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 Michigan Public Health - Substance Use Policy and Economic Research (M-SUPER) Network at the University of Michigan School of Public Health is seeking a full-time statistician at the senior level. This is a three (3)-year term-limited appointment with the possibility of renewal contingent upon performance and funding.
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. Salary will be determined based on candidate qualifications and experience.
The M-SUPER Network is an interdisciplinary, interinstitutional consortium of faculty, investigators, and students coordinated by Dr. Thuy Nguyen, principal investigator (PI) and Assistant Professor of Health Management and Policy in the University of Michigan School of Public Health. The network members employ rigorous quantitative approaches and leverage access to multiple large databases to address pressing substance use policy knowledge gaps (https://sph.umich.edu/msuper).
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 SQ to clean, manage, and merge analytic datasets from large health insurance claims databases as dictated by study protocols
- Conducting advanced statistical analyses, such as regression modeling, multiple imputation, multilevel modeling, and survey analysis
- Working closely with the M-SUPER 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
Successful performance of these duties will require:
- Reshaping and combining large, complex data files to support multiple analytic approaches (50%)
- Organizing and maintaining analytic datasets and file systems for several projects (20%)
- Developing flow charts and other resources to clearly document processes to combine datasets; building analytic datasets; identifying study populations, etc. (10%)
- Independently planning and conducting complex analyses and technical investigations based upon comprehensive knowledge of statistical approaches (10%)
- Leading the development of statistical methodology for manuscripts and grants (10%)
Required Qualifications*
- Master's degree in related field with strong computing and quantitative skills
- Minimum of 3 years of direct experience with data management and statistical analysis for Statistician Senior, or 1-3 years for Statistician Intermediate
- At least 1 year of experience analyzing claims databases, such as Medicare, Medicaid, or commercial claims
- Proficiency in the use of SAS and PROC SQL to manage, merge and manipulate large datasets
- Possesses and applies a broad knowledge of principles, practices, and procedures of health services research to the completion of difficult assignments
- Must be able to work with minimal supervision
Desired Qualifications*
- Master's Degree in public health, biostatistics, statistics, computer science or economics
- Experience with complex data structures and linkages between data sources (e.g., administrative medical claims databases)
- Proficiency with STATA (experience with SAS is required)
- Demonstrated excellence in teaching, consulting, and mentoring in statistical concepts
- 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
North Campus Research Complex, Building 16.
The responsibilities of this position may be fulfilled in a hybrid work environment. The M-SUPER team works remotely 3-4 days/week with 1-2 on-site days/week for in-person meetings.
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.
Underfill Statement
This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.
Background Screening
The selected candidate must have legal authorization to work in the United States.
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 will be 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.
Decision Making Process
Applications will be reviewed as received throughout the posting period and continue until the position is filled.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.