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.

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 Michigan Hospital Medicine Safety Consortium (HMS) is a Blue Cross Blue Shield of Michigan and Blue Care Network funded Collaborative Quality Initiative. We are a data-driven collaborative made up of hospitals across the State of Michigan with a goal of improving the quality of care for hospitalized medical patients. As a part of the HMS Coordinating Center, you will collaborate with a dynamic team, including 2 data analysts and three statisticians, and will report to the HMS Program Manager. HMS currently has 68 hospitals/program participants with potential for future expansion. 

The Divisions of Hospital Medicine and Pulmonary & Critical Care are seeking a 40% FTE statistician to support Dr. Hallie Prescott and Dr. Liz Viglianti, health services researchers at Michigan Medicine. Their research focuses on the care of patients with critical illness, including sepsis.

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.

About the Division of Hospital Medicine: The Division of Hospital Medicine at Michigan Medicine is a collaborative, dynamic, and rapidly expanding team comprised of over 140 faculty members, 45 advanced practice providers, and 45 operational, administrative, and research staff. We are dedicated to advancing the care of acutely ill patients across multiple hospital locations, managing a daily census of more than 320 patients. Our team is at the forefront of cutting-edge health sciences, health systems research, and quality improvement initiatives, with a growing portfolio of research funding. We take pride in our leadership roles within the hospital, health system, region, and on a national level. Our division fosters a supportive, transparent, and positive team environment, embracing change with curiosity and courage in the ever-evolving landscape of healthcare. We are relentless in our pursuit of excellence and innovation, always striving to work smarter and better by maximizing the diverse skills and strengths of every team member. Supported and valued by the Department of Internal Medicine and our partners in the Adult Hospitals, we invite you to thrive as a vital member of our team. Join the "leaders and best" in the Hospital Medicine Division!

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 savings

• Supervise and coordinate the daily work of data analysts and statisticians, ensuring timely and high-quality deliverables.
• Recruit, interview, select team members, and lead the orientation process for new hires.
• Mentor and develop a high-performing team by implementing individualized performance plans and fostering professional growth through regular coaching, evaluation, and feedback.
• Oversee the development and enforcement of robust data management standards and scalable analytics platforms, maintaining high data quality, accuracy, and consistency.
• Develop standard operating procedures 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 to meet evolving organizational needs.
• Serve as a subject matter expert on data collection, statistical modeling and related technical processes, providing expert guidance and support to both the team and stakeholders.
• Facilitate open communication channels with managers, peers, staff, and physicians to promote collaboration and information sharing.
• Collaborate with stakeholders across the organization, translating complex statistical findings into actionable insights to support evidence-based decision-making.
• Lead regular team and collaborative meetings, communicate operational needs effectively, and actively contribute to quality improvement initiatives.
• Champion a culture of continuous improvement, innovation, and collaboration within the team and across functional areas.
• Design, conduct, and interpret advanced statistical analyses using datasets relevant to the research or operational goals of the department.
• 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.

• Masters degree in a quantitative discipline, such as Statistics, Biostatistics, Public Health, Computer Science, Informatics, or a 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 including analysts and developers and manage complex, cross-functional projects.
• Proficiency in multiple statistical programming languages such as SAS, STATA, Python, and R, with extensive experience in 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. 

• PhD in a quantitative discipline, such as Statistics, Biostatistics, Public Health, Computer Science, Informatics, or a 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.

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

The role is hybrid, requiring in-office presence in Ann Arbor one or more days per week.

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.

Direct Supervision of the following Position Titles:

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

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.

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.

The University of Michigan is an equal employment opportunity employer.