Statistical Support Specialist

Posted to IASSIST on: 2006-08-29

Employer: Social Science Research Services/Instructional Technology Group,

Employer URL:


Position Description: The Yale University Social Science Statistical Laboratory (StatLab) seeks a data management and quantitative analysis specialist to perform the following duties: Provide faculty and students with consulting, user support and training in relevant applications and tools. Provide expertise and support for research design, computational projects and applications with large statistical and/or geospatial datasets. As part of ITS Academic Media and Technology: Design and implement long term Social Science Quantitative initiatives for the university. Provide guidance at all stages of the research process on discipline-related needs including statistical, geospatial and database management skills. Support users of teaching and research facilities; assist with managing, analyzing and producing projects with statistical and/or geospatial datasets. Develop online documentation and training materials relevant to statistics and data management. Help manage workshops and consulting services for faculty, students and StatLab consultants.

Bachelor’s degree in the Social Sciences, Information Science or related fields and four years of experience in an academic teaching or research environment, or equivalent combination of education and experience. Experience with advanced statistics and/or geospatial analysis, methodology and related software. Posses firm understanding of technical applications in statistical research and instruction. Strongly preferred: Masters degree, statistical consulting experience and/or quantitative teaching in the Social Sciences. Experience managing websites relating to statistics, data resources, geospatial and/or social science computing. Knowledge of and experience with GIS, statistical analysis software, databases and data management. Ability to manage and prioritize multiple projects simultaneously. Preferred: experience with HTML/XML, UNIX, network protocols, Perl, PHP, and Java programming.

Archived on: 2006-10-29