Project Director, National Archive of Criminal Justice Data

Posted to IASSIST on: 2014-07-30

Employer: Inter-university Consortium for Political and Social Research (ICPSR) of the Institute for Social Research at the University of Michigan

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ICPSR is searching for a Research Scientist to direct the National Archive of Criminal Justice Data ( – a public service activity that disseminates data pertinent to crime and the criminal justice system. Responsibilities for this multiple-role position include directing an extensive data processing operation, developing strategies to make the data accessible and easy to use, and supporting researchers and data producers to facilitate data archiving and re-use. The primary appointment will be as a Research Scientist at ICPSR, part of the Institute for Social Research at the University of Michigan, Ann Arbor. A faculty appointment at the University of Michigan Ann Arbor or Dearborn campus is also possible.

Advanced degree (PhD or accredited MA/MS) in a field of study relevant to the development, management, archiving and analysis of interdisciplinary and social science data. Desired is a concentration in Information Sciences, a Certificate (e.g., Digital Curation Education Program) or other evidence of advanced education and training in the areas of digital information science. Minimum of five years professional experience in data-related activities with at least two years of experience in the management of research projects in an appropriate area. Experience writing grant proposals is required along with experience in developing, planning, and managing project budgets. Experience providing digital stewardship for statistical data in a research-intensive, multi-disciplinary and academic environment. Knowledge of procedures for ensuring the privacy and protection of research subjects. Knowledge of Department of Justice rules and regulations regarding confidentiality pertaining to human subjects information is desirable. Familiarity with statistical software for the analysis of data (e.g. SAS, Stata, SPSS, R). Demonstrated scholarly productivity is desirable, along with the proven ability to work both independently and collaboratively. Excellent communication skills, both oral and written, in the English language.

Archived on: 2014-07-31