Applied Statistics, Data analysis/processing, Methodological techniques (general)
The University of Virginia School of Law seeks highly qualified applicants for an Empirical Research Librarian. This is a Senior Professional Research Staff position with the classification of Research Scientist.
Reporting to the Head of the Legal Data Lab, the Empirical Research Librarian is a core position for the law library’s ongoing efforts to support empirical legal scholarship at the University of Virginia School of Law. As a vital member of one of the few such labs in the country, the Empirical Research Librarian will have a direct impact on strategy and planning for the Lab as well as continuing support for faculty research. The University’s newly created School of Data Science makes this a particularly interesting time in legal scholarship at the University and we anticipate many exciting opportunities.
The Empirical Research Librarian will assist library patrons with complex research initiatives involving advanced statistical techniques, natural language processing, and machine learning. The Empirical Research Librarian will also provide consulting and assistance with statistical software programs, study design, data collection, and various forms of analysis. Some reference service, analysis of library operations data, and occasional lecturing will be required. Participation in the statistical and data science communities of the University of Virginia will be expected.
The selected applicant will be required to successfully pass a background check prior to their first date of employment.
PROCESS FOR INTERNAL UVA APPLICANTS: Please apply through your Workday Home page, search “Find Jobs”, and search for ‘Empirical Research Librarian ’. Complete an application online and attach a cover letter, resume, and contact information for three references (name, email address, telephone number, and address).
PROCESS FOR EXTERNAL UVA APPLICANTS: Please visit UVA job board https://uva.wd1.myworkdayjobs.com/UVAJobs, complete the application and attach a cover letter, resume, and contact information for three references (name, email address, telephone number, address). Please note that multiple documents can be uploaded in the box
Applications that do not contain all of the required documents will not receive full consideration.
For questions about the application process please contact Rhiannon O'Coin, Senior Recruiter, firstname.lastname@example.org.
Requirements include: Significant course work in statistical methods; considerable experience in the application of quantitative methods to social science, business, and/or legal data; considerable experience with natural language processing and machine learning techniques; proficiency with a range of statistical software packages, particularly Stata and R; and the ability to work and communicate effectively orally and in writing with the University of Virginia legal community. Experience with Python and a demonstrated ability to visually represent data for academic publication are pluses.
Candidates must have at a minimum a M.S. in a relevant discipline (e.g., Economics, Political Science, Statistics). A Ph.D. is preferred.
Additional Salary Information: Commensurate with experience and qualifications.
Internal Number: R0009265
About University of Virginia School of Law
In 1819, Thomas Jefferson founded the University of Virginia and inaugurated a bold experiment. Two centuries later, Jefferson’s vision thrives. Across Grounds - and throughout the world - UVA students, faculty, staff and alumni challenge convention, break barriers and pursue the greater good.
The University of Virginia is made up of eleven schools and affiliated foundations in Charlottesville plus the College at Wise in Southwest Virginia.
The University of Virginia Health System is a renowned academic medical center committed to providing outstanding patient care, educating tomorrow's health care leaders and discovering new and better ways to treat diseases. The University's Medical Center, School of Medicine and Physicians Group are recognized for their excellence in patient care, education and research.
At UVA, we offer a rich collection of benefits, which have long been recognized and valued for their comprehensiveness and competitiveness in the market. In addition to a robust array of traditional benefits such as health care, time off, and retirement, UVA offers a comprehensive list of benefits and services to help staff and faculty meet their personal and family needs.
BACK TO TOP
ASA JobWeb is Just One of the Benefits.
Discover what else AMSTAT has to offer!
The job you are trying to reach from was originally posted at ASA JobWeb.