Data Analyst - Elena Naumova Research, Friedman School of Nutrition - (20001091)
This is a limited term position ending November 30, 2021. This is a grant funded position and is not eligible for severance pay.
The Division of Nutrition Epidemiology and Data Science at the Freedman School of Nutrition Science and Policy at Tufts University conduct research and teaching activities, with a strong emphasis on innovation, critical thinking, reproducibility and transparency. The Friedman School is one of the leading graduate training and interdisciplinary research institution on nutrition worldwide.
The Data Analyst will design and set up databases for data coding and entry, gather and manage data, conduct statistical analysis and provide interpretation of results to support research findings or business decisions.
Bachelor's degree and 1-3 years related experience.
Basic SAS/SPSS programming and data manipulation skills, experience creating data entry screens, verification and documentation.
Strong analytical, critical thinking, math and writing skills.
Excellent attention to detail.
Advanced data visualization skills in R and Tableau.
A Master's degree and 3 years' experience in education/research environment highly desirable.
Knowledge in general and molecular nutrition and understanding of data visualization principles of complex data preferred.
An employee in this position must complete all appropriate background checks at the time of hire, promotion, or transfer.
Tufts is a leader in American higher education, distinctive for its success as a moderately sized university that excels at research and providing students with a personal experience. Our unique combination of research and liberal arts attracts students, faculty and staff who thrive in our environment of curiosity, creativity and engagement.