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Field Research Associate - Orphans and Vulnerable Children in Mozambique


Prof. Dean Yang seeks qualified applicants for a position as a Field Research Associate for a project in central Mozambique (Manica, Sofala, and Zambezia), most likely to be based in Chimoio, Manica province. The project is in the health sector and will focus on health and economic (microfinance) interventions for orphans and vulnerable children with a large focus on HIV/AIDS interventions. The partner implementing organization in Mozambique is World Education/Bantwana. The position will offer an opportunity to gain first-hand field management experience in an organization undertaking cutting-edge development research.
The Field Research Associate will work closely with academic researchers and other field staff to perform a variety of tasks including, but not limited to: designing survey questionnaires, conducting qualitative research, running pilot exercises, refining study design and survey instruments, managing survey teams, negotiating contracts with survey firms, checking and analyzing data, cleaning data and assisting in preliminary analysis, assisting in the writing of project reports and policy memos, and coordinating with local partners running the programs being evaluated.
Desired Qualifications and Experience:
  • A Master’s degree in economics, social sciences, public policy, or related fields. Training in microeconomics and econometrics/statistics preferred. Candidates with a Bachelor’s in a related field and substantial experience will also be considered.
  • Past experience living in a developing country and working in the health and/or microfinance sectors is a strong plus.
  • Excellent management and organizational skills along with strong quantitative skills.
  • Fluency and excellent communication skills in English, fluent or advanced Portuguese.
  • Flexible, self-motivating, able to manage multiple tasks efficiently, and team player.
  • Demonstrated ability to manage high-level relationships with partner organizations
  • Knowledge of Stata (strongly preferred) or other data analysis software is preferred.
  • Familiarity with randomized controlled trials preferred.
Length of Commitment: Two years
Start Date: May 01, 2016 - June 30, 2016

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