Posted to IASSIST on: 2009-10-02
Employer: Wellesley College
Employer URL: https://www.wellesley.edu/
The Research and Instruction Technologist provides support for data driven research and instruction being done in the sciences, social sciences and humanities. Principal tasks will center upon assisting faculty and students in using spatial and numeric data for classroom assignments and research projects through individual consultations, classroom instruction and technical workshops. This position provides support for software such as Stata, SPSS, ArcGIS, and Excel. This position collaborates closely with faculty and colleagues across Information Services and elsewhere on campus to develop and lead new programs to support data driven research and instruction and create an integrated support model for the wide range of specialized academic software in use across campus.
Required: Substantial background in statistical/quantitative data analysis, and good computing skills. Substantial demonstrated experience in at least one major statistical software application in use at Wellesley (SPSS or Stata) or Arc GIS as well as Microsoft Excel. Demonstrated experience working with undergraduate students and faculty and instructing/teaching undergraduates. Ability and willingness to assist users with a wide range of skill in quantitative analysis (from beginning to advanced) of numeric/spatial data. Excellent interpersonal and communication skills. Minimum of three years of related professional experience. Applicants must be able to work well as part of a team and work effectively in a culturally diverse environment.
Desired: An advanced degree in a quantitative social science, statistics, or applied statistics is highly desirable. Experience working with/performing data analysis on commonly used numeric data resources (e.g., U.S. Census data, ICPSR, microdata from majornational/international surveys, statistical databases such as “International Financial Statistics”, etc.). Advanced web authoring skills, and experience creating and maintaining information systems. Background in the use of qualitative/textual data. Experience in a library environment and familiarity with academic library information resources, academic library services, and academic library practices a plus.
Archived on: 2009-11-30