The position has a teaching load of two courses per semester, with repeat preparations being common. Successful candidates will have an active research agenda and should be prepared to engage a diverse group of students in this program of research. Teaching responsibilities for this position will include introductory statistics, as well as intermediate, advanced, and capstone courses, for example multiple regression, and design and analysis. Other courses may be taught depending upon the candidate’s field of specialization, for example public health, causal inference, epidemiology, survival analysis, demography, or bioinformatics.

Located in Northampton, MA, Smith College is the largest historically women’s college in the country and is dedicated to excellence in teaching and research across the liberal arts. A faculty of outstanding scholars interact with students in small classes, as advisors, and through student-faculty research projects. Smith College offers opportunities to foster faculty success at every career stage, such as those listed here. The College is a member of the Five College Consortium with Amherst, Hampshire and Mt. Holyoke Colleges, and the University of Massachusetts Amherst. Students cross-enroll and faculty cross-teach across the Five Colleges. SDS is a growing interdisciplinary program with many avenues for research and pedagogical development; further details about the SDS program may be found at https://www.smith.edu/academics/statistics. Submit application at http://apply.interfolio.com/93173 with a cover letter, curriculum vitae, a statement of teaching philosophy, a research statement, a diversity/inclusion statement, and the contact information for three confidential references. Semi-finalists will be asked for a written statement on data ethics. Review of applications will begin on October 8, 2021. Diversity and a culture of equity and inclusion among students, staff, faculty, and administration are crucial to the mission and values of Smith College. We are an Affirmative Action/Equal Opportunity employer and do not discriminate on the basis of race, gender, age, color, religion, national origin, disability, sexual orientation, gender identity and expression or veteran status in the recruitment and employment of faculty and staff, and the operation of any of its programs and activities, as specified by all applicable laws and regulations. Women, historically underrepresented minorities, veterans, and individuals with disabilities are encouraged to apply.