Uofmhealth
Join to apply for the
Statistician Senior
role at
Michigan Medicine Overview
The Department of Surgery at the University of Michigan is committed to creating a positive, substantive impact on human health, through collaboration among clinicians, scientists, medical and business professionals to achieve innovative science and meaningful discovery. The individual in this position will work under the direction of Dr. Ryan Howard, a minimally invasive surgeon and health services researcher at Michigan Medicine. His research focuses on studying the quality and safety of surgical care using large healthcare datasets to analyze trends in care delivery, costs, and patient outcomes. Specific interests include long-term patient outcomes after hernia and bariatric surgery, the comparative effectiveness of medical and surgical treatment of obesity, and postoperative opioid prescribing. The statistician in this position will be integral to executing research projects by performing organization and maintenance of large administrative datasets, statistical programming (i.e., coding), data analysis, and summarization and interpretation of the results. The individual will help determine appropriate analytic methodologies for specific projects and will support and work alongside Dr. Howard, his research collaborators, and various trainees on these projects. The statistician in this position should be comfortable cleaning large datasets and creating cohort files, and will manage very large data sets including Medicare, Medicaid, MarketScan, Truven, regional insurance claims, and patient registries. Responsibilities
Understand each research project and propose appropriate design and methodology Write, test, and implement analytic code using Stata, R, Python, or SAS to clean, manage, merge, and analyze data Develop statistical analyses for presentation and discussion with the principal investigator and others Contribute to study reports or manuscripts by preparing tables, graphs and other data displays Create and maintain technical documentation Contribute to the development of methods to evaluate progress of data collection on new projects Participate as a team member in discussions on analysis and improvement of data collection, quality of data analyses, programming, and documentation Other duties as assigned Required Qualifications
Degrees in related field with strong computing and quantitative skills will be considered Bachelor's degree in related field; master's degree strongly preferred 3-5 years experience using statistical analysis software (e.g. Stata, R, Python, SAS) Possesses and able to apply a broad knowledge of principles, practices, and procedures of health services research to difficult assignments Ability to program, manage data, and conduct statistical analysis Desired Qualifications
Master's degree in Statistics, biostatistics, Public Health, or related field Experience coding in at least two of the following: Stata (preferred), Python, R, or SAS Experience with multivariable and multilevel regression modeling (difference-in-differences and instrumental variables a plus) Experience supporting, managing, and analyzing major research projects using large administrative datasets (Medicare, Medicaid, and commercial insurance) Experience with database management and complex data structures and linkages between data sources including understanding medical procedure codes Excellent interpersonal and written communication skills; ability to work with teams Working knowledge of epidemiologic concepts and methodology Strong programming knowledge using a high-level language Ability to draft statistical tests in accordance with project designs and to solve analytic problems (descriptive statistics, linear/logistic regression, survival analysis, mixed models with repeated measures, multilevel modeling) 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 and are subject to change. This position will offer a flexible work schedule with both in-person and remote opportunities. Administrative work is primarily from home, with the team striving to be in the office 1 day per week when feasible. When onsite, there will be a dedicated office space among the research team at the North Campus Research Complex. 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. Background screenings are performed in compliance with the Fair Credit Reporting 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 Statement
The University of Michigan is an equal employment opportunity employer. Seniority level
Mid-Senior level Employment type
Full-time Job function
Research, Analyst, and Information Technology Industries
Hospitals and Health Care
#J-18808-Ljbffr
Statistician Senior
role at
Michigan Medicine Overview
The Department of Surgery at the University of Michigan is committed to creating a positive, substantive impact on human health, through collaboration among clinicians, scientists, medical and business professionals to achieve innovative science and meaningful discovery. The individual in this position will work under the direction of Dr. Ryan Howard, a minimally invasive surgeon and health services researcher at Michigan Medicine. His research focuses on studying the quality and safety of surgical care using large healthcare datasets to analyze trends in care delivery, costs, and patient outcomes. Specific interests include long-term patient outcomes after hernia and bariatric surgery, the comparative effectiveness of medical and surgical treatment of obesity, and postoperative opioid prescribing. The statistician in this position will be integral to executing research projects by performing organization and maintenance of large administrative datasets, statistical programming (i.e., coding), data analysis, and summarization and interpretation of the results. The individual will help determine appropriate analytic methodologies for specific projects and will support and work alongside Dr. Howard, his research collaborators, and various trainees on these projects. The statistician in this position should be comfortable cleaning large datasets and creating cohort files, and will manage very large data sets including Medicare, Medicaid, MarketScan, Truven, regional insurance claims, and patient registries. Responsibilities
Understand each research project and propose appropriate design and methodology Write, test, and implement analytic code using Stata, R, Python, or SAS to clean, manage, merge, and analyze data Develop statistical analyses for presentation and discussion with the principal investigator and others Contribute to study reports or manuscripts by preparing tables, graphs and other data displays Create and maintain technical documentation Contribute to the development of methods to evaluate progress of data collection on new projects Participate as a team member in discussions on analysis and improvement of data collection, quality of data analyses, programming, and documentation Other duties as assigned Required Qualifications
Degrees in related field with strong computing and quantitative skills will be considered Bachelor's degree in related field; master's degree strongly preferred 3-5 years experience using statistical analysis software (e.g. Stata, R, Python, SAS) Possesses and able to apply a broad knowledge of principles, practices, and procedures of health services research to difficult assignments Ability to program, manage data, and conduct statistical analysis Desired Qualifications
Master's degree in Statistics, biostatistics, Public Health, or related field Experience coding in at least two of the following: Stata (preferred), Python, R, or SAS Experience with multivariable and multilevel regression modeling (difference-in-differences and instrumental variables a plus) Experience supporting, managing, and analyzing major research projects using large administrative datasets (Medicare, Medicaid, and commercial insurance) Experience with database management and complex data structures and linkages between data sources including understanding medical procedure codes Excellent interpersonal and written communication skills; ability to work with teams Working knowledge of epidemiologic concepts and methodology Strong programming knowledge using a high-level language Ability to draft statistical tests in accordance with project designs and to solve analytic problems (descriptive statistics, linear/logistic regression, survival analysis, mixed models with repeated measures, multilevel modeling) 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 and are subject to change. This position will offer a flexible work schedule with both in-person and remote opportunities. Administrative work is primarily from home, with the team striving to be in the office 1 day per week when feasible. When onsite, there will be a dedicated office space among the research team at the North Campus Research Complex. 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. Background screenings are performed in compliance with the Fair Credit Reporting 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 Statement
The University of Michigan is an equal employment opportunity employer. Seniority level
Mid-Senior level Employment type
Full-time Job function
Research, Analyst, and Information Technology Industries
Hospitals and Health Care
#J-18808-Ljbffr