The Data Science and Statistics Program in the School of Arts & Sciences at the University of Richmond invites applications for a full-time tenure-track position at the rank of Assistant Professor, to begin in the 2027-2028 academic year. The Data Science and Statistics Program is an interdisciplinary program rooted in the University's liberal arts mission with affiliated faculty from departments across the School of Arts & Sciences. The program offers a minor in data science and statistics and teaches a core sequence of courses in statistical modeling, data science, probability, and statistical learning. The appointment will be housed in the Department of Mathematics and Statistics, with all teaching responsibilities within the interdisciplinary Data Science and Statistics program. The successful applicant is expected to commit to highly effective teaching at all levels of the undergraduate curriculum and to maintain a vigorous research program. Candidates from all subfields of data science and statistics will be considered. Rather than seeking a particular area of specialization, we are looking for candidates who can teach statistical and computational methods to students from a wide range of majors and who are eager to collaborate with the program's affiliated faculty across the natural sciences, social sciences, and humanities. A Ph.D. in statistics, data science, computer science, information science, mathematics, or a related field of research is required by the time of appointment. Applicants should apply online at https://jobs.richmond.edu and submit a curriculum vitae, a cover letter, a statement describing their teaching experience and interests, and a statement describing their research agenda (suggested length: 2 single-spaced pages per statement). The teaching statement should detail their teaching philosophy and commitment to educating a diverse student body through inclusive pedagogies. Candidates for this position may be asked, at a later date, to provide the names and contact information for three references who will be asked to submit letters of recommendation. Review of applications will commence October 12, 2026 and will continue until the position is filled. Please contact the search chair, Prof. Taylor Arnold (tarnold2@richmond.edu), with any questions. For more information on the program, please visit https://datascience.richmond.edu. The starting salary for the position is budgeted at $95,000. Compensation is determined by the candidate’s individual qualifications, experience, education, and skills. The University of Richmond is a private university located just a short drive from downtown Richmond, Virginia. Through its five schools and wide array of campus programming, the University combines the best qualities of a small liberal arts college and a large university. With approximately 4,000 students, an 8:1 student-faculty ratio, and more than 90% of traditional undergraduate students living on campus, the University is remarkably student-centered. The mission of the University of Richmond is to educate in an academically challenging, intellectually vibrant, and collaborative community dedicated to the holistic development of students and the production of scholarly and creative work. A Richmond education prepares students for lives of purpose, thoughtful inquiry, and responsible leadership in a diverse world. The University of Richmond’s strategic priorities are academic excellence, belonging and community, access and affordability, well-being, and experiential learning and community engagement. The University seeks to model a relentlessly welcoming and inclusive campus community that values the expression of difference in ways that promote excellence in teaching, learning, personal development, and institutional success. Our academic community strongly encourages applications that are in keeping with this commitment. Located just minutes from downtown Richmond, Virginia, the University of Richmond blends the intimacy of a small college with exceptional academic, research, and cultural opportunities usually found only at large institutions. The mission of the University of Richmond is to educate in an academically challenging, intellectually vibrant, and collaborative community dedicated to the holistic development of students and the production of scholarly and creative work. A Richmond education prepares students for lives of purpose, thoughtful inquiry, and responsible leadership in a diverse world. Our strategic priorities are academic excellence, belonging and community, access and affordability, well-being, and experiential learning and community engagement. These priorities, coupled with strong benefits, makes the University of Richmond an employer of choice in the Richmond area. UR is a private, highly selective, liberal arts university with a welcoming spirit that prizes diversity of experience and thought. With more than 60 undergraduate majors and an average undergraduate class size of 15 students, the University provides a collaborative learning and research environment unlike any other in higher education, offering students an extraordinary combination of the liberal arts with law, business, leadership studies, and continuing education. The University of Richmond ranks number 30 among the nation’s best liberal arts colleges by US News and World Report, one of many accolades that showcases Richmond as a premiere place to grow professionally and personally.

Assistant Professor of Data Science and Statistics.

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