Northeastern University
Senior Research Associate - School of Criminology and Criminal Justice
Northeastern University, Lexington, Massachusetts, United States, 02173
About the Opportunity
Northeastern University’s College of Social Sciences and Humanities (CSSH) combines experiential learning with a liberal arts education, interdisciplinary research, and community engagement. CSSH has 17 academic units, including two schools, seven departments, and eight interdisciplinary programs, and 15 research centers and institutes. Faculty connects liberal arts education with the challenges of our time, fostering ethical reasoning and critical thought.
Job Summary The Senior Research Associate will serve as a key member of the research team for a National Institute of Justice funded collaboration between Northeastern University and the Kansas City, Missouri Police Department (KCPD). The research project involves the analysis of automated vehicle locator (AVL) data and body‑worn camera (BWC) video to analyze police patrol activity and police‑citizen interactions. The Senior Research Associate will work remotely and will make quarterly trips to Kansas City Police Headquarters (funded) to participate in research team training activities.
Primary responsibilities include: collecting and maintaining project databases, assisting with the qualitative analysis of BWC video, extracting data from KCPD databases, processing data to operationalize variables of interest, coding BWC video for inter‑rater reliability, identifying additional data sources, collaborating with KCPD offices to establish data collection protocols, reviewing the work of graduate student researchers, and assisting with the presentation of research findings to academic and public audiences. Other duties include co‑authoring technical reports, scholarly journal articles, and policy briefs. This is a grant‑funded, one‑year position.
Qualifications Master’s degree in Criminology, Criminal Justice, or a closely‑related social science discipline is required; PhD strongly preferred or a Master’s degree that demonstrates exemplary prior relevant experience. Prior experience conducting social science research in police department settings and rigorous mixed‑methods research projects is required. Strong database management skills are required. Prior experience with observational analysis of video data is strongly preferred.
Applicants Should Submit
Resume/CV
Cover Letter
Position Type Research
Additional Information Northeastern University considers candidate experience, education, and skills when extending an offer. Northeastern offers a comprehensive benefits package for benefit‑eligible employees, including medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement, and commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type 107S
Expected Hiring Range $52,820.00 – $74,607.50
With the pay range shown above, the starting salary will depend on several factors, which may include education, experience, location, knowledge, expertise, and skills, as well as a pay comparison to similarly‑situated employees in the role. Salary ranges are reviewed regularly and are subject to change.
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Job Summary The Senior Research Associate will serve as a key member of the research team for a National Institute of Justice funded collaboration between Northeastern University and the Kansas City, Missouri Police Department (KCPD). The research project involves the analysis of automated vehicle locator (AVL) data and body‑worn camera (BWC) video to analyze police patrol activity and police‑citizen interactions. The Senior Research Associate will work remotely and will make quarterly trips to Kansas City Police Headquarters (funded) to participate in research team training activities.
Primary responsibilities include: collecting and maintaining project databases, assisting with the qualitative analysis of BWC video, extracting data from KCPD databases, processing data to operationalize variables of interest, coding BWC video for inter‑rater reliability, identifying additional data sources, collaborating with KCPD offices to establish data collection protocols, reviewing the work of graduate student researchers, and assisting with the presentation of research findings to academic and public audiences. Other duties include co‑authoring technical reports, scholarly journal articles, and policy briefs. This is a grant‑funded, one‑year position.
Qualifications Master’s degree in Criminology, Criminal Justice, or a closely‑related social science discipline is required; PhD strongly preferred or a Master’s degree that demonstrates exemplary prior relevant experience. Prior experience conducting social science research in police department settings and rigorous mixed‑methods research projects is required. Strong database management skills are required. Prior experience with observational analysis of video data is strongly preferred.
Applicants Should Submit
Resume/CV
Cover Letter
Position Type Research
Additional Information Northeastern University considers candidate experience, education, and skills when extending an offer. Northeastern offers a comprehensive benefits package for benefit‑eligible employees, including medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement, and commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type 107S
Expected Hiring Range $52,820.00 – $74,607.50
With the pay range shown above, the starting salary will depend on several factors, which may include education, experience, location, knowledge, expertise, and skills, as well as a pay comparison to similarly‑situated employees in the role. Salary ranges are reviewed regularly and are subject to change.
#J-18808-Ljbffr