Predoctoral Research Assistant
Professor Jesse Rothstein is hiring a predoctoral research assistant to take part in his academic and policy research. Rothstein is the Carmel P. Friesen Professor of Public Policy and Economics and Faculty Director of the California Policy Lab at UC Berkeley. Examples of his research can be found here.
The predoc will be involved in projects on a range of topics in labor economics and public policy, potentially including work on the economics of education, unemployment insurance, intergenerational mobility, the social safety net, determinants of wages and employment, and labor market and education policy. Data analysis will be a primary component of the job. This is a full-time position on a one-year renewable contract.
The RA appointment will be at the Institute for Research on Labor Employment (IRLE), and the RA will benefit from a community of researchers at IRLE, at the California Policy Lab, and throughout the university. The position may be particularly attractive to those considering graduate study in economics or public policy. Recent past Rothstein predocs have gone on to Ph.D. programs at Harvard, Princeton, and the University of Virginia.
The Research Associate will assist Professor Jesse Rothstein’s academic and policy research. This may include gathering, preparing, and analyzing research data; reviewing literature; editing drafts and presentations; and preparing charts, tables, and other visual aids. Specific responsibilities include:
- Cleans and prepares data sets, primarily from government sources, for analysis, using Stata.
- Analyzes research data; prepares and summarizes information; recommends and implements statistical approaches.
- Prepares graphs, tables, and other displays of the results of research and analysis.
- Assists with preparation of manuscripts and presentations, including gathering references, copyediting, and confirming internal consistency.
- Collaborates on the design, documentation, testing and implementation of research studies.
- Assists in management of research projects, including helping to coordinate research team and/or management of data access agreements, publication agreements, and other administrative aspects of the projects.
- Assists in proposal writing.
- Demonstrated quantitative skills and experience in data/statistical analysis, including analyzing large government datasets.
- Strong Stata programming skills.
- Ability to take initiative and manage projects with minimal supervision, including strong time management skills.
- Skills to communicate complex information in a clear and concise manner both verbally and written.
- Strong interpersonal and communication skills, including strong writing skills.
- Must reasonably be able to obtain within 4 months of start date (or already have) U.S. Census Special Sworn Status to access restricted-use data. See information here.
Candidates must have authorization to work in the United States. The university is unable to sponsor candidates for visas. The position requires in-person work at UC Berkeley; it is eligible for up to 40% remote work.
- Bachelor’s degree in economics, public policy, or a related field, and/or equivalent experience/training.
- Coursework and/or applied research experience in econometrics, including experience with Stata or other similar language.
Salary & Benefits
This is a full-time, 1-year contract position that is eligible for full UC benefits with the anticipation of extension based on available funding and satisfactory performance. Hourly rate is commensurate with experience. The posted range is $33.57 – $43.11 / hour. For information on the comprehensive benefits package offered by the University visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html.
How to Apply
The official job posting is here; the job ID is 64282. To apply, create an account in the system and submit your cover letter and resume as a single attachment. Internal applicants can find the listing through this site. The first review date for this job is February 14, 2024.
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