The Department of Sociology at Princeton University seeks applicants for full-time post-baccalaureate research assistant positions in the Eviction Lab. Successful candidates will have a background in quantitative social science, economics, statistics, data science, and/or computer science. The Eviction Lab at Princeton University is an interdisciplinary research team who has built the first-ever national database of evictions in America. We have validated, mapped, and published our data through an interactive website (evictionlab.org). The Eviction Lab is currently working on many studies on housing insecurity, homelessness, housing affordability, and more. Research assistants will have access to novel and very large datasets not publicly released, and the opportunity to work closesly with senior researchers. We seek self-driven, creative thinkers with strong quantitative skills to assist with analysis, data collection, and publication of research findings. Successful candidates must have previous experience managing and analyzing quantitative data using sophisticated statistical or computer programming techniques. Proficiency in R is required. Previous experience with Python, ArcGIS, web scraping, accessing data through APIs, advanced data visualization, managing large datasets, or working with administrative data is a plus. Previous coursework or research experience in sociology, urban studies, or housing instability is not required but useful. This is a one year term appointment with the possibility of an additional year renewal. Applicants should submit a dossier including: (1) a complete vita, (2) a cover letter of interest, (3) names and contact information of up to three persons who can serve as references, (4) a writing sample that includes quantitative analysis. You may also submit a coding sample however that is not required. All materials should be submitted as 1 continuous pdf. Materials submitted by regular mail or email will not be accepted.
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Job Type
Full-time
Career Level
Entry Level
Number of Employees
1,001-5,000 employees