Research Data Analyst; Part-Time

New York University: NYU - NY:
Steinhardt School of Culture, Education and Human Development:
Office of Research:
Institute of Human Development and Social Change Location

New York, NY

Open Date

Oct 28, 2026

Description

Seeking qualified applicant to work part-time (10-20 hours per week) in data analysis and statistical programming in Dr. Pamela Morris-Perez's ARCADIA (A Research Center Advancing Developmentally Informed Approaches) for Suicide Prevention lab. For a description of Dr. Morris-Perez' portfolio of research, please visit her NYU Faculty Bio page here . This position will support the analytic work of "WeCARE", a randomized study of a system-level strategy to screen Black youth for suicide risk and connect those at risk for suicide to mental health services.

This study is currently taking place in two hospital emergency departments in New York City.

Successful candidates must have demonstrated R programming experience, with knowledge and experience of statistics and analytics commonly used in psychological or related social science research. Candidates should be proactive, demonstrate excellent attention to detail, be committed to collaboration and teamwork, and effectively multi-task. Strong analytical skills, ability to document code and analyses clearly, and a solid understanding of quantitative research methods are necessary.

Research interests in suicde prevention and intervention research are a plus.

Position Responsibilities

Responsiblities include active involvement in all stages of analysis: data management of survey data and electronic health records (EHR), creating and merging large, longitudinal datasets across multiple sources, preparing variables for analysis, aiding in the preparation and distribution of training and research materials, quantitative data analysis using a range of analytic approaches, and write-up of results and reports. The Research Data Analyst will work closely with faculty and other research scientists.

In compliance with NYC's Pay Transparency Act, the base hourly rate for this position is $25/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 either fully in-person or hybrid. All work will occur during business hours.

Qualifications

Qualifications

• Required
  
  Education:
  • candidates should have or be working towards a MA/MS in statistics, psychology, public policy, or related social science field with heavy quanitiative emphasis
• Required Experience:
  • former research experience on comparable projects and quantitative data analysis using statistical software is critical
  • candidates should be comfortable working in a fast-paced team-oriented environment and communicating with a wide range of individuals at all levels of the research team and the university.
• Required Knowledge, Skills, and Abilities:
  • Mastery of R/RStudio for data processing, analysis, and reporting
  • Two years prior experience in quanitative research
  • Strong interpersonal and communication skills
  • The ability to handle tasks requiring high levels of attention to detail, to carry complex research tasks to completion, and to efficiently manage work in the time required
  • Experience with REDCap and/or medical records data analysis a plus

NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis.

All interested persons are encouraged to apply for vacant positions at all levels.

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