Research Assistant II Non-Lab

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The Department of Global Health and Population at the Harvard T.H. Chan School of Public Health seeks a research assistant II non-lab to work with Professor Aisha Yousafzai, Professor of Child Development and Health. The research assistant will work on a project in collaboration with UNICEF on 'Integrating Early Childhood Development (ECD) Programming into Nutrition:
From Evidence to Practice in Afghanistan'.

• Job duties and responsibilities include, but are not limited to, the following:
• Review existing programs and policies pertaining to early childhood in Afghanistan
• Contribute to the design, implementation and analysis of a national survey for ECD in Afghanistan including sample size and strategy, survey development, preparing data collection and management system, data cleaning and analysis.
• Contribute to development of ECD promotion modules for frontline works in Afghanistan
• Support training (with potential international travel subject to travel approvals)
• Contribute to report writing and evidence briefs
• Contribute to a regional scoping review of early childhood development programs and policies
• Conduct literature reviews and policy mapping
• Establish processes for obtaining new datasets and support efforts in establishing relationships with data providers
• Conduct quantitative data analysis
• Draft and review presentations to stakeholders to share survey results
• Prepare materials such as charts and tables for publications, conferences, and seminar presentations
• Contribute to reports and manuscript preparation
• Perform other duties as assigned

PLEASE NOTE:

This position has a term date of one year from date of hire

PLEASE NOTE:

Shortlisted candidates will be required to complete a data analysis activity using R or Stata software

• 2+ years of relevant experience is required; a combination of education and experience may be considered.
• Experience with statistical programming software such as R, STATA, or other) is required

• Master's degree strongly preferred
• Prior research experience in global health
• Strong quantative skills (including familiary and experience with software such as R, STATA)
• Strong written and verbal communication skills
• Experience with working independently, as well as with working on projects with large teams

• Appointment End Date: One year from date of hire
• Standard Hours/
  
  Schedule:
  
  35 hours per week
• Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position
• Pre-Employment Screening: Identity

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