The Population Studies Center (PSC) in the Institute for Social Research (ISR) at the University of Michigan invites applications for a full-time position of Research Area Specialist (Intermediate). The Research Area Specialist will collaborate with investigators to create the Longitudinal, Intergenerational Family Electronic Microdatabase (LIFE-M). Funded by the National Science Foundation, LIFE-M will combine information for four generations of U.S. families linked together using vital records and census information. LIFE-M will be a pioneering new data linking methods and launching new efforts to document changes in intergenerational mobility and health over the 20th century. In addition, the data are uniquely suited for the study of long-run effects of early childhood interventions and changes in public policies.
The Research Area Specialist will design pipelines for data cleaning, standardization, and linking, implement new data linking methods in collaboration with researchers, and expand data linkages to new data sources. The Research Area Specialist will manage staff programmers and research assistants supporting these activities and be responsible for documenting and archiving the data linking process to meet current standards of reproducibility and transparency. S/he will work independently and as part of a team, and there will also be opportunities for an interested candidate to participate in econometric and statistical analysis of the linked data.
PSC is a unique, world-renowned social science research center that conducts investigator-initiated research on theoretical and applied problems of social and scientific importance (please see our website:www.psc.isr.umich.edu/)
Requirements for the position are a Bachelor’s or Master’s degree in a relevant social science discipline, preferably economics, statistics, computational social sciences or a related field, familiarity with relevant software, databases, and programming tools. Software includes R and Python, with Stata experience strongly preferred. The candidate should be familiar with standard statistical and machine-learning approaches to classification, including logistic regression, random forests, and support vector machines. Candidate must be dependable, detailed-oriented with excellent interpersonal skills, able to work well with others, and have strong oral and written communication skills. Attention to detail, ability to meet deadlines and display a service-oriented attitude required. Experience in research and personnel management is desired. Previous experience working with large-scale data is strongly preferred.
A cover letter is required for consideration of this position and should be attached to the first page of your resume. The cover letter should address your specific interest in the position and outline your skills and experience that directly relate to this position. Please include the names of three references. Salary is competitive based on previous experience and qualifications.
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.
Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled any time after the minimum posting period has ended.
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The University of Michigan is an equal opportunity/affirmative action employer.