Statistician Lead/Expert

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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 Child Health Evaluation and Research (CHEAR) Center at the University of Michigan is seeking a full-time statistician at the lead or expert level. Under general direction, the statistician will select study samples in large health insurance claims databases; analyze and interpret a wide variety of data according to established statistical methods; and prepare reports and tables summarizing results of analyses. This position requires an individual who can work with a high degree of independence within the scope of their responsibilities. The individual will be expected to analyze, compare, and evaluate different courses of action to solve complex analytic and programming problems without immediate supervision. The position will come with excellent university benefits, competitive salary, and opportunities for career advancement and development. The CHEAR Center prides itself on fostering a collegial, open, and family-friendly work environment, and on using rigorous methods to conduct research to improve child health (www.chear.org).

Responsibilities*

Applicants must have a broad knowledge of statistical and programming principles, practices, and procedures, as the position requires a high degree of independence. At the same time, applicants must also have outstanding communication skills and operate as a highly valued collaborator with faculty, biostatisticians, research analysts, and database administrators. Responsibilities include:

  • Contributing intellectually to the design, implementation, programming, analysis, reporting, documentation, and dissemination of research projects as a co-author
  • Designing, testing, implementing, and debugging SAS programs using SQL merges to clean, manage, and merge analytic datasets for large health insurance claims databases based upon the design of the project
  • Conducting advanced statistical analyses, including but not limited to regression modeling, casual inference methods, multiple imputation, machine learning, and multi-level models
  • Work closely with the CHEAR team to develop grant proposals, including contributing to the framework of the study aims, designing and authoring the methodological approach, and performing power and sample size calculations
  • Ad hoc teaching and mentoring for staff and faculty, such as through 1:1 meetings, brown bag luncheons, and other training opportunities

Successfully performing these duties will require:

  • Reshaping and combining large data files to support multiple analytic approaches
  • Organizing and maintaining analytic datasets and file systems for several projects
  • Developing flow charts and other resources to clearly document processes to combine datasets; build analytic datasets; identify study population, etc.
  • Independently planning and conducting complex analyses and technical investigations best suited for the project based upon comprehensive knowledge of statistical approaches
  • Leading the development of statistical methodology for manuscripts and grants
  • Providing leadership and consultation to faculty and staff collaborators regarding statistical, programming, or other methodological issues

Required Qualifications*

Minimum requirements for Lead

  • Master’s degree in related field with strong computing and quantitative skills
  • Minimum of five years of direct experience with programming, health services research, and statistical analysis
  • Experience with SAS and/or Stata
  • Possesses and able to apply a broad knowledge of principles, practices, and procedures of health services research to the completion of difficult assignments
  • Must be able to independently program, manage data, and conduct statistical analysis

Minimum requirements for Expert

  • Master’s degree in related field with strong computing and quantitative skills
  • Minimum of ten years of direct experience with programming, health services research, and statistical analysis
  • Experience with SAS and/or Stata
  • Possesses and able to apply a broad knowledge of principles, practices, and procedures of health services research to the completion of difficult assignments
  • Must have an advanced knowledge and be able to independently program, manage data, and conduct important and complex statistical analysis

 

Title and salary will be determined based on candidate qualifications and experience.

Desired Qualifications*

  • Master’s Degree in public health, biostatistics, statistics, computer science or economics
  • Superior proficiency in the use of SAS and PROC SQL to manage, merge and manipulate large datasets
  • Experience with claims databases such as OptumInsight, MarketScan, Medicare, and Michigan Medicaid claims
  • Experience with obtaining and analyzing data from electronic medical records
  • Demonstrated excellence in teaching, consulting, and mentoring in statistical concepts
  • Familiarity with medical terminology
  • Experience with NIH grant preparation and submission
  • Demonstrated excellent professional, verbal and written communication skills
  • Ability to prioritize and organize multiple projects at the same time
  • Ability to independently act as a resource and problem-solver with minimal supervision

Work Schedule

Monday - Friday (40 hours/week)

Work Locations

300 North Ingalls Building, Ann Arbor, MI / You will be eligible for remote work flexibility.

Underfill Statement

This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.

Background Screening

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings.  Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

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 are now required for all University of Michigan students, faculty and staff across all three campuses, including Michigan Medicine.  This includes those working or learning remotely.  More information on this policy is available on the Campus Blueprint website or the U-M Dearborn and U-M Flint websites.