If you are interested in making a difference in the lives of low-income people, being part of a diverse and multidisciplinary staff, turning research findings into better public policies, and having hands-on involvement in building better programs, then consider an opportunity with MDRC to be involved in the cutting edge of social research methodology. MDRC is a nonprofit, nonpartisan education and social policy research organization that works to find solutions to some of the most difficult problems facing the nation — from reducing poverty and bolstering economic self-sufficiency to improving public education and college graduation rates. We design promising new interventions, evaluate existing programs using the highest research standards, and provide technical assistance to build better programs and deliver effective interventions at scale.
MDRC is seeking a Technical Research Assistant to join our K-12 Education policy group to work in our dynamic and challenging environment. Applicants with immediate availability or who are graduating in winter of 2020 are encouraged to apply.
The main responsibility of technical researchers is to collect, process, manage, and analyze a variety of quantitative data sets to help other researchers determine the effectiveness of social programs and policies. Technical Research Assistants will have a range of technical and nontechnical responsibilities, including but not limited to:
- Write code to process incoming source data; create variables; restructure data files; evaluate data quality and perform data-cleaning operations; sort, update, and merge data files; create outcome measures; and perform various forms of statistical and data analysis.
- Run statistical models and perform data analysis to identify the impacts of social programs.
- Write technical memos that document data processing decisions and summarize the quality of data.
- Participate in various stages of producing reports, proposals, and papers to include literature searches; preparing figures, charts, and tables; and fact-checking and documentation.
- Conduct other types of technical analysis, including survey response analysis.
- Create codebooks and other data documentation.
- Develop survey and data collection instruments.
- Assist in general project support, including scheduling meetings and note-taking.
- May be required to perform other tasks and duties reasonably related to job responsibilities.
Strong candidates will have:
- BA/BS in mathematics, statistics, economics, education, public policy, psychology, sociology, social science, computer science, or a related field is required.
- Demonstrated experience with a statistical or database programming language (e.g., SAS, R, SPSS, STATA, SQL).
- Good understanding of and experience with quantitative research methods.
- Strong technical documentation skills and data management experience.
- Demonstrated interest in social policy issues and research.
- Demonstrated ability to work in a challenging, multicultural, fast-paced, and changing work environment.
- Skilled at multitasking; able to coordinate, organize, prioritize, and execute responsibilities in the face of conflicting priorities and unexpected situations.
- Fluency in Microsoft Word and Excel
- Strong interpersonal skills.
- Excellent attention to detail.
- Effective verbal and written communication skills.
- Strong work ethic.
Due to Covid-19 office closures, the selected applicant will initially begin as a remote employee. The position will be based in MDRC’s New York City office once employees have been cleared to return. On-the-job training, including introductory and supplemental SAS classes and basic statistics training, is provided. Salary will be commensurate with experience and comprehensive benefits are offered.
If interested, please attach a writing sample and programming sample to your application. Only applicants 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.