Faculty position in Statistics or Data Science
Faculty position in Statistics or Data Science
Main Campus - Boston, MA
The Division of Mathematics, Computing, and Statistics (MCS) at Simmons University is seeking applicants for a faculty position in Statistics or Data Science, to begin August 15, 2021 (start date negotiable). As a mission-driven and inclusive institution, we invite applications from candidates who share our passion and commitment to empowering women to thrive in their careers. Depending on the successful candidate's experience and professional goals, we offer several different possibilities for position title and responsibilities.
Located in Boston's historic Fenway area, Simmons has a strong tradition of empowering women and of challenging traditional gender roles and expanding opportunities for historically marginalized groups. Simmons University was one of the first higher education institutions to focus on preparing women to become leaders and has evolved to become a university offering a women-centered undergraduate program, with graduate programs open to all. MCS is a collegial and supportive community of teachers and scholars within a uniquely multidisciplinary College. Simmons faculty and staff are truly committed to our mission of preparing students to become champions of social justice and equitable leaders in their professions and their communities. This commitment and pride make for a dynamic workplace. Simmons University strives for inclusive excellence in all aspects of an individual's community experience: One of our strategic goals is to become the most inclusive campus in New England. As a University committed to diversity, equity, and inclusion, we seek candidates with a demonstrated ability to work with and empower students across a broad range of social and personal identities and perspectives. We particularly encourage applications from members of underrepresented groups.
MCS houses majors in Mathematics, Statistics, Computer Science, and Data Science, as well as several other interdisciplinary majors. Approximately three quarters of all undergraduates at Simmons take at least one course in statistics, all of which are taught by MCS. The Division is housed within the College of Organizational, Computational, and Information Sciences, which also includes the School of Business and the School of Library and Information Science. This unique organizational structure facilitates the exploration of interdisciplinary programs and scholarship that move beyond traditional disciplinary approaches to address broad questions of how data, information, and knowledge affect the human endeavor and how people work and live together in the 21st century. One key priority is to clearly articulate how science can be used for good and to promote equity. This includes the explicit integration of diverse perspectives, problem sets, and experiments reflecting today's most challenging social and scientific problems. The College envisions a professoriate with the boldness to implement a University-wide equity agenda.
Responsibilities: Responsibilities include teaching a wide range of courses in statistics and data science, advising Division majors, and supporting the growing Statistics and Data Science programs at the university. We seek an innovative educator with demonstrated excellence in undergraduate teaching and mentoring, creative curriculum development, and a commitment to interdisciplinary collaboration inside and outside the University.
Requirements: We are open to individuals interested in, and qualified for, any one of the following positions. Please note that we are filling only one position at this time. Candidates must have earned a graduate degree in Statistics, Data Science, or a related field (or expect to earn such a degree by Fall 2021).
- Tenure-Track Assistant Professor: Candidates will have a Ph.D. in a relevant field by the time the appointment begins. Assistant Professor candidates are expected to have an active research agenda, and carry a teaching load of three courses each semester. Interest in leading undergraduate student/faculty research is highly desirable. Candidates for this rank will have demonstrated teaching experience or strong potential to excel at teaching, as well as demonstrated capability to generate high-quality, high-impact scholarship.
- Non-Tenure Track (NTT) Assistant Professor: Candidates will have a Ph.D. in a relevant field by the time the appointment begins. Assistant Professor NTT appointments do not carry research expectations, but an interest in engaging in pedagogical research is a plus. Assistant Professors NTT carry a teaching load of seven courses a year (or the equivalent). Candidates will have strong teaching experience, with demonstrated excellence and innovation in teaching.
- Professor of Practice: Candidates will have an M.S. in a relevant field, and substantial industry experience as a statistics/data science professional (five years or more). Appointments may be made at the Assistant, Associate, or full Professor of Practice rank, depending on experience. Professors of Practice carry a teaching load of seven courses a year (or the equivalent), and must maintain currency in the field through consulting or active engagement with the professional community. Candidates will have demonstrated teaching experience or strong potential to excel at teaching.
Professional Development and Support: As One Simmons, we are committed to the development of our faculty and to providing opportunities for faculty to engage in College and University leadership efforts. These opportunities may include participating in inter-faculty grant/research development, institutional leadership development opportunities, and mentoring/coaching opportunities.
Salary and Benefits: Salary is commensurate with experience and qualifications. Simmons University participates in TIAA/CREF and offers excellent benefits packages, including tuition reimbursement for dependents at Simmons and other institutions.
Required Application Materials: To apply, please submit a cover letter (including the title of the position for which you are applying), a CV, and a teaching statement. Applicants for a tenure-track Assistant Professor rank should also include a research statement. Additional supporting materials that document excellence in teaching, such as course evaluations and syllabi of courses taught, are optional and welcomed.
Application review will begin on October 15, 2020, and will continue until the position is filled. Contact information for three professional references will be requested of selected applicants following initial review of applications.
For further information, please contact the Search Committee Chair, Anthony Scotina, at firstname.lastname@example.org.
Instructions to Applicants: Please upload all applicable application materials (e.g. resume/cv, cover letter, writing sample, teaching philosophy, etc.) in the "Resume/CV" box on page 2 ("My Experience") of this application. Documents can be uploaded individually or as a combined document (e.g. PDF).
Simmons University is committed to inclusive excellence in all aspects of an individual's community experience. As a university committed to diversity, equity, and inclusion, Simmons encourages applications from all under-represented groups. Simmons is committed to creating, developing, promoting, and enhancing inclusive hiring practices-at all levels, for all positions-ensuring diverse talent pools and the delivery of a consistent positive candidate experience. Simmons is an equal opportunity employer and is committed to continuing to develop a more diverse faculty, staff, student body, and curriculum.
To apply, visit https://simmons.wd1.myworkdayjobs.com/en-US/Simmons-Careers/job/Main-Campus---Boston-MA/Faculty-position-in-Statistics-or-Data-Science_R06954
Located in Boston’s historic Fenway area, Simmons College is a small, private, non-sectarian College which has educated students for enriching careers and purposeful lives since 1899. Working at Simmons means joining a collaborative, diverse and mission-driven community of educators and professionals.
We prepare students to be leaders for themselves, their communities and the world. Our faculty and staff members lead by example - sharing a commitment to excellence and putting the students first.