Job Board

Assessment Fellow

Application Procedure:

Application deadline is rolling but for priority consideration, please submit materials by Wednesday, April 21, 2021. For more information and to apply, please see the Brown Career site (REQ169800).

Job Duties

The Assessment Fellow will support all members of Brown’s teaching and learning communities by contributing to Sheridan Center programs, services, and publications, with a particular focus on assessment and evaluation practices that enhance teaching, learning, and curricula. The Fellow will work in close collaboration with the Senior Associate Director for Assessment and Interdisciplinary Teaching Communities to:

  • Support assessment and evaluation-related initiatives, such as major university initiatives, assessment of digital and experiential learning, program reviews, and Sheridan Center programs;
  • Support the implementation, facilitation, and evaluation of programs for instructional improvement and student success, such as certificate programs, orientations, institutes, and seminars;
  • Consult with administrators, staff, and faculty about evidence-based teaching and learning, course and curricular improvement; evaluation plans for educational grants, assessment of student learning outcomes and experiences, and the Scholarship of Teaching and Learning under direction of the Senior Associate Director;
  • Contribute to online and print resources to build capacity around evidence-based teaching and learning responsive to a diverse faculty and student body.

This is a two-year term position, with potential for renewal for a third year.

Job Qualifications

  • Master’s degree with strong methodological training in research, statistics, and qualitative data collection and analysis.
  • Required: Demonstrated facility in both quantitative and qualitative research methods.
  • Required: Experience managing and analyzing data sets with statistical software.
  • Required: Experience conducting an independent research project from conception to dissemination (e.g., a dissertation project or a program evaluation).
  • Required: At least two terms of postsecondary teaching experience.
  • Preferred: Experience in educational development (e.g., at a center for teaching and learning or student success center) in a postsecondary setting, including work in assessment, evaluation, educational research or educational measurement.
  • Strong commitment to collaboration and collegial interactions.
  • Facility with work in a collaborative environment, as part of a multidisciplinary team.
  • Conversant with the literature on inclusive, evidence-based teaching and learning.
  • Highly effective listening, verbal, and written communication skills.
  • Strong quantitative and qualitative research skills for data collection, analysis, and management.
  • Strong project management skills, such as detail orientation and attentiveness to timelines.
  • Ability to take directions and assume increasing independent responsibility.
  • Facility with digital learning tools.
  • Reflective, committed to ongoing professional development, and open to feedback.
  • Demonstrated ability to support a community of diverse perspectives and cultures in an inclusive environment.

Background check: criminal and education verification.

Institution Description

Brown is a leading research university distinct for its student-centered learning and deep sense of purpose. Our students, faculty and staff are driven by the idea that their work will have an impact in the world.


For detailed benefits information please see Brown University's HR Benefits website. This is an exempt staff position for purposes of reviewing certain benefit options.
Application Due Date: 2021-04-21
Job Start Date: 2021-08-15
Salary: Dependent on qualifications and experience.
City: Providence
State/Province/Region: RI
Institution: Brown University
Reports To: Senior Associate Director for Assessment and Interdisciplinary Teaching Communities
Staff # Reporting to Position: 0
Reports In Office: Sheridan Center for Teaching and Learning

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