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Who We Are

Consulting for Statistics, Computing, and Analytics Research (CSCAR @ ISR) is a service unit within the University of Michigan's Institute for Social Research, with service spokes located in the Statistics Department within LSA and the Department of Biostatistics within the School of Public Health. CSCAR @ ISR supports U-M researchers in their work involving research design, data analysis, and research dissemination. CSCAR @ ISR consultants work directly with investigators, including faculty, students, and staff, who are engaged in all areas of research conducted at the University of Michigan. CSCAR @ ISR seeks a Statistical and Data Science Consultant to serve as a member of its core staff within the Institute for Social Research. The individual will collaborate closely with U-M researchers on challenging and innovative research questions, with a particular focus on survey research, including sample design, questionnaire design, modern survey data collection techniques (e.g., mixed-mode design, data collection via mobile devices, responsive and/or adaptive survey design), and analysis of survey data.

Job Summary

The ideal candidate will be an excellent communicator with advanced statistical training and computing expertise, holding a graduate degree in Statistics, Biostatistics, Data Science, Survey Methodology, or Applied Mathematics. CSCAR @ ISR consultants frequently encounter analytic challenges that require non-standard methods or the development of new statistical methods. Thus, a solid grounding in advanced statistical theory and evidence of creative statistical insight are essential. The work may require innovative analysis and computation involving data that exhibit complex and unconventional structures. Thus, a consultant should have facility with a variety of computational tools, including fluent data programming skills and an understanding of numerical algorithms used in data modeling and analysis. CSCAR @ ISR consultants must be capable of managing multiple projects and responsibilities simultaneously, and should be able to set and meet goals with minimal supervision.

Responsibilities*

• Collaborate closely with University of Michigan (U-M) researchers, including provision of analysis on externally or internally funded research projects.
• Hold one-on-one consulting appointments with U-M researchers.
• Serve as an instructor for workshops in a classroom setting, and develop workshop materials.
• Respond to questions sent to CSCAR @ ISR via email.
• Conduct statistical analyses for CSCAR @ ISR clients.
• Participate in regular CSCAR @ ISR team meetings.
• Mentor and supervise graduate students working at CSCAR @ ISR.

Required Qualifications*

• A graduate degree in Statistics, Biostatistics, Data Science, Survey Methodology, or Mathematics.
• Training and demonstrated experience in survey research methodology, including questionnaire design, sample design, modern survey data collection techniques, and survey data analysis.
• Familiarity with survey data collection software (e.g., Qualtrics, Blaise, etc.)
• A solid foundation in the theory of statistical data analysis.
• Teaching and consulting experience at the university level.
• Excellent computing skills, including facility with two or more computing environments commonly used for data analysis (e.g. SAS, SPSS, R, Julia, Stata, Matlab), programming experience in one or more common programming languages (e.g. C or Python), and facility with advanced computing
• Excellent interpersonal skills and the ability to communicate advanced technical concepts clearly and effectively via oral presentations and peer-reviewed manuscripts.
• Strong background and interest in research design, and an interest in the broader goals of research in diverse fields.
• A positive attitude toward continuously learning new skills.
• A positive attitude toward helping researchers meet their goals.

Why Work at Michigan?

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

Learn more about U-M benefits.

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Work Locations

This position will be fully onsite at the University of Michigan offices in Ann Arbor, embedded within the Institute for Social Research, Monday - Friday.

Additional Information

The statements included in this description are intended to reflect the general nature and level of work assigned to this classification and should not be interpreted as all-inclusive.

The Institute for Social Research (ISR) at the University of Michigan seeks to create a community of respect and authentic collaboration by recruiting and retaining individuals that represent a variety of voices as a reflection of our commitment to serve the 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.

Background Screening

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third-party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.

Application Deadline

Applications are reviewed on a rolling basis until the position is filled. Institute for Social Research job openings are posted for a minimum of fourteen (14) calendar days. Candidates will be evaluated based on qualifications and interest areas.

U-M EEO Statement

The University of Michigan is an equal employment opportunity employer.