Division/Department: NYUAD Research Institute / Global TIES for Children
Reports to: J. Lawrence Aber & Hirokazu Yoshikawa
Work Location: New York University, Washington Square
Work Schedule: Full-time
Salary (Pay Range): Commensurate with experience
Benefits Eligible: Yes
Start & End Date: March 1, 2021 – August 31, 2021
Global TIES for Children seeks to recruit a Research Scientist to join and support various projects. The Research Scientist will join over a half dozen other post-doctoral researchers and a growing group of core faculty who design, conduct and disseminate the results of research designed to help improve intervention effectiveness and scale for children in low-income and conflict-affected countries. We are seeking candidates with strong quantitative skills in psychometric analysis, structural equation modeling, multi-level modeling, causal inference, and/or missing data imputation, to support large-scale, multi-country program evaluation and measurement initiatives.
The Research Scientist will be generally mentored and supervised by Center Co-Directors, Professors Aber and Yoshikawa and will collaborate intensively with Ph.D.-level researchers of specific projects. The successful candidate will also have the opportunity to work with the center's affiliate faculty and with key strategic partners. We seek a candidate who can benefit from and contribute to a highly collaborative work environment. In turn, we seek to provide the successful candidates with the opportunity to prepare and publish articles in peer-reviewed scientific journals both as a first author and as a co-author. In addition, Global TIES for Children - New York University offers professional development opportunities to affiliate with and learn from several other major research enterprises, most notably: the Institute for Human Development and Social Change (IHDSC); and the Division of Social Sciences at NYU Abu Dhabi.
The primary responsibilities include:
Providing analytic and research support (60%): Supporting a team of pre- and post-doctoral research scientists in conducting data analyses, statistical guidance, support, and training as needed in the areas of:
Planning, conducting, and documenting analyses using state-of-the-art methods (e.g., non-parametric random forest methods) to address missing data in large-scale datasets of education and child developmental interventions in humanitarian contexts
Planning, conducting, documenting and presenting analyses using state-of the art methods (e.g., Bayesian methods) to: (a) evaluate the causal impact of programs on children's learning and development; and (b) model multi-level change processes (e.g., mediation) over time in the context of a range of experimental and correlational designs using multi-level modeling (MLM).
Investigating, developing, and evaluating new approaches to conducting psychometric and/or impact analyses that are suitable for applications in international, cross-cultural contexts.
Contributing to the educational measurement and impact evaluation communities in the United States and globally via independent or organizational research.
Co-author and lead professional presentations and academic publications, and other dissemination materials such as policy briefs.
Co-authoring and leading publications in peer-reviewed journals and policy briefs.
Contributing to data management activities (20%): In collaboration with the project-leads, working with TIES data team to establish and monitor quality control procedures related to quantitative analyses, including data cleaning, verification, and management to ensure the reliability and integrity of results.
Conducting their own research (20%): The successful candidate will also have opportunity to develop, lead, and conduct their own research with the TIES data or her/his own data
About Global TIES for Children
At New York University's Global TIES for Children we design, evaluate and advise on programs and policies to improve the lives of children and youth in the most vulnerable regions across the globe. Led by University Professors Larry Aber and Hiro Yoshikawa, we work with some of the world's leading non-governmental organizations and with governments in low-income and conflict-affected countries on developing and evaluating innovative approaches to promoting the health, education, and social development of children and their communities. Together with our key strategic partner organizations, our work leverages cutting-edge scientific methods and interdisciplinary collaboration to:
Generate actionable evidence to promote child and youth development by conducting and evaluating powerful strategies to transform relevant "social settings" (i.e., classrooms, schools, families, communities, etc.) that are key drivers of children's learning and well-being;
Communicate actionable evidence by engaging diverse stakeholders across sectors and regions and disseminating a rigorous evidence base to inform program and policy decisions for children and youth in low-income and conflict-affected countries; and
Build human, administrative, and institutional capacity for a robust global science and practice through the provision of professional development and training activities.
Current projects include impact evaluations and implementation science in the context of primary education interventions for refugee and displaced populations in Lebanon, Niger and Sierra Leone (3EA: partnership with the International Rescue Committee); assessing quality of classrooms and linking quality to learning (partnerships in Ghana, Uganda, Colombia, and Peru); evaluating early childhood development programs across mass media, home and center models in the Syrian Refugee Response Region and the Rohingya refugee region in Bangladesh (Ahlan Simsim; partnerships with Sesame Workshop, the International Rescue Committee and BRAC); and across these projects, the measurement of child and youth socio-emotional, executive function, language and numeracy skills.
Master's Degree in Statistics (including applied statistics and biostatistics), Psychological Measurement, Educational Measurement, Psychometrics, Education Policy, Public Policy or Policy Analysis, International Education, Human Development, or a related social and/or behavioral science field with an emphasis on causal inference, missing data, program evaluation and quantitative analysis
Strong proficiency and experience in relevant statistical software packages, especially with Mplus, Stata, R, and/or other specialized software
Competence with topics in program evaluation, especially in the design and analysis of cluster randomized control trials, multilevel modeling, and/or international development research is a plus.
Eagerness to innovate and problem-solve for the real-world data challenges that arise in the contexts in which we work
Excellent oral and written communication skills as well as outstanding interpersonal skills, including an ability to explain highly technical statistical concepts to a Ph.D-level social science audience
Ability to work closely and successfully with individuals from a variety of professional, educational and cultural backgrounds.
Ability to work independently on most aspects of statistical analyses, while incorporating instruction and guidance from senior researchers.
The position could begin as soon as March 1, 2021. The position will be based at New York University's Washington Square Campus in New York, NY. Salary is competitive and commensurate with amount and quality of experience.
Required documents to be submitted via NYU's Interfolio Portal:
Statement of Interest
2 professional references (full name, contact number and email address)
1 Writing sample (ideally, a paper in a peer-reviewed publication)
Applications will be reviewed on a rolling basis.
For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
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. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
Internal Number: 84013
About New York University
Founded in 1831, New York University is now one of the largest private universities in the United States. Of the more than 3,000 colleges and universities in America, New York University is one of only 60 member institutions of the distinguished Association of American Universities.