"Assistant Professor of Data Science"

The Data Science Program at Oberlin College invites applications for a full-time tenure track faculty position in the College of Arts and Sciences in the areas of Data Science and Statistics with an emphasis on Epidemiology beginning Fall 2026. We encourage candidates with teaching and research interests related to Data Science and Statistics to apply, especially candidates working in epidemiology and its intersections with modeling, time-series analysis, or network analysis.

The incumbent will teach the standard teaching load (4.5 courses per year) at all levels of undergraduate education in the general area of Data Science, Statistics, and Epidemiology. We are especially seeking candidates with expertise in epidemiology and its intersections with modeling, time-series analysis, or network analysis. The incumbent will also be expected to engage in sustained scholarly research and/or other creative work appropriate to the position and participate in the full range of faculty responsibilities, including academic advising, mentoring undergraduate research and service on committees. The Program and College actively support new faculty with mentoring and professional development opportunities, including a paid pre-tenure leave for those on the standard six-year track, startup support, and internal grants for conference travel and research.

Among the qualifications required for appointment is the PhD degree (in hand or expected by first semester of academic year 2026-27) in Epidemiology, Biostatistics, Data Science, or related disciplines. Candidates must demonstrate commitment to and potential excellence in undergraduate teaching. Oberlin is especially interested in candidates who can contribute to the distinctiveness and excellence of our academic community through their research, teaching, and service. The incumbent will bring understanding of or experience working with underrepresented and diverse academic populations. Oberlin recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, gender, gender identity, sexual orientation, disability, age, veteran's status, and/or other protected status as required by law.

Within the range established for this position, salary will be commensurate with qualifications and experience and includes a competitive benefits package.

All application materials must be submitted electronically through Oberlin College and Conservatory's online application process at: https://jobs.oberlin.edu/ A complete application will be comprised of: 1) A cover letter describing your teaching, scholarship, mentorship, and service, detailing how you contribute to an inclusive learning environment; 2) A Curriculum Vitae; 3) An unofficial graduate transcript; 4) Statement(s) on your teaching philosophy and expertise in diversity, equity, and inclusion; 5) A research statement that includes how you will support undergraduate research and, if applicable, how you might incorporate undergraduate students into your research program; and 6) Letters of Reference from three recommenders. Review of applications will begin on October 17, 2025, and will continue until the position is filled. Completed applications received by the October 17, 2025 deadline will be guaranteed full consideration. Questions about the position can be addressed to: Adam Eck (Chair of Data Science) at aeck@oberlin.edu or by phone at 440-775-8095.