Statistician Intermediate

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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. Applications receiving serious consideration will include a cover letter that clearly addresses the applicant’s interest in the position and that specifically relates the skills and experience that are relevant to the required and desired qualifications described in this posting. Salary is competitive based on previous experience and qualifications.

Summary

The Population Studies Center (PSC) at the Institute for Social Research is seeking a Research Statistician who will join a team of analysts to provide scientific and technical support to researchers in the areas of data science, statistics, and other technical aspects of research.

The ideal candidate for this position will use a mix of technical, statistical, computational, and consulting skills to work with PSC faculty (and other external clients) on various research projects and proposals, and will independently conduct analyses of research data generated by client projects. Roles and responsibilities of this position are to: work directly with client projects to provide technical support and guidance on data analysis methods, study design, high-performance computing, data visualization, and data security and storage; conduct statistical analyses and provide programming support and data management; facilitate access to public use and restricted data; offer guidance on data management and data safeguarding; and consult with and train population researchers on all of these topics as part of an initiative designed to enhance the research productivity and external research support of the PSC faculty. This position will be supervised by a Statistician Lead.

PSC is an interdisciplinary center at the University of Michigan Institute for Social Research in which researchers conduct domestic and international research in several key areas of demographic research, including family and intergenerational influences on health and wellbeing; reproductive health, fertility, and romantic relationships; and population health, life course, and biosocial processes.

Why Work at 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
  • Vision, Dental, and Life insurance
  • Long-term disability coverage
  • Flexible spending accounts for healthcare and dependent care expenses
  • Tuition reimbursement

Learn more about U-M benefits.

Responsibilities*

Major areas of responsibility include but are not limited to:

  • Writing, validating, and documenting statistical code in packages including SAS, Stata, R, and others as needed, that permits the cleaning, summarizing, and analysis of demographic and survey data (50%)
  • Preparing tables, figures, data visualizations, and analytic text based on data analyses (40%)    
  • Consulting with PSC faculty and staff on: 1) obtaining public use and restricted data; 2) accessing and using secure data enclaves and other computing resources, 3) processing, cleaning, and manipulating complex data files, 4) designing studies, conducting statistical analyses and troubleshooting and optimizing programming code, and 5) managing and safeguarding data (10%)

Required Qualifications*

  • Bachelor’s degree in a relevant statistical or quantitative social science discipline
  • 1 to 3 years of experience in a research setting involving statistical analysis, data science, data management, and computing
  • Command of one or more of the following languages: SAS, R, Stata, and Python
  • Strong computing skills, including the ability to learn new software packages quickly
  • Demonstrated continuous development of programming and analytic skills
  • Experience with text analysis, machine learning, or other algorithm-based programming a plus, alongside working with large and complex data sets
  • Demonstrated creativity and flexibility in applying skills toward identifying and resolving data management and analysis issues, experience working with restricted data and data safeguarding procedures a plus
  • Demonstrated experience engaging with stakeholders to constructively build partnerships and share capabilities and opportunities for technical support and also proactively share project progress and status
  • Ability to multi-task and prioritize efforts across multiple simultaneous projects
  • Personal commitment to high quality work with the ability to work as part of a team and individually while meeting deadlines

Desired Qualifications*

  • a preference of 2+ years of quantitative data analysis
  • Experience and familiarity with work in interdisciplinary social science settings is desirable

Additional Information

Institute for Social Research job openings are posted for a minimum of fourteen (14) calendar days. This opening may be removed from posting boards and filled any time after the minimum posting period has ended.

We have returned to in-person work at our offices in Ann Arbor, MI, but we support hybrid work schedules.

The Institute for Social Research at the University of Michigan wants 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.


U-M COVID-19 Vaccination Policy

COVID-19 vaccinations, including boosters when eligible, are required for all University of Michigan students, faculty and staff across all campuses, including Michigan Medicine.  This includes those working remotely.   More information on this new policy is available on the Campus Blueprint website or the UM-Dearborn and UM-Flint websites.