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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 to be directly involved in the data processing activities of the study. MTF is a large ongoing national study of American youth, and is one of the largest studies within the Survey Research Center (SRC) 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: http://www.monitoringthefuture.org/

Responsibilities*

Data Management

Serve as a data manager for a longitudinal study of American youth and adults with a complex cohort-sequential design.  Update project datasets with new data collected annually, as well as additional, occasional off-cycle data collections.  Perform data cleaning, quality control, merging, documentation, and new variable creation tasks using advanced programming and statistically-based methods involving SAS regular and macro language.  Implement standardized data management practices.  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.

 

Quality Control

Develop, maintain, and execute necessary quality control procedures. Provide quality control support in areas of tablet- and web-based survey programming

 

Data Analysis

Fulfill basic analysis requests for the project’s principal investigators and external organizations as needed.

 

Resource Sharing

Serve as a resource person for project staff in the area of current longitudinal data management protocol.  Other duties as assigned.

      

Required Qualifications*

  • Bachelor's degree in social science or other relevant field, along with 4-5 years of experience using SAS for data management and manipulation. 
  • Experience with databases, such as Microsoft Access. 
  • Motivated and very attentive to detail. 
  • Experience working with longitudinal data files. 
  • Ability to quickly master new processes, procedures, and computer programs. 
  • Ability to work successfully in both a team environment and independently. 
  • Excellent communication skills.

Desired Qualifications*

  • Experience with SAS, including macro coding, arrays, do-loops, and automated report production.
  • Ability to understand highly complex data and information about the data, including its complex sample design. 
  • Basic knowledge of statistics. 
  • Good time management skills and ability to work on more than one task at a time.  

Underfill Statement

Position may be filled at either the Intermediate or Associate level based upon the overall qualifications of the applicants.  For the Associate level, required qualifications are a Bachelor's degree in social science or other relevant field, along with 1-3 years of experience using SAS for data management and manipulation (or equivalent combination of education and experience).  Salary range at the Associate Level is based on qualifications of candidate.

Additional Information

Position may be filled at either the Intermediate or Associate level based upon the overall qualifications of the applicants.  For the Associate level, required qualifications are a Bachelor's degree in social science or other relevant field, along with 1-3 years of experience using SAS for data management and manipulation (or equivalent combination of education and experience).  Salary range at the Associate Level is based on qualifications of candidate.

U-M EEO/AA Statement

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