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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

Blue Cross Blue Shield of Michigan (BCBSM) sponsored Collaborative Quality Initiatives (CQIs) are statewide quality improvement programs whose goals are to improve quality, safety, and clinical outcomes for specific healthcare procedures or medical conditions across the state of Michigan (www.uofmhealth.org/quality-collaboratives). Each CQI is organized and facilitated by a Coordinating Center, led by Program Directors and Co-directors (physicians and nurses), and Program Managers. A CQI's staffing typically includes administrative staff, project managers, and statistician/data analysts, among other roles. 

The Michigan Collaborative for Type 2 Diabetes is seeking a detail-oriented self-starter to join the team in the role of Statistician. MCT2D is a statewide CQI working with more than 300 physician practices across Michigan. The project works to improve the quality of Type 2 Diabetes care across the state, through dissemination and implementation of strategies designed to reverse the metabolic dysfunction that typically progresses from pre-diabetes to uncomplicated type 2 diabetes to type 2 diabetes with complications. Strategies include helping practices to engage patients in lower carbohydrate diets, implement continuous glucose monitoring technology, and prescribe newer medications to treat high blood sugar and prevent complications of type 2 diabetes.

As the MCT2D Statistician, you will play a critical role in the following areas:

Management of large datasetsProper analytic design in order to accurately and fairly measure practice and physician organization performance Preparation of reports and the presentation of results to program participants , program sponsors, and other CQI programsStatistical analysis for conference posters and peer reviewed journal publicationsMaking recommendations to program leadership on how data should be visualized to both demonstrate desired results, and to maintain scientific validity. Creation of scripts to automate analyticsStatistical analysis of survey results including free text response codingVisualization of data using statistical best practices and human centered design

The MCT2D statistician will work with multiple different data types including clinical data, claims data, survey data, and data from remote patient monitoring devices, such as continuous glucose monitors. The statistician will analyze and display data from various databases and other sources; clean and construct datasets; develop and/or maintain databases; perform statistical programming; and provide technical assistance to the team. 

This position is an excellent opportunity to gain expertise in data management. Candidates for this position must be driven, with an intellectual curiosity and desire to continue learning, as well as the ability to handle multiple projects at one time. Strong analytic, organizational, verbal, and written communication skills are critical to this role.

This position will be considered hybrid with approximately 95% of the work being remote. This individual will however be required to come on site for occasional in person meetings and attend at least one yearly regional meeting that occurs in the evening from 6-8. An on-site work environment is available for those that prefer it. Flexible work agreements are reviewed annually and are subject to change dependent on the business needs of the hiring department, throughout the course of employment.

Mission Statement

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally.  Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Why Join Michigan Medicine?

Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems.  In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.

What Benefits can you Look Forward to?

Excellent medical, dental and vision coverage effective on your very first day 2:1 Match on retirement savingsResponsibilities*

This position involves a wide range of tasks including data management, programming, and analysis supporting quality improvement. Specifically, the position involves providing independent and collaborative statistical support. 

Responsibilities include but are not limited to:

40% Data Analysis

Extract, transform, and merge raw data from various data sources into usable forms and construct datasets Perform statistical programming utilizing Python and a variety of other statistical software packages to summarize data in order to create reports and/or visual presentationsPresent analytic methods and recommended approaches to program leadership to ensure a high quality productPerform the correct statistical analysis for peer review journal publications as determined by the MCT2D Ph.D. statistician

40% Data Visualization and Reporting

Design and prepare standard and ad hoc reports to inform the development of performance metrics and report on participant progress for both internal and external stakeholdersCreate and implement programs and templates to collect, display and analyze data for assigned projects and/or clients Prepare summaries for statistical analysis and planning purposesWork closely with the CQI Population Health Registry to develop new reports and validate and troubleshoot analytic discrepanciesWork closely with the MCT2D team to summarize, interpret, and present results in written, tabular, and visual formatsCreate data visualizations for peer reviewed journal articles that accurately and effectively convey the results of quality improvement and research efforts

15% Document and Innovate

Document procedures for future reference and make recommendations for data analysis process improvementsRespond to questions, data needs, and ad-hoc requests from collaborative participants Create efficiencies through improved processes for data management, use, sharing, and linkingCreate, prepare and maintain technical documentation of data and analysis files.

5% Other duties as assigned.

Required Qualifications*Minimum of Bachelor's degree in Statistics, Biostatistics or related field1 - 3 years relevant professional experiencePrevious experience with data abstractionProficiency with PythonExperience with other programming languages such as SQL, SAS, or R.Strong, demonstrable programming skills and experience with relational databases, complex data structure, and linkages between data sourcesExperience with Microsoft Excel and PowerPoint for the development of presentation materialsProven ability to write clear and concise technical documentation, summaries of various methodologies, and descriptions of statistical resultsExcellent communication, both oral and written in English language, and interpersonal skills are essentialAbility to prioritize, organize, and efficiently work on multiple projects at the same timeAbility to reliably attend virtual meetings Experience communicating effectively with non-technical individuals and translating clinical vision into statistical designDesired Qualifications*Master's degree in Statistics, Biostatistics, Computer Science, or related fieldExperience with data visualizations and reporting software such as Matplotlib, Tableau, Power BI, etcExperience with additional statistical software and programming languages and/or the ability and willingness to learn as necessaryExperience in directing, managing and analyzing research projects using large administrative and medical databasesExperience working with biomedical laboratory testing resultsExperience working with insurance claims dataExperience with statistical libraries such as Pandas, NumPy, dplyr, ggplot2, tidyr, etc.Experience working with platforms such as Jupyter notebooksWorking knowledge of epidemiologic concepts and methodologyExperience with survey platforms such as Qualtrics and RedCapModes 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.

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 Statement

The University of Michigan is an equal employment opportunity employer.