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 skills and experience that directly relate to this position.

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.

• 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.

• A graduate degree in Statistics, Biostatistics, Data Science, Survey Methodology, or Mathematics.
• Training and demonstrated experience in public health research, biomedical research, bioinformatics, and working with health-related data (including genetic data and biosocial databases).
• 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 environments, including clusters and distributed data and computing infrastructure.
• 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.

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.

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.

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.

The University of Michigan is an equal employment opportunity employer.