Build a New Kind of School
We are seeking talented people who are excited to create a forward-thinking community with a diversity of perspectives, backgrounds, and ideas. The School of Data Science is building a community dedicated to furthering data science education, research, and engagement. If you thrive in a startup atmosphere—where innovation, hard work, and enthusiasm are key contributors to success—and are excited to build a new kind of School, then we encourage you to apply.
The scope of data science at UVA is broad and inclusive. What are the Domains of Data Science?
Faculty Positions
Assistant Dean of Academic and Faculty Affairs
The School of Data Science at the University of Virginia seeks an experienced and strategic-minded tenured professor to join our team. The Assistant Dean will also hold a tenured faculty position in the School of Data Science. Reporting to the Associate Dean for Academic and Faculty Affairs, the Assistant Dean will be pivotal in overseeing and managing aspects of the faculty life cycle (e.g., recruitment and professional development) and academic affairs (e.g., curricula oversight of graduate and undergraduate programs, strategic planning, oversight of day-to-day operations). The Assistant Dean holds a 5-year renewable administrative appointment for these duties.
Open Rank Tenured or Tenure-Track Professors of Data Science
The School of Data Science at the University of Virginia seeks applicants for multiple Open Rank Tenured or Tenure-Track Professors of Data Science. The school is assembling a diverse and world-class faculty with broad expertise in data science. Candidates with a research focus in any data science domain are encouraged to apply, especially when working in artificial intelligence systems, large-language models, machine learning, and predictive analytics.
Open Rank Professor of Data Science, Academic General Faculty, Teaching Track
The School of Data Science at the University of Virginia seeks applicants for multiple Open Rank Academic General Faculty (Teaching Track) Professors of Data Science. We are seeking candidates with a pioneering spirit who have expertise in pedagogy, instruction, and advising in data science. Exceptional candidates will demonstrate experience with, or the potential for, sustained scholarship in data science education in an academic or industry setting.
Quantitative Foundation Distinguished Professorships in Data Science
The School of Data Science at the University of Virginia seeks applicants for multiple endowed professorships in data science at the rank of tenured associate professor or full professor. These Quantitative Foundation Distinguished Professorships are made possible by a generous gift from the Quantitative Foundation to establish the School of Data Science. Candidates for endowed faculty positions (Associate and Full Professor with tenure) must have a demonstrated record of excellence in research, teaching, and advising, in data science and/or closely related fields, and must have established a national/international reputation for contribution to the field in methodology, application, and impact.
School of Data Science Faculty Wage
The School of Data Science seeks candidates to teach undergraduate and graduate students in the data science curriculum. This opportunity includes instruction in a classroom or distance education setting and may include curriculum development.
Position Type: Part time
Workday Job ID: R0015506
Staff Positions
Intermediate Data Scientist
The School of Data Science at the University of Virginia seeks an Intermediate Data Scientist to work in collaboration with Don Brown, Ph.D., and Sana Syed, M.D., M.S., focusing on understanding gut structure and function in common gastrointestinal (GI) diseases, using cutting-edge machine learning and artificial intelligence methods. The overarching goal of this work is to personalize care for pediatric patients suffering from chronic GI disease by improving diagnostics, predicting future disease complications, and identifying better disease biomarkers and novel drug targets. This is a one-year restricted position; continuation is based on the availability of funding and satisfactory performance.
Position Type: Full Time
Job ID: R0056431
Intermediate Data Scientist: Research Data Enclave
The School of Data Science at the University of Virginia seeks an Intermediate Data Scientist to work in collaboration with Don Brown, Ph.D., and Neal Magee, Ph.D., focusing on UVA’s Research Data Enclave (RDE), a visionary initiative that will be designed to serve as the catalyst for unprecedented strides in collaborative research, translational science, and data sharing. Building on the success of the integrated Translational Health Research Institute of Virginia's Research Data Commons, the RDE will support a much-needed expansion of the University’s research data resources, allowing researchers to support team science and accelerate scientific innovation across Grounds. The data scientist will work initially with preliminary users and in later years with new users to specify and help define solutions for the data science research needs of the RDE users.
Position Type: Full Time
Job ID: R0058370
Assistant Director, Career and Professional Development
The transition from student to skillful professional is integral to the success of University of Virginia’s School of Data Science graduates. We are seeking an enthusiastic, dedicated, and student-centric Student Affairs practitioner to serve as our Assistant Director for Career and Professional Development for the Office of Student Affairs. The Assistant Director of Career and Professional Development will provide career guidance, professional development, and job search assistance to students and recent graduates through a strategic plan of outreach and programming. The Assistant Director will play a critical role in helping students and alumni realize their career and professional aspirations.
Position Type: Full Time
Job ID: R0059693
Postdoctoral and Research Scientist Positions
Postdoctoral Research Associate: AI and Human Resource Management
The Sloane Lab at the University of Virginia's School of Data Science is seeking a postdoctoral researcher to conduct impactful and cutting-edge qualitative research on AI and human resource management. The ideal candidate will have expertise in conducting qualitative data collection and analysis and will examine research questions related to how AI technologies are integrated into and impact human resources management practices, specifically recruiting.
Position Type: Full Time
Job ID: R0057645
Postdoctoral Research Associate: Computational Neuroimaging
The School of Data Science at the University of Virginia is seeking a postdoctoral researcher to work with Javier Rasero, an assistant professor of data science, at the InDaNeurOmics research unit. The unit's mission is to investigate individual differences in clinical and preclinical populations by integrating neuroimaging and other omics data.
Position Type: Full Time
Job ID: R0057894
Student Positions
Communications Intern (Student Wage)
The University of Virginia School of Data Science is seeking a Communications Intern to work alongside the Communications Team in the summer of 2024. The intern will assist with writing, social media, public relations, website editing, event coverage, and data collection. The successful candidate will be supervised by the Director of Communications and work alongside a team of professional marketers and communicators. The Intern will support creating content for a variety of audiences through digital, print, and social outlets.
To apply: complete an application online and attach a cover letter expressing interest and qualifications, resume/CV, and digital portfolio.
Position Type: Part Time
Job ID: R0058669
Hourly pay: $20.00
Please contact Emma Candelier (EC2MS@virginia.edu) with questions related to this position.
If you are interested in joining the School of Data Science team but do not see a position that fits your interests, send an introduction and resume to datascience@virginia.edu. We are always seeking talented individuals, so if a future position becomes available that matches your interests and background, we will be in touch.
