Statistical and Data Science Consultant - Biostatistics

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.

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 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.
• A 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.

Why Work at Michigan?

Benefits at the University of Michigan Benefits 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 offA retirement plan that provides two-for-one matching contributions with immediate vesting upon meeting eligibility requirementsMany choices for comprehensive health insuranceLife insuranceLong-term disability coverageFlexible spending accounts for healthcare and dependent care expenses

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.

Equal Opportunity Employer

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.