Part-Time Quantitative Researcher

Position Summary

The Education and Employment Research Center at the School of Management and Labor Relations at Rutgers University seeks a part-time quantitative researcher for work on higher education and workforce development projects to help design and execute quantitative research and evaluation plans.

This is a grant-funded position. Hours will vary quarterly, from 10 to 30+ hours per week, depending on project funding and need. The duration of the position will be determined by project funding and need.

• Master or doctoral degree in a social science discipline.
• Minimum of three years of academic or professional research experience.
• Experience working with data in Microsoft Excel, SPSS, SAS, and/or STATA.
• Experience with Qualtrics survey development and administration.
• Experience conducting education and/or workforce research.
• Experience with state administrative records data sets on students, federal survey systems, and national datasets.

• Proficiency in Microsoft Excel, SPSS, SAS, and/or STATA, and Qualtrics.
• Strong verbal and written communication skills.
• Ability to work well with others and independently under minimal supervision.
• Strong quantitative ability, including knowledge of quasi-experimental methods.

• Medical, prescription drug, and dental coverage.
• Paid vacation, holidays, and various leave programs.
• Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options.
• Employee and dependent educational benefits (when applicable).
• Life insurance coverage.
• Employee discount programs.

It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law.

As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: (Use the "Apply for this Job" box below).-statement