The goal of the Nutrition Innovation Lab is to provide support in Asia and Africa for implementation of effective interventions that integrate agriculture and nutrition activities to achieve a significant reduction in stunting among children less than 24 months of age and reduce undernutrition in mothers. Our specific goals include generation of empirical evidence of what works at scale through applied research, and enhancement of institutional and human capacity particularly in Nepal and Uganda for research and implementation of effective nutrition activities at scale in future years.
The objective of this position is to manage and analyze household survey and other data assembled by the Nutrition Innovation Lab, and contribute to the dissemination of research results. The position will require self-motivation and responsiveness to collaborators for timely and accurate data management tasks such as cleaning, merging, recoding, and summarizing complex data; selection and execution of appropriate statistical, econometric and visualization techniques; documentation of analytical methods and model code; construction of tables and charts for presentation and manuscripts; drafting, editing and delivering manuscripts and presentations; and preparing final datasets and model code for public use and replication of research findings. This position is anticipated to be funded for 2 years and the initial appointment is for 1 year with an annual renewal conditional on performance and funding availability.
Qualifications:
Basic Requirements:
- Applicants must have demonstrated success in management and econometric analysis of complex data from household surveys, remote sensing and/or administrative sources, using Stata or R and other software as appropriate, along with demonstrated experience completing and disseminating research results about farm household behavior, agricultural development, food markets and nutrition in Africa or Asia.
- Applicants must demonstrate excellent written and oral communication skills, ability to work well independently and as part of a team, and attention to detail with accurate and timely performance of quantitative data analysis, data visualization and writing.
- Applicants must have completed an MS or similar degree in agricultural economics, health economics or a related field.
- Doctoral-level training is preferred.
- Experience working with diverse collaborators on multiple research projects.
- Experience with primary data collection and other fieldwork in Africa or Asia.
- Coursework and experience regarding maternal and child health among farm households in Africa or Asia.
An employee in this position must complete all appropriate background checks at the time of hire, promotion, or transfer.
Equal Opportunity Employer minority/females/veterans/disability/sexual orientation/gender identity.
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