Statistician Intermediate

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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.

Summary

The Center for the Management of Information for Safe and Sustainable Transportation (CMISST) group at the University of Michigan Transportation Research Institute is seeking a part-time (20 hrs/week) statistician to join a multidisciplinary team focused on gathering, linking, disseminating, and analyzing transportation and related datasets, as well as developing new statistical techniques for analysis of linked datasets.

This position is a part-time (20 hrs/week) appointment. If agreed upon, hours per week could potentially increase in the future based on available funding.

NOTE: the posted salary range of $55,000-$65,000 would be the full-time rates for this position at 40 hours per week.

Who We Are

The University of Michigan Transportation Research Institute (UMTRI) is recognized internationally for our multidisciplinary research focusing on transportation safety and mobility (http://umtri.umich.edu). Established in 1965, we maintain the highest standards of excellence as we conduct research that improves peoples’ lives through access to safe, equitable and efficient mobility. UMTRI is a non-degree-granting unit within the College of Engineering at the University of Michigan that includes 20 faculty members, 65 research staff, and over 200 student researchers annually. Lecturer opportunities may be available for those who are interested, and several UMTRI faculty currently serve as lecturers in the College of Engineering. UMTRI generates between $14M and $18M in research expenditures each year with funding from a wide range of government agencies and industry partners.

Our Team
The CMISST group within UMTRI conducts research for a wide variety of industry, charitable foundations, and state and federal government sponsors. We have a substantial track record of obtaining funding beyond the posted appointment term and a strong commitment to the professional development and long-term retention of individuals who work in our group. CMISST staff and faculty work as team members on a variety of projects that change over time. The ideal candidate will enjoy doing more than one thing at a time, learning new skills, and working in a team setting. In addition, CMISST and the College of Engineering support a variety of flexible workplace options including remote work from home.

Responsibilities*

  • Independently conduct statistical analyses of transportation data using established techniques. 
  • Provide guidance on appropriate statistical techniques to researchers. 
  • Perform statistical simulations to assess new statistical techniques. 
  • Document the methods and results of statistical analyses in reports, journal articles, presentations, and other visual media. 
  • Query large databases. 
  • Perform literature reviews, consult with faculty to define research questions and analytical design. 
  • Write, test, and implement programs to clean, merge, and analyze large, complex datasets. 
  • Create standardized and recorded variables to facilitate analyses using multiple datasets. 
  • Implement methods to ensure data quality. 
  • Participate as a team member in discussions on data analysis and improvement of data collection, quality of data analyses, programming, and documentation. 

Required Qualifications*

  • The ideal candidate will have completed a master’s degree in biostatistics, statistics or other related field. 
  • 1-3 years relevant experience in statistical data analysis, modeling, programming, and simulation. 
  • Expertise in programming and analysis with SAS or R. 
  • Demonstrated ability to effectively document and communicate statistical methods. 

Desired Qualifications*

  • Experience with complex data structures and linkages between data sources 
  • Experience with GIS 
  • Familiarity with SQL. 
  • Familiarity with Python. 
  • Some experience with analysis of Big Data. 

Additional Information

Michigan Engineering seeks to recruit and retain a diverse workforce as a reflection of our commitments to serve the diverse people of Michigan, fulfill the College’s Guiding Principles, and sustain the excellence of the College of Engineering.

To learn more about diversity, equity, and inclusion visit: https://www.engin.umich.edu/about/diversity/

To learn more about the College of Engineering strategic vision visit: http://strategicvision.engin.umich.edu

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

Job openings are posted for a minimum of seven calendar days.  The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.


U-M COVID-19 Vaccination Policy

COVID-19 vaccinations, including boosters when eligible, are required for all University of Michigan students, faculty and staff across all campuses, including Michigan Medicine.  This includes those working remotely.   More information on this new policy is available on the Campus Blueprint website or the UM-Dearborn and UM-Flint websites.