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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 letter should address your specific interest in the position, and outline your experience that directly relate to it.

Job Summary

The Panel Study of Income Dynamics (PSID) is a social science study that has collected economic, social, and demographic data from U.S. adults since 1968. We are located within the Survey Research Center (SRC) at the Institute for Social Research (ISR). Our central mission is to provide the scientific research community of economists, sociologists, demographers, and other social scientists with accurate data and documentation. The PSID includes major supplemental data collections such as the Child Development Supplement (CDS) and the Transition into Adulthood Supplement (TAS). The project is looking for a Research Associate to join the Data Processing team who is experienced in the domains of data cleaning and processing, data management, creation of codebooks and user guides, and report writing. 


  • With supervision and training by a senior member of the Data Processing Team, assist with the processing of raw data obtained from the computer assisted interview application, clean the data, conduct data consistency checks, and perform family composition and economic data editing of the data.
  • Using SAS, clean, process, and transform social science panel data to prepare for editing; code open-ended answers from survey questions. Apply complex longitudinal rules to write and revise SAS programs to transform raw data into a format that can be used for editing; determine the correct number of records and merge on correct person identifiers to raw data; produce SAS output for identifying potential problems with record integrity. Application of best practices rules for data management including identifying and flagging problems with primary keys and primary-foreign key relationships.
  • Construct detailed codebook documentation that creates variable-level specifications and code frames in an Oracle Forms application; create variable names, labels, and formats; conduct data quality checks; construct new and maintain existing cross year index that categorizes survey measures and maps comparable measures across interviews; develop documentation of data files, including Web-based codebooks and other electronic documentation.
  • Code open-ended answers to survey questions. With an Oracle Forms application, construct new and maintain existing cross year index that categorizes survey measures and maps comparable measures across interviews.
  • Write and edit technical reports and training materials, including processing and editing in Word, creation of charts, graphs, and tables in Excel, and development of PowerPoint presentations.
  • Assist the project in other areas, including data analysis, writing tutorials to instruct users about how to create and analyze data, assisting with user help, and compiling information about protocols and instruments used in other similar studies. 

Required Qualifications*

  • Bachelor’s degree in a social science.
  • 4 or more years of experience with management and analysis of social science survey data including. 
  • SAS experience managing and manipulating data with an emphasis on data step programming, merging data, and using macro statements.
  • Demonstrated competency in statistics, including producing and assessing descriptive statistics, evaluating outliers, and handling missing data.
  • Proficiency in Microsoft Office Suite.
  • Experience working with complex data and information.
  • Ability to learn and apply complex sample design and study following rules in a timely manner. 
  • Experience mastering new processes, procedures, and computer programs.
  • Ability to work successfully in a team environment.  Highly organized and self-directed. Excellent interpersonal skills.  Excellent verbal and written communication skills.  Motivated and highly attentive to detail. 

Desired Qualifications*

  • Master’s degree in economics, sociology, survey methods, or related field. 
  • Advanced knowledge of statistics and survey methods. 
  • Experience in the processing and editing of longitudinal social science survey data. 
  • Experience with database design and running queries in SAS. 
  • Proficiency in SAS for data analysis and data management. 
  • Experience with management and analysis of longitudinal social science data. 
  • Five or more years of experience with SAS, with an emphasis on data step programming using macros and ods output. 
  • Intermediate knowledge of statistics is desired to produce more advanced output for PI team requests, which may include balanced panel output, weighted frequencies, means, scatterplots, and manipulating raw data collected at various levels.

Work Schedule

Monday-Friday, days.

Work Locations

We are currently working remotely due to the ongoing pandemic.  This is expected to continue at least through the end of Winter 2021 semester.   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. 

Additional Information

Salary is dependent upon qualifications and experience of selected candidate


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 your family and plan for a secure future. Benefits include:

  • Generous time off
  • A retirement plan that provides two-for-one matching contributions with immediate vesting
  • Many choices for comprehensive health insurance
  • Life insurance
  • Long-term disability coverage
  • Flexible spending accounts for healthcare and dependent care expenses

The Institute for Social Research at the University of Michigan seeks to employ 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.