Statistical and Data Science Consultant - Biostatistics

Statistical And Data Science Consultant

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 seeks a Statistical and Data Science Consultant to serve as a member of its core staff within the Department of Biostatistics at the School of Public Health. The individual will collaborate closely with U-M researchers on challenging and innovative research questions, with a particular focus on public health, biomedical research, bioinformatics, and working with other health-related data.

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.

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.

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.

This position will be fully onsite at the University of Michigan offices in Ann Arbor, embedded within the School of Public Health's Department of Biostatistics, Monday - Friday.

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…