Position Title: Statistical Research Consultant

Duties & Responsibilities: Successful candidates must be service oriented and able to work collaboratively with Library professionals; statistical, GIS, and computing specialists; and faculty and graduate student researchers on advanced data-intensive research across multiple disciplinary domains, including the social, behavioral, economic, and biological sciences. The successful candidate will help faculty and students find solutions to specific research problems and facilitate the development of new research skills and services that advance the research environment at the University of Virginia. Specifically, we are looking for candidates who can add depth to our statistical consulting services by advising and educating researchers on advanced statistical modeling through consultations, workshop instruction, and written tutorials. In addition, the ability to help researchers extract and format data from digital sources is highly desired.

Position Qualifications: Qualifications: Required: Master's or Ph.D. in statistics or related field. Mastery of one or more statistical software environments (e.g., R/S-Plus, Matlab, SAS/JMP, Stata, SPSS) should be clearly identified on applicant's c.v. In addition, applicant must have a demonstrated proficiency in the practical application of statistical methods, including 4-7 years of experience analyzing, summarizing, and visualizing data from the physical, engineering, and/or social sciences. Applicant must possess an understanding of the academic research process. Excellent interpersonal, verbal and written communication skills, a clear commitment to supporting the research projects of faculty and graduate students, and an awareness of and curiosity for methodological trends and new statistical techniques are considered necessary for this position. In addition, programming and scripting skills (e.g., Python, Perl, Javascript, SQL), broad statistical research work experience, especially collaborative research ending in publications, reports, and/or grant proposals, are considered highly desirable.

Salary Range:

Benefits:

Web Site: https://jobs.virginia.edu/

Application Address: Applicants must apply through the University of Virginia online employment website at <https://jobs.virginia.edu/>. Search by posting number 0611917, complete application, and attach cover letter and resume, with contact information for three current professional references. For assistance with this process contact The University of Virginia is an Equal Opportunity/Affirmative Action employer.

Contact Email: Charlotte Albright (cda6b@virginia.edu), Library Human Resources Generalist at (434) 243-3509.

Application Deadline: Open until filled