Research Associate

Job Description:

About Brown:

Brown University 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.

Brown University offers a flexible work/life balance; summer hours, winter break and a comprehensive Benefits package including time off, annual paid holidays; benefits offerings including health, dental, vision, tuition assistance, retirement, wellness, employee discounts and more. To learn about Brown University’s benefits, visit the University Human Resources web page for further information.

About the Annenberg Institute:

The Annenberg Institute is Brown University’s education research institute. Our vibrant community includes Brown University faculty, postdoctoral research associates, staff, students, and multiple partners in Rhode Island and across the US. We partner with education leaders and global scholars to connect people, evidence, and practices to build toward a more effective and equitable education system that enables all students to thrive academically and in other ways. Our knowledge initiatives catalyze conversations across the research landscape, synthesizing what we know and mobilizing practitioners, policymakers, and researchers toward collaborative impact.

About the Opportunity:

The Research Associate will work directly with the Principal Investigator (PI), Dr. Lindsay Page and the research team to advance a range of ongoing research projects related to chatbot interventions for student success. This position requires a strong independent work ethic, interest in education, ability to collaborate with the research team and external partners, and quantitative research skills.

Qualifications:

Education and Experience

• Bachelor’s Degree in relevant field and 1-2 years of research experience or equivalent combination of education and experience, with experience working in student affairs and/or working with administrative or federal higher education datasets. Master’s degree preferred.
• A strong quantitative background.
• Experience using Stata and/or R to analyze data.
• Strong interest in education research.

Competencies:

• Experience with data management and statistical analysis.
• merging, cleaning, manipulating of data
• documentation for reproducible analysis
• data visualization and table design/construction
• Excellent oral and written communication skills.
• Ability to manage multiple tasks, set priorities, and meet deadlines.
• Excellent judgement and ability to work independently with minimal supervision.
• Ability to interact effectively with people from diverse backgrounds.
• Skills with Google suite apps .
• Ability to work independently or as a member of a team.

Additional Information:

This position is 100% grant funded and is for one year with the possibility of renewal, based on satisfactory work performance and dependent upon funding

Background and education check required.

Please reach out to [email protected] with any questions.

Benefits of Working at Brown:

Please review additional information on the Benefits of Working at Brown.

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Submission Guidelines:

The designated Position Work Location for each position determines the approved modality of work. Positions are classified based on the operational and business needs of the department and may be designated as on-site, hybrid, or remote.

Employees with a designated position work location as remote must reside and perform their work in a state where Brown University is registered to do business. Brown University is a registered employer in the following states: Rhode Island, California, Colorado, Connecticut, Florida, Maryland, Massachusetts, New York, New Hampshire, New Jersey, North Carolina, Washington, D.C.

Please note that to be considered for a staff position at Brown University, you must submit a separate application for each position you wish to be considered for. Applications are reviewed only for the specific position to which they are submitted and are not automatically considered for future openings.

This position is not eligible for visa sponsorship.

Still Have Questions?

If you have any questions you may contact [email protected].

Brown is an E-Verify Employer.

EEO Statement:

Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person’s race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance. The University maintains certain affirmative action programs in compliance with applicable law.