The University of Michigan Law School has an opportunity for a Research Associate position at its Empirical Legal Studies Center, with duties focused on data management and analysis. This position will support faculty members’ work on empirical research projects relating to a variety of substantive fields of law and policy. Duties can be tailored to some degree to the candidate’s skill set; a candidate with advanced statistical or econometric analysis skills will likely be assigned more analysis tasks that take advantage of those skills. Regardless, the job will definitely entail substantial work on data management tasks, some of which are fairly complex.
Please note: This is a full-time, 40 hours a week position. The ideal candidate will be one who is interested in staying for approximately a year. It may be possible to extend the position to a longer-term one after a year, if additional funding becomes available and continued availability of work matching the candidate's skill set. Salary is negotiable, depending on the applicant's skill set and experience.
- Design, execute, and document data management for several projects using stastical packages (primarily Stata).
- Generate descriptive statistics.
- Complete data management tasks such as formatting, cleaning, reshaping, appending, and merging datasets, and performing consistency checks and diagnosing proglems.
- Data analysis tasks using methods such as regression analysis.
- Produce and format output into graphs and tables.
- Other duties as assigned.
The optimal candidate will have an undergraduate degree in statistics, economics, or a social science that requires quantitative methods training. The candidate must have data management experience as well as experience and comfort with statistical programming packages such as Stata (the language that will be used for most assignments), R, SPSS, or SAS. This is a 40 hours per week position, Monday through Friday.
Masters degree in Statistics, economics, or social science that requires quantitative methods training as well as training and experience in statistical analysis is preferred. Advanced Excel skills are preferred.
Although the Posting End Date may indicate otherwise, this job may be filled and closed anytime after a posting duration of seven calendar days.