Support Statistician, Belonging Project

Job Type

Full Time




Minimum: $55
Maximum: $65




Palo Alto
United States


The College Transition Collaborative (CTC), aims to create higher education learning environments that foster equitable student outcomes by bridging research and practice. CTC partners with colleges and universities to develop scientifically proven approaches that place the student experience at the center of institutional programs and practices. Our work helps institutions better understand how their students experience moments of transition or difficulty, and how psychologically-informed practices can convey to all students they are valued, respected, and can excel. CTC’s work has helped support greater engagement, retention, and completion for students at diverse colleges and universities across the United States, particularly for traditionally marginalized groups such as students of color, first-generation students, and low-income students. The CTC is a remote team with colleagues around the country in different time zones, and we believe that team members should be free to work flexible hours as long as the work is getting done. To learn more, please visit our website at

We are seeking a Support Statistician who will work remotely to conduct data analysis for an ongoing large-scale randomized controlled experiment with college students and administrators. The Statistician will conduct analyses primarily for scientific audiences. This individual will be an essential project member who will be expected to learn and work independently yet collaborate effectively with team members and project partners. Previous experience in conducting analyses for empirical research projects is necessary and experience conducting analyses for projects with a focus on the social sciences in an academic environment is a plus.

The Support Statistician will be working closely with CTC researchers engaged in the Social Belonging Project. In this multi-site field trial, researchers are working with administrators and students at 23 institutions to customize and test an intervention designed to cultivate a sense of social belonging among students in order to address the disparity in the rate at which students from under-represented backgrounds drop out of college and earn worse grades than their peers with similar high school credentials. Research topics that the Support Statistician and CTC researchers will be exploring utilizing data collected through the Social Belonging Project include student health and well-being, students with disabilities, LGBTQ students, and student athletes, and a wide range of other exciting topics.


  • Collaborate with researchers and staff to design and conduct analyses to address research questions, modifying approach as necessary given nuances of data that are available (e.g., limitations in institution-provided data, etc.), and pre-registering analysis plans when appropriate.
  • Use analytic techniques including but are not limited to: multilevel models, OLS models, structural equation models, clustering techniques, and specification curves/permutation tests
  • Serve as a resource for advanced analysis inquiries.
  • Develop processes and write/modify reproducible scripts to automate report generation.
  • Produce tables and charts to illustrate data patterns
  • Assist with writing results sections for scientific publications
  • Work under consultative or self-initiated direction
  • Work on multiple projects concurrently, supporting different teams of researchers


  • Bachelor’s degree or a combination of education and relevant experience
  • Experience with quantitative analyses


  • Substantial experience in at least one statistical or general programming language allowing for reproducible, automated analysis and reporting; e.g., R, Python, Stata, SAS
  • Substantial understanding of advanced statistical methods used in social science research to assess the impact of multi-site experiments controlling for relevant covariates, including
  • Conducting exploratory analyses to determine optimal modeling approaches
  • Conducting complex analyses such as multilevel modeling
  • Understanding and addressing problems such as model fit issues and/or problematic statistics that may indicate errors in the underlying data
  • Advising team members on best practices around data analysis, and reporting
  • Comfort with early-stage and academic work environments
  • Strong analytical skills
  • Strong communication skills, both verbal and written and ability to collaborate effectively
  • Ability to prioritize workload across multiple projects, create realistic timelines for analytic workstreams, and communicate clear and regular updates to team


  • A personal passion for learning and a drive to advance equality of opportunity in education
  • Advanced degree (M.S. or higher) in a quantitative science or advanced degree in a social or health science with substantial statistics training,or equivalent experience

We welcome and encourage candidates from diverse backgrounds who can bring unique perspectives to the table.

Indiana University is an equal employment and Affirmative Action Employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status. Indiana University does not discriminate on the basis of sex in its educational programs and activities, including employment and admission, as required by Title IX. Questions or complaints regarding Title IX may be referred to the U.S. Department of Education Office for Civil Rights or the university Title IX Coordinator. See Indiana University’s Notice of Non-Discrimination here which includes contact information.

Location: Flexible

Schedule: Full-time, 12-18-month contract

Salary Range: 55-65K


Why work for CTC? Some perks include:

  • Contributing to rigorous, mission-oriented work that strives to reduce educational inequality in the United States and Canada
  • Being involved in facilitating cutting-edge research with some of the most prominent social scientists and higher education change makers in the field
  • Helping build an early-stage organization with room for professional growth
  • Joining a close-knit, friendly team that highly values diversity and inclusion
  • Great benefits through Indiana University
  • Flexible work location and working hours. We are a remote team with colleagues around the country in different time zones, and we believe that team members should be free to work flexible hours as long as the work is getting done.

Professional Level

None specified

Minimum Education Required

No requirement

How To Apply

If you would like to apply for this position, please complete the form linked here.

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