Assistant or Associate Teaching Professor in Data Science and Social Justice

University of Washington Information School
Washington, United States
Competitive Salary
Sep 16, 2020
Employment Level
Non-Tenured Track
Employment Type
Full Time


The Information School (iSchool) of the University of Washington seeks an Assistant or Associate Teaching Professor (non tenure-track) in the field of Data Science and Social Justice. We encourage applicants from all disciplines including computing, information, statistics, social and behavioral sciences, and race and social justice. As a highly multidisciplinary academic unit, the iSchool welcomes teaching faculty from all relevant backgrounds. We are particularly interested in applicants whose work in Data Science has relevance to pressing social issues related to diversity, equity, and inclusion - especially furthering racial justice, reconciliation, and repair.

Competitive applicants will have evidence of excellent, inclusive, and engaging teaching. The successful applicant will teach technical courses in areas such as databases and data modeling, data and business analytics, data/information visualization, or machine learning. Through their teaching, they will demonstrate to students the ways in which data science can be used to exclude, marginalize, privilege, and even harm people, groups, and societies (e.g. misleading data visualizations, selective data collection practices, exclusionary data schemas, biased training data or algorithms, amplification of exclusionary processes, or surveillance). The candidate will also teach the value of data science methods and ways that these challenges can be addressed, with an appreciation of the larger ramifications surrounding matters of social justice.

The UW Information School brings together faculty and students in Data Science and many other disciplines and offers programs at the undergraduate, master’s, and Ph.D. degree levels. Teaching professors are an integral part of the faculty of the iSchool. We provide mentorship, a career path, and opportunities for leadership. This is a full-time appointment at the rank of Assistant or Associate Teaching Professor. This position includes faculty voting rights but is not tenure eligible. The University of Washington is on the quarter system (autumn, winter, spring) and teaching professors typically teach two courses per quarter (6 courses over 9 months) with summers off. Opportunities for summer teaching are often available. University of Washington teaching professors engage in teaching, mentorship, and service. Scholarship is supported and encouraged, including innovations in teaching, leadership in teaching communities of practice, and teaching mentorship. The Information School faculty are committed to preparing professionals who work in an increasingly diverse and global society by promoting equity and justice for all individuals, actively working to eliminate barriers and obstacles created by institutional discrimination.

The University of Washington is an institution that encourages inclusive research and community outreach, situated between the Puget Sound and Lake Washington, in the city of Seattle, on the traditional territories of the Coast Salish people. Seattle is a rapidly growing, dynamic, and diverse metropolitan area with a leading technology sector and vibrant civic sector.

The UW Information School is dedicated to hiring faculty that will enhance diversity and equal opportunity in higher education through their research (as applicable), teaching, and service. As information systems and institutions serve increasingly diverse and global constituencies, it is vital to understand the ways in which differences in gender, class, race, ethnicity, religious affiliation, national and cultural boundaries, national origin, worldview, intellectual origin, and other identities can both divide us and offer us better ways of thinking and working. The Information School faculty are committed to preparing professionals who work in an increasingly diverse and global society by promoting equity and justice for all individuals, actively working to eliminate barriers and obstacles created by institutional discrimination.

The appointment is at the rank of Assistant Teaching Professor or Associate Teaching Professor commensurate with qualifications and experience. The anticipated start date is September 2021.


Applicants must minimally have a bachelor’s degree (or foreign equivalent). A master’s degree or Ph.D. (or foreign equivalent) and/or prior teaching experience will be considered as positive factors in selection. Applicants must have 3 years of experience in a technical role in industry, or experience teaching at least one course as either the lead or assistant instructor.


Please apply here: 

Review of applications will begin immediately and continue until the position is filled.  Preference will be given to candidates who apply by November 1, 2020. Other applications will be reviewed beginning on the 1st of each month until finalists are chosen. Select candidates will be invited for campus visits.

The initial application package must include a resume or CV, a cover letter, a diversity statement (see below), and names and contact information for three references, who may be contacted for letters of recommendation. We encourage you to choose references from anyone who can speak to your expertise, your ability to teach and mentor, or your general ability to collaborate and work with diverse communities. Short-listed candidates will later be asked to do a live teaching demonstration and submit a teaching statement. Details on these will be provided at the appropriate time.

Please note: The cover letter is important. Drawing on your background, please tell us about your technical expertise, examples of how you might incorporate issues of social justice into your teaching of data science, and why you’d like to do this teaching at University of Washington Information School.


Diversity, equity, and inclusion are core values of The Information School. The Diversity Statement provides an opportunity for applicants to communicate how their approach to research, teaching, and/or service examines, identifies, and contributes to positive social change, especially along the lines of gender, class, race, ethnicity, ability, religious affiliation, national and cultural boundaries, and other identities. For your reference please consult:

Please describe your experiences with diversity, including in your past roles, past teaching and service, and your potential to enhance diversity as a value in The Information School going forward. In addition, please discuss your potential to mentor and educate students who will serve diverse populations.


University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information, gender identity or expression, age, disability, or protected veteran status.


The University of Washington is committed to building diversity among its faculty, librarian, staff, and student communities, and articulates that commitment in the UW Diversity Blueprint ( Additionally, the University’s Faculty Code recognizes faculty efforts in research, teaching and/or service that address diversity and equal opportunity as important contributions to a faculty member’s academic profile and responsibilities (

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