Statistical and Data Science Consultant - ISR

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.

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., 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.

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