Senior Research Specialist

Prof. Gianluca Violante (Princeton University) is seeking one Senior Research Specialist to work on research supporting the Global Repository of Income Dynamics (GRID) project. The aim of the GRID Project is to assemble an open-access international database that provides a large collection of micro statistics on income inequality and income dynamics at the individual level. All statistics in the database are computed from administrative records on earnings histories for each country and harmonized to ensure cross-country comparability. Currently, the Project includes 20+ countries, with further expansions planned over the coming years.

Note that this is a remote position, but the individual must be eligible to work in the US. Please see https://www.nber.org/hiring-research-assistant for details with regard to the requirements.

This is a one-year term position. End date is dependent on start date, which may vary.

• Independent data collection, cleaning and analysis with little to no supervision
• Project management (organizing logistics of experiments & data collection)
• Developing experiment designs and data collection tools independently
• Admin support for GRID project
• Creation of presentations, editing of research papers, drafting of briefings, and potentially co-authoring research with the project directors.

• Bachelor’s degree required; Master’s degree preferred
• Strong quantitative skills and experience with coding and empirical research methods. 
• Candidates with prior research experience are strongly preferred, particularly those with programming experience in Stata, SAS, R, and/or Python.
• Applicants need not be Economics majors, but they should have a strong interest in, and some exposure to, Economics.

Princeton University is an Equal Opportunity and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.

If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.

The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.