About the Program
The Center’s Data Analytics and Applied Research Team is seeking a Senior Research and Data Associate to oversee and supervise research projects and data analysis for alternative to incarceration and court diversion programs in and around New York City. This position offers an opportunity to coordinate and conduct on-the-ground research on several innovative court projects and, more generally, to manage program outcomes and policy implications through data tracking and analysis. The successful candidate must bring a real interest in this work and have a strong preexisting skillset in using SPSS or other statistical software, along with knowledge of quantitative and qualitative research methodology. For more information about the Center’s operating programs, please visit www.courtinnovation.org/programs.
About the Position
Responsibilities include but are not limited to:
- Download, code, clean, and analyze data from large databases;
- Produce statistical reports and analysis (e.g., regarding program volume, service linkages, or compliance rates);
- Serve as principal investigator (PI) on research projects;
- Assist senior management on large-scale projects;
- Oversee fieldwork (including training and oversight of research assistants);
- Oversee IRB submissions;
- Conduct and/or oversee proficient analytic and writing work in all stages of the research process;
- Assist senior management on designing and authoring research and funding proposals;
- Supervise Research and Data Associates on staff;
- Work with project directors and program staff to set priorities for each program on research and data collection;
- Coordinate and work with program staff to write funding proposals, and plan and implement new programs;
- Coordinate with development and fiscal staff on contracts and data deliverables;
- Oversee production and release of regular periodic statistical reports for a variety of purposes;
- Oversee creation of and amendments to data tracking and reporting tools with operations staff and technology;
- Identify and critically assess project progress against benchmarks; and
- Disseminate findings and policy implications for policymaker and practitioner audiences, as well as researchers.
The ideal candidate will have a Master’s Degree or a Bachelor’s Degree plus 3-5 years’ relevant research and data experience, preferably as a criminal justice researcher. Candidate must be a skilled communicator (written and oral) and able to interact effectively and maintain relationships with members of the judiciary, court staff, community-based organizations, criminal justice personnel, and members of the public. Experience using statistical software syntax is required (SPSS, SAS, Stata, R; SPSS skills strongly preferred). Experience using advanced quantitative and qualitative methods is required. Knowledge of and strong interest in the justice system is a must.
Location: Midtown, NY with time spent at programs in and around New York City
How to Apply
If you are unable to access email, you may submit materials by mail or fax to:
Note: The Fund for the City of New York/Center for Court Innovation is an equal opportunity employer. The Center does not discriminate on the basis of race, color, religion, gender identity, gender expression, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. We strongly encourage and seek applications from women, people of color, members of the lesbian, gay, bisexual, and transgender communities as well as individuals with prior contact with the criminal justice system.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification document form upon hire. Only applicants under consideration will be contacted. No phone calls please.
Learn more about us at www.courtinnovation.org.
The Fund for the City of New York/Center for Court Innovation is an equal opportunity employer.