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How to Apply

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, particularly in regards to the type(s) of analytic experience you have had.

Job Summary

The Monitoring the Future (MTF) project is searching for a highly organized and detail-oriented Research Area Specialist Senior/Intermediate. You would have responsibility for broad data analytic activities of the program, and providing data analytic support to several Investigators and co-Investigators on MTF, some of whom are currently not on-site. You would report to one of the Principal Investigators (Dr. Megan Patrick), and may have some supervisory responsibilities in the future. Primary analytic responsibilities would involve analysis of longitudinal data collected from participants from ages 18 to 60, using techniques including multilevel models, time-varying effect modeling, and latent class analysis. Attrition weights and missing data strategies (including multiple imputation and FIML) are routinely used.

MTF is a large ongoing national study of youth and adults in the U.S., 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: http://www.monitoringthefuture.org/

 

Responsibilities*

  • Perform a range of statistical analyses, from basic statistics to complex multi-level models. Analyses include regression, latent growth curve modeling, time-varying effect modeling, and latent class analysis. Attrition weights and missing data techniques including FIML and multiple imputation will also be needed.
  • Assist program primary research staff with evaluation of research findings and reporting of results in preparation of research papers and manuscripts for publication and presentation at conferences and workshops.
  • Advise program primary research staff on appropriate statistical analysis procedures.
  • Prepare and document analytic files including merging extracts from multiple data sources; conducting variable transformation, data reduction, and data imputation as necessary; and developing documentation for analytic data files, including codebooks and other electronic documentation.  
  • Assist program primary research staff in other areas as needed.

 

Required Qualifications*

  • A Master’s level degree is required, preferably in a relevant field such as biostatistics, statistics, applied statistics, quantitative psychology, epidemiology, public health, etc.
  • More than five years of related experience in statistical data analysis of longitudinal data, including regression (linear, logistic, multinomial).  
  • High proficiency in at least one of the following: SAS, Mplus, R, and/or Stata. Expertise in using statistical software for data management, manipulation, and analysis. SAS is the primary software for data management used by the study team. 
  • Ability to work successfully in a team.  
  • Strong communication skills.   
  • Detail oriented.

 

Desired Qualifications*

  • Knowledge of propensity score analysis, structural equation models, multilevel models, time-varying effect models, latent class analysis, multiple imputation, analysis using weights, and/or other advanced statistical techniques is desirable. 
  • Supervisory experience.
  • Experience co-authoring scientific research publications.
  • High level of expertise using SAS and Mplus.

 

Work Locations

We are currently working remotely due to the ongoing pandemic. When face-to-face work at the University of Michigan resumes, this position will require being on-site at the University of Michigan offices in Ann Arbor. If relocation is required, we will allow for reasonable time and flexibility to make necessary arrangements. 

Underfill Statement

Based on candidate qualifications, the position may be underfilled at the Intermediate level. The Intermediate level requires a master’s degree in a field of science directly related to the position as well as at least four years of related experience. Salary would be commensurate with the Intermediate level position. 

 

Additional Information

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. 

 

Benefits at the University of Michigan

In addition to a career filled with purpose and opportunity, The University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and any eligible family members and plan for a secure future. Benefits include:

  • Generous time off

  • A retirement plan that provides two-for-one matching contributions with immediate vesting upon meeting eligibility requirements.

  • Many choices for comprehensive health insurance

  • Life insurance

  • Long-term disability coverage

  • Flexible spending accounts for healthcare and dependent care expenses

U-M EEO/AA Statement

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