MDRC is seeking a Technical Researcher with experience with public policy research, data management, and quantitative analysis to join the Center for Applied Behavioral Science. MDRC is a nonprofit, nonpartisan research organization that uses experimental studies to build knowledge in the social and education policy fields. CABS combines MDRC’s policy and evaluation expertise with insights from behavioral science. Since launching the first major project to apply a behavioral research lens to human services programs that serve low-income families in the United States, CABS has expanded and developed numerous projects in child support, child welfare, welfare-to-work, workforce development, K-12 education, and higher education. Our research includes multisite random assignment trials involving thousands of college students across the country and draws upon behavioral science, predictive modeling, and other advanced quantitative techniques. Technical Researchers within CABS have the opportunity to work as a part of multidisciplinary teams on current social policy issues in a dynamic and challenging environment, alongside leading public policy experts.
The main responsibility of a technical researcher is to collect, process, manage, and analyze a variety of quantitative datasets to help other researchers determine the effectiveness of social programs and policies.
- SAS computer programming to create outcome measures, restructure data files, perform data cleaning operations, and perform various forms of statistical and data analysis.
- Create codebooks and other data documentation.
- Contribute to and implement the project team’s data management and security plans.
- Data collection and management.
- Writing technical memos that document data processing decisions and summarize the quality of data.
- Run statistical models to identify the impacts of social programs.
- Conduct other types of analysis, including survey response analysis.
- Contribute to analytical sections of research reports.
We are looking for candidates with strong academic backgrounds and work experience in quantitative research, data management, or both. The ideal candidate will be a passionate problem solver ― someone who relishes the intricacies of writing code to clean and manage difficult data. This role is a fit for someone who loves data and thrives on engaging in the intellectual puzzle of solving data problems with code.
- BA/BS or master’s degree in statistics, economics, public policy, sociology, psychology, computer programming, mathematics, or a related field preferred.
- A good understanding of quantitative research methods and experience applying quantitative research methods.
- Active involvement in various stages of research projects, from proposals to project design to analysis and reporting.
- Strong data management experience is highly desired.
- Experience with Microsoft Office (especially Word and Excel).
- Strong technical documentation skills.
- Excellent attention to detail.
- Excellent communication and interpersonal skills.
- Experience contributing to analytical sections of research reports.
The Technical Researcher position is based in MDRC’s New York office. Some on-the-job training is provided. We offer excellent fringe benefits including generous paid vacation and personal days, comprehensive employer-subsidized health insurance, and flexible scheduling, among others.
Please attach a programming sample to your application.
Salary is commensurate with experience.
Only candidates selected for further consideration will be contacted.
MDRC is an Equal Opportunity/Affirmative Action employer. MDRC does not discriminate, and all qualified applications will receive consideration without regard to race; color; national origin; religion; creed; sex or gender (including sex stereotyping and gender identity or expression); sexual orientation; citizenship status; pregnancy; disability; age; military or veteran status; marital or partnership status; genetic information, genetic predisposition, or carrier status; prior unemployment status; consumer credit history; status as a victim of domestic violence, sex offenses, or stalking; or any other category protected by applicable federal, state, or local laws. Legal work authorization is required.