Senior Research Specialist

Ellora Derenoncourt (Princeton University), Chi Hyun Kim (University of Bonn), Moritz Kuhn (University of Mannheim), and Moritz Schularick (IfW Kiel, Sciences Po Paris) are seeking one Senior Research Specialist to work on projects on wealth inequality. The main task will be collecting and harmonizing a novel dataset that combines historical and modern data sources on wealth inequality.

The ideal candidate has training in economics and data science, with high interests in economic history. Applicants must have strong programming and quantitative skills. Excellent grades are required, including econometrics or statistics. Previous experience is desirable with empirical research or comparable private-sector work, with preference given to these and related skill sets: coding (especially Stata and Python), advanced econometrics, digitization of archival documents, working with large datasets, and writing research papers.
This is a one-year term position. End date is dependent on start date, which may vary. 

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).

Responsibilities include:

• Independent data collection, cleaning and analysis with little to no supervision
• Admin support (organizing logistics of experiments & data collection)
• Programming experiment designs and data collection tools independently
• Survey implementation, organizing focus groups on your own
• Running and editing interviews independently
• Writing summaries of research, performing literature searches and reviews, and posting/retrieving information from the web

ESSENTIAL SKILLS

• Fluency with statistics, econometrics, and probability theory
• Good programming skills in python and R — experience participating in open source projects a big plus, especially experience with test-driven development
• BA/BS in Economics, Mathematics, Computer Science, or Statistics, or a related field.

PREFERRED SKILLS

• Experience with programs such as SAS, Matlab, and Python.
• Experience with LaTex, Unix/Linux.
• Master’s degree is desirable but not required

Princeton University is an Equal Opportunity/Affirmative Action Employer 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. KNOW YOUR RIGHTS

36.25

No

Yes

180 days

No

No

No

#LI-CN1

Join our Talent Network to receive updates about working at Princeton.
Princeton University job offers are contingent upon the candidate’s successful completion of a background check, reference checks, and pre-employment screening, as applicable.
If you have questions or comments regarding the iCIMS Privacy Policy or iCIMS FAQs , please contact [email protected] .
Go to our careers site.