Research Associate, ECDEC

Global TIES for Children - New York University
  • Location
    New York, New York
  • Sector
    Non Profit
  • Experience
    Early Career
  • Apply by
    May-31-2020
  • Posted
    Mar 11

Position description

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 (NGOs) and with governments in low-income (LI) and conflict-affected (CA) 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 LI and CA countries;
  • Build human, administrative, and institutional capacity for a robust global science and practice through the provision of professional development and training activities.

Responsibilities

The Research Associate is responsible for active involvement in all stages of research management and data analysis, including:

  • Liaising and coordinating with in-country research partners and counterparts *
  • Supporting the planning of logistical and operational needs of the research
  • Developing and testing research Instrument designs
  • Supporting data quality check, cleaning, and management
  • Contributing to analysis planning and modeling decisions  
  • Conducting data analysis
  • Writing methodological approaches and analysis findings into reports and academic journal articles
  • Providing updates for internal project reporting on plans and activities
  • Training and supervising volunteers and temporary research assistants 

The Research Associate will report directly to Dr. Alice Wuermli or one of the project team’s Research Scientists and work closely with NYU faculty members (including Drs. Hiro Yoshikawa and Larry Aber) as well as researchers and practitioners at TIES, IRC, and Sesame Workshop. 

* In the Middle East our data collection partners are the IRC. In Bangladesh our data collection partner is Innovations for Poverty Action (IPA). NYU Global TIES works with the data collection teams hired by the IRC and IPA in training and supervision of data collection waves. 

Qualifications

The candidates should have:

  • A MA/MS in education, international education, developmental science/psychology, human development, economics, sociology, or a related social science field.
  • Expertise in Global Early Childhood Development and substantial experience in using and training on direct assessments of early child development (ECD) and/or observational assessments of service / program quality, ideally in a global setting.
  • 2+ years of experience implementing and managing large scale research projects in LMICs.
  • Experience working with displaced/refugee population in low-income/conflict-affected contexts.
  • Strong quantitative analytic skills and 2+ years of experience in cleaning, managing, and conducting analysis with large quantitative datasets in STATA or R.
  • Ability to work well independently and in a multidisciplinary, multi-country team.
  • Excellent organization skills, efficiency, and attention to detail.
  • Excellent oral and written communication skills.

 The ideal candidate will also have:

  • Mastery of other statistical analysis software (e.g., MPlus, ArcGIS).
  • Expertise in advanced quantitative methods, such as missing data treatment, causal inference, longitudinal and multi-level modeling, and structural equational modeling.
  • Experience working with large-scale experimental and quasi-experimental policy and/or program evaluation projects.

The position will be based at NYU NY.

 

Application instructions

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