Biostatistician/Advanced Quantitative Specialist
Posted: 10/26/2018 (Employment)
About the Center for Policing Equity
The Center for Policing Equity is a research and action think tank that, through evidence-based approaches to social justice, conducts quantitative research to create levers for social, cultural, and policy change.
The Center for Policing Equity is looking for a skilled social and/or behavioral quantitative scientist and experienced teacher/manager with a passion for research on race and policing.
The position will focus primarily on managing the work of creating reports for police departments that have contributed their data to the National Justice Database. The National Justice Database is the first and largest standardized database on police behavior in the country (e.g., vehicle stops, pedestrian stops, use of force, complaints against officers, etc.). The Biostatistican / Advanced Quantitative Specialist will supervise a team to generate these reports which ultimately aim to help police departments reduce bias and increase procedural justice and legitimacy.
- Train and supervise research team members in completing reports for police departments, which includes training on which analyses should be used, evolving quality assurance protocols, and providing mentorship
- Conduct advanced quantitative analyses of policing data to be included in reports for police departments
- Help to develop, maintain, and maximize the utility of the National Justice Database
· Provide feedback to engineers to further develop custom automated data cleaning and analysis software for the National Justice Database
· Contribute to production of academic research articles and public-facing reports that explore the intersection of law enforcement and racial/gender equity
- PhD or MS in a relevant field (e.g., Economics, Epidemiology, Data Science, Psychology, Criminology, Demography, Political Science, Sociology), with an interest in social science and law regarding policing and social justice
- Superior research skills; strong quantitative and analytic skills
- Publication record includes peer-reviewed research articles
Other Relevant Qualifications (desired, but not required)
- Experienced in network analysis/exponential-family random graph models (ERGMs), particularly for multilevel networks; Bayesian data augmentation
- Experience with geo-coded data and multi-level modeling (using R, Stata, SAS, SPSS, and/or Python)
Location: John Jay College of Criminal Justice, Center for Policing Equity in New York