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Michigan Medicine

Statistician & Analyst Lead

Michigan Medicine, Ann Arbor, Michigan, us, 48113

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Job Summary

We are looking for an innovative and driven individual to join the Michigan Hospital Medicine Safety Consortium (HMS) leadership team (60%) and the Divisions of Hospital Medicine and Pulmonary & Critical Care (40%) as Statistician & Analyst Lead. The HMS is a Blue Cross Blue Shield of Michigan and Blue Care Network funded Collaborative Quality Initiative. The HMS Coordinating Center collaborates with hospitals across Michigan to improve the quality of care for hospitalized medical patients. You will collaborate with data analysts and statisticians, reporting to the HMS Program Manager, and support research focused on critical illness and sepsis. Mission Statement

Michigan Medicine improves the health of patients, populations, and communities through excellence in education, patient care, community service, research, and technology development. Our mission is guided by three critical components: patient care, education, and research. Who We Are

The Division of Hospital Medicine at Michigan Medicine is a collaborative, dynamic team comprised of over 140 faculty members and 90 clinical staff. We advance the care of acutely ill patients across multiple hospital locations, manage a daily census of more than 320 patients, and lead cutting‑edge health sciences research and quality improvement initiatives. Why Join Michigan Medicine

Michigan Medicine is one of the largest health care complexes in the world, with over 30,000 employees. It is a site of groundbreaking medical and technological advancements and attracts outstanding people in medicine, sciences, and healthcare. Benefits

Excellent medical, dental, and vision coverage effective on your first day. 2:1 match on retirement savings. Responsibilities

Supervise and coordinate the daily work of data analysts and statisticians. Recruit, interview, select team members, and lead the orientation process for new hires. Mentor and develop a high‑performing team through individualized performance plans and regular coaching. Oversee the development and enforcement of robust data management standards and scalable analytics platforms. Develop SOPs and best practices for research analyses, including epidemiologic and observational causal inference studies. Assist with manuscript preparation, grant preparation, and dissemination of research findings. Guide the team in designing, developing, and maintaining custom applications, dashboards, and reporting solutions. Serve as a subject matter expert on data collection, statistical modeling, and related technical processes. Facilitate open communication channels with managers, peers, staff, and physicians. Collaborate with stakeholders across the organization, translating complex statistical findings into actionable insights. Lead regular team and collaborative meetings, communicate operational needs effectively, and contribute to quality improvement initiatives. Champion a culture of continuous improvement, innovation, and collaboration. Design, conduct, and interpret advanced statistical analyses using datasets relevant to research or operational goals. Apply appropriate statistical methodologies to evaluate hypotheses, assess outcomes, and support decision‑making. Develop and maintain statistical models to identify trends, patterns, and relationships within complex data. Prepare comprehensive reports and visualizations summarizing key statistical findings for stakeholders and publication. Other duties as assigned. Required Qualifications

Master's degree in a quantitative discipline such as Statistics, Biostatistics, Public Health, Computer Science, Informatics, or related field. At least 10 years of relevant professional experience. Minimum of 3–5 years of supervisory experience, with a demonstrated ability to lead technical teams and manage complex, cross‑functional projects. Proficiency in multiple statistical programming languages such as SAS, STATA, Python, and R, with extensive experience maintaining large and complex datasets. Experience with version control systems (e.g., GIT, Subversion) and creating advanced SQL queries. Skilled in preparing, maintaining, and leading the development of technical documentation for data and analysis files. Expertise in master data management, data governance, data security, and analytics tools such as Tableau or Power BI. Proven track record of success in collaborative, team‑oriented environments. Excellent communication, collaboration, and leadership skills. Willingness to travel within Michigan 2–3 times per year for collaborative meetings. Desired Qualifications

PhD in a quantitative discipline such as Statistics, Biostatistics, Public Health, Computer Science, Informatics, or related field. Experience with applied analysis of health data. Experience with health services research leveraging multi‑hospital data. Experience in healthcare quality improvement. Experience with publishing research in top‑tier medical journals, including responding to reviewer comments. Work Schedule

This is a full‑time position (40 hours/week) typically scheduled Monday‑Friday. Work Locations

The role is hybrid, requiring in‑office presence in Ann Arbor one or more days per week. Modes of Work

Positions 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. Direct Supervision Of The Following Position Titles

Database Analyst/Programmer Intermediate (2) Statistician Staff Specialist Lead Statistician Intermediate Background Screening

Michigan Medicine conducts background screening and pre‑employment drug testing on job candidates upon acceptance of a contingent job offer. Background screenings are performed in compliance with the Fair Credit Report 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 Statement

The University of Michigan is an equal employment opportunity employer.

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