and high school. The study combines secondary analyses of administrative data from New York City Schools, analyses of original survey data to be collected at multiple sites in the U.S., and interview data with EL instructional leaders in New York. The researcher will collaborate with the research team to conduct and analyze interview data, support survey work, and support other activities as necessary.

Position Responsibilities:

  • Support interviewing
  • Conduct qualitative analyses of interview and survey data
  • Contributino to preparation of manuscripts with results
  • Support other aspects of the center's work (e.g., dissemination of findings)

In compliance with NYC's Pay Transparency Act, the hourly base rate for this position is $27-$30/hour. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.

Per NYU's remote-work policy, this position is expected to be hybrid, with approximately one day a week meeting in person with the team on NYU's campus, and the rest of work remote.

This position does not have any supervisory responsibilities.

Qualifications:

  • B.A. required
  • Experience in education and/or applied psychology research, including original data collection
  • Experience working with interview data
  • Strong organizational ability with keen attention to detail
  • Excellent communication and interpersonal skills

To apply, please send a cover letter and CV/resume via Interfolio.

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