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A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline your skills and related experience.

Job Summary

The Monitoring the Future (MTF) project is searching for a Research Area Specialist Intermediate. MTF is a large ongoing national study of American youth, and is one of the largest studies within the Survey Research Center at the Institute for Social Research (ISR). Supported by the National Institute on Drug Abuse, and ongoing continuously since 1975, MTF has collected data from well over a million respondents. The data are organized into hundreds of datasets with a variety of complex structures, including both cross-sectional and longitudinal. The products of this study are many: they include annual monographs, scholarly papers, books, presentations, press releases, web-based information, and archived data. To learn more about the MTF study, go to:


Perform data management tasks for a large, nationally representative study of American youth with a complex cohort-sequential design.  Each year the project surveys around 45,000 newly-selected students in schools throughout the U.S., as well as conducts follow-up surveys of around 7,000 students enrolled in the project’s longitudinal studies.  Serve as a data management expert as it pertains to the project's data files that are available to users to access remotely through a public access online portal, as well as restricted data available through a secure data enclave.  Subset existing data files, perform data quality control, merging, and new variable creation tasks using advanced programming involving SAS regular and macro language.  Build custom data sets for specific users as needed.  Develop, implement, and maintain standardized data management practices.  Maintain necessary data documentation for the data files produced.  Collaborate with project management and colleagues who perform similar work to share ideas and ensure consistency across the project’s data files.  Develop and implement strategies to enhance usability of data.

Provide quality control assistance to those who manage the project's data files for internal use.  Collaborate with colleagues to help detect potential issues in these data before they reach the users.  Serve as project's secondary expert on the management of these data files, and contribute as needed to their production/maintenance.

Contribute to the production of data tables and figures for the project's annual publications and website.  Develop and maintain a SAS-driven approach using SAS survey procedures to conduct relevant statistical tests, and ODS and reporting procedures to display results in PDF and HTML format.    

Responsible for providing support for users of the data files at the public access portal as well as those working through the secure data enclave.  Set up new users in the Secure Data Enclave, including the coordination of enclave access with other project staff involved in the overall administration of the SDE.  Co-teach a workshop for users of the restricted-use data, locally or at a national conference.

Contribute to the annual programming of the project's cross-sectional surveys for tablet administrations.  Help program survey changes in the necessary software each year within the required timeframe.


Required Qualifications*

A Bachelor’s degree is necessary in a relevant field such as biostatistics, statistics, applied statistics, quantitative psychology, public health, etc.

Four or more years of related experience is necessary.  

Proficient in SAS, Mplus, HLM, and/or STATA for data management and manipulation.  

Highly organized and detail oriented.  

Ability to work successfully in a team.  

Strong verbal and written communication skills.

Desired Qualifications*

Master’s Degree in quantitative social or health sciences.

Demonstrated experience in writing technical reports of methods, and preparing written and graphical summaries of results and conclusions of data analyses.

Experience in multivariate analyses of complex longitudinal survey data.

Work Schedule

Monday-Friday, days

Additional Information

Salary is dependent upon qualifications and experience of selected candidate.

The Institute for Social Research at the University of Michigan seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan, to maintain the excellence of the university, and to ground our research in varied disciplines, perspectives, and ways of knowing and learning.


U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.