The University of Virginia School of Data Science seeks candidates to teach undergraduate and graduate students in the data science curriculum. Please review our academic programs on our website at: https://datascience.virginia.edu .

This opportunity includes instruction in a classroom or distance education setting and may include curriculum development. Compensation will take the form of wages. A master's or terminal degree in a data science related field is required. A PhD in a data science related field is preferred but not required. Candidates must have experience in and a strong commitment to teaching in higher education.

To apply, please submit an application online through Workday at: https://uva.wd1.myworkdayjobs.com/UVAJobs and attach a current CV, cover letter, complete contact information for three professional references. Search on requisition number: R0015506.

This position will remain open until filled.

Questions regarding this position should be directed to Philip Bourne, Dean of the School of Data Science, peb6a@virginia.edu .

Questions regarding the application process should be directed to Keith Johnson fkj2t@virginia.edu.

The University will perform background checks on all new hires prior to employment. This position will require an education verification.

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician's Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.