University of Michigan

Statistical and Data Science Consultant - Biostatistics

University of Michigan$70K — $95K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Graduate degree in Statistics, Biostatistics, Data Science, Survey Methodology, or Mathematics.
  • Experience in public health and biomedical research with health-related data.
  • Strong foundation in statistical data analysis theory.
  • University-level teaching and consulting experience.
  • Proficient in multiple data analysis environments (e.g., SAS, R) and programming languages (e.g., Python).
  • Excellent interpersonal and communication skills for technical concepts.
  • Interest in research design and diverse research goals.

Responsibilities

  • Collaborate with U-M researchers on funded research projects.
  • Provide one-on-one consulting to U-M researchers.
  • Develop and teach workshops and associated materials.
  • Address queries sent to CSCAR @ ISR via email.
  • Conduct statistical analyses for clients.
  • Engage in regular team meetings at CSCAR.
  • Mentor graduate students involved with CSCAR.

Benefits

  • Participation in innovative, cutting-edge research.
  • Opportunities for professional development and continuous learning.
  • Collaboration with leading researchers in public health and statistics.
  • Engagement with a diverse community of researchers and practitioners.
  • Flexible work environment with options for hybrid work arrangements.
Full Job Description
How to Apply

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.

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 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.

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 School of Public Health's Department of Biostatistics, 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.

Job Detail

Job Opening ID

280423

Working Title

Statistical and Data Science Consultant - Biostatistics

Job Title

Statistician Senior

Work Location

Ann Arbor Campus

Ann Arbor, MI

Modes of Work

Hybrid

Full/Part Time

Full-Time

Regular/Temporary

Regular

FLSA Status

Exempt

Organizational Group

Inst Soc Research

Department

CSCAR-Biostatistics

Posting Begin/End Date

7/21/2026 - 8/05/2026

Career Interest

Research

About University of Michigan

The University of Michigan is a public research university in Ann Arbor, Michigan. It is the state's oldest university and the flagship campus of the University of Michigan system. The University of Michigan was founded in 1817 in Detroit, as the Catholepistemiad, or University of Michigania, 20 years before the territory became a state. The school moved to Ann Arbor in 1837 onto 40 acres (16 ha) of what is now known as Central Campus. Since its establishment in Ann Arbor, the university campus has expanded to include more than 584 major buildings with a combined area of more than 34 million gross square feet (781 acres or 3.16 km²), and has two satellite campuses located in Flint and Dearborn. The University of Michigan is a founding member of the Association of American Universities.
Learn more about University of Michigan
Size
50,000 employees
Industry
Founded
1817

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