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NOTE:  Salary will be based on qualifications.

Social Science and Statistical Computing Consultant

The Office of Computing and Information Technology (CIT) at
Princeton University seeks an individual who will provide support for
quantitative data analysis to faculty, undergraduates, and graduate
students.  The consultant will report to the manager of CIT's Data and
Statistical Services group, which also includes the University's Data
Library.

Responsibilities. The consultant's primary responsibility will be
to provide direct consulting services for users, often, but not
exclusively, in the social science disciplines, who are making
use of data and various forms of statistical analysis for
teaching, learning, and independent research. Specific
responsibilities will include retrieving and manipulating complex
data from a variety of physical sources, including multivolume
datasets, CDROMs, and Internet archives; transferring data
between platforms for use in multiple computing environments,
including UNIX, Windows, and Mac OS; providing extracts and
tables based on government-produced data. The consultant will
assist users in the analysis of census and survey data, public
opinion polls, and various academic research data. The consultant
will share responsibility for the evaluation, installation, and
support of UNIX, microcomputer, and mainframe-based statistical
software such as SAS, SPSS, S-Plus, STATA, Statgraphics, JMP,
etc., and for related software such as DBMS/COPY. Support will
include individual consultation, group instruction, and
documentation. The consultant will also hire, train and supervise
several graduate student assistants.

In addition, the consultant will act as the DSS manager's deputy
in her absence and will assist the DSS manager in developing
policies and implementing procedures for the data library and
data/statistical support services as new technologies emerge, the
practices of data providers change, and the needs of users evolve
over time.

Qualifications:  A Master's degree or the equivalent in a quantitative
social science and a strong background in computing and data analysis are
required.  Essential technical skills include:  expertise with the major
statistical packages;  experience in using complex data, especially
government survey and census data;  programming ability; and familiarity
with UNIX, mainframe, and microcomputer environments.  Equally important
are a strong service ethic, enthusiasm for working with students and
faculty, and excellent communications skills.  A minimum of three years'
prior experience assisting users with quantitative data analysis in a
multi-platform academic environment is highly desirable.

Application deadline :  October 31.  Applicants should send a resume and
letter of application including two references to: Bruce Finnie
(finnie@Princeton.EDU), Computing & Information Technology, 87 Prospect
Ave., Princeton University, Princeton, NJ 08544.  Phone: (609)258-3068.
FAX: (609)258-3943.