Major Responsibilities: Provides statistical and software consulting services for undergraduates, graduate students and faculty engaged in quantitative analysis of machine-readable data in a variety of academic disciplines, particularly economics, finance, politics, public policy, and sociology. Assists patrons in the choice, application, and interpretation of quantitative methods, and with the use of statistical software needed to implement these methods. Retrieves/manipulates complex data from a variety of sources; transfers data between platforms for use in multiple computing environments; provides extracts/tables based on electronic data, including government census/survey data and public opinion polls. Organizes, publicizes and conducts group instruction sessions and individual consultations as needed for various constituencies with significant data services requirements, including the departments of Politics, Economics, Woodrow Wilson School. Provides consulting and instructional services at the Data and Statistical Services Lab and, as needed, onsite at other Library facilities. Maintains web presence, including creation of documentation. Evaluates and designs web-based access tools and end user systems. Maintains efficient operation of the Data and Statistical Services Lab and Princeton’s digital data archive. Processes data and creates metadata for files in the data archive. For more detail on Data and Statistical Services, consult http://dss.princeton.edu/.
Essential Qualifications: Master's degree and expertise with at least one major statistical package heavily used at Princeton (STATA, R, SPSS). Experience providing direct data services to patrons, including research consultations or instruction. Strong background in computing and quantitative data analysis.
Preferred Qualifications: Advanced degree in a quantitative social science or equivalent experience. Demonstrated ability and experience functioning successfully in a fast-paced environment with a strong service orientation. Experience in using complex machine-readable data; programming ability; some UNIX/server administration background. Expertise with Stata and R.
Desirable: Strong econometrics background or familiarity with economic and/or financial data. Expertise with other statistical packages, particularly SAS and MATLAB.
Compensation and Benefits: Compensation will be competitive and commensurate with experience and accomplishments. 24 vacation days a year, plus 9 paid holidays and 2 personal days. Annuity program (TIAA/CREF), group life insurance, health coverage insurance, disability insurance, and other benefits are available.
Nominations and Applications: Review of applications will begin immediately and will continue until the position is filled. Nominations and applications (cover letter, resume and the names, titles, addresses and phone numbers of three references) will be accepted only from the Jobs at Princeton website (requisition number 1300412). Link directly, or copy-paste into your browser: http://jobs.princeton.edu/applicants/Central?quickFind=63867
PRINCETON UNIVERSITY IS AN EQUAL OPPORTUNITY/AFFIRMATIVE ACTION EMPLOYER.
For information about applying to Princeton, please link to