The successful candidate will collaborate with faculty and research staff in the processing and analysis of large-scale survey and census data. Substantial experience with statistical packages used by social scientists such as Stata, SAS, and S-Plus is an absolute requirement. The candidate must be able to work in a mixed computing environment that relies on Unix servers, NT servers and Windows NT workstations and should be familiar with standard internet tools such as telnet, ftp and the World Wide Web. In addition to these computing skills, the candidate should be familiar with the social science environment and standard social science data sources and should have a solid grounding in applied statistics. The candidate should also be well-organized, attentive to detail, and able to respond to deadlines in a timely fashion.
Salary is competitive and commensurate with experience.
The position is full-time for one year subject to reappointment. Princeton University is an affirmative action, equal opportunity employer. As a member of the Computing and Data Analysis Core, this person will coordinate services and data resources with the Population Research Library. Experience in staff training and in-depth use of Microsoft Office products, Netscape, and Outlook required. Archiving responsibilities include the support of research activities by providing acquisition, access, preservation, and utilization of various kinds of data, such as cross-sectional and panel survey, population and housing census, public records, geographic information, and qualitative data.