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Job ID: 144462

Data Analyst - Friedman School of Nutrition
Tufts University

Date Posted Jul. 10, 2020
Title Data Analyst - Friedman School of Nutrition
University Tufts University
Boston, MA, United States
Application Deadline Open until filled
Position Start Date Available immediately
  • Part-Time/Temporary Staff
  • Research/Technical/Laboratory

This is a part-time position working 20 hours per week. This is a limited term position ending September 30, 2020. This is a grant funded position and is not eligible for severance pay.

The Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, established in 1981, is the only self-governing graduate and professional school of nutrition in North America. Its mission is to improve the nutritional well-being of people worldwide through the creation of new knowledge; the application and dissemination of information to inform evidence-based policy making; and the education and training of future leaders in the field. This mission is fulfilled by bringing together experts from the areas of clinical nutrition, social and public policy, and biomedicine. Faculty at the school include biomedical scientists, economists, epidemiologists, nutritionists, physicians, political scientists and psychologists who focus on a myriad of issues with the common thread of nutrition and its role in fostering the growth and development of human populations.

Some of the important research conducted by the Friedman School has included participation in two separate, five-year nutrition projects in Ethiopia. The first, Empowering New Generations to Improve Nutrition and Economic Opportunities (ENGINE) from 2011-2016, aimed to strengthen nutrition specific and nutrition sensitive (agriculture, education, social protection) programs to improve the health and nutritional status of pregnant women and children up to age five in select regions of Ethiopia. The second project, Growth through Nutrition, continues with some of the same objectives of ENGINE but with more of an emphasis on operational research, and a new component dealing with Water, Sanitation and Health (WASH). Growth through Nutrition, also, for the first time, includes a small grants research component.

Both ENGINE and Growth through Nutrition have generated an enormous amount of quantitative and qualitative data, only some of which has been analyzed to date. The role of the part-time data analyst is to assist in the continued analyses of existing data sets.

This part-time, limited appointment Data Analyst position based in Boston will assist Dr. Eileen Kennedy, Principal Investigator (PI) for Growth through Nutrition, to conduct analyses of existing data from ENGINE and Growth through Nutrition.

This description is not intended to be all-inclusive. Employee may perform other duties as assigned to meet the ongoing needs of the organization. The funding for this position is through September 30, 2020, with the possibility of extension.

Essential Functions:
Provide technical support in data cleaning and documentation of existing data sets
Carry out the analytical tasks specified in the analysis protocol developed by the PI
Prepare tables with analysis results, assist in interpretation and write-up of methods and results for publication
Conduct literature reviews to support the interpretation of results and any other related tasks as needed.


Basic Requirements:
1-3 years related experience;
Master’s Degree (or in progress) in nutrition, public health/epidemiology, biostatistics, or econometrics;
Microsoft Office Suite, fluency in SPSS or STATA
Ability to take initiative and to function independently; skills in creative problem-solving; capacity to respond to the pressure and multiple demands and timetable; takes responsibility for his/her tasks; brings energy and dedication to day-to-day duties; offers ideas for improving functioning of team and workplace.
Relevant graduate level training in statistics and data analysis; experience with both quantitative and qualitative analysis techniques; strong organizational skills; ability to work independently under deadlines; and familiarity with survey research methods.
Preferred Qualifications:
Experience working with large, complex data sets; experience with large longitudinal data sets.

Special Work Schedule Requirements:
This position will involve flexibility in working schedule. This is a part-time position working 20 hours per week.

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