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.

The Database Analyst Senior will evaluate, design, and maintain database systems to support a high-volume, methodologically rigorous research portfolio within the Department of Emergency Medicine. This role focuses on structuring, integrating, and managing complex clinical and research data sources?including emergency medical services (EMS), electronic health records (EHR), and clinical registries?to support clinical trials, observational studies, and outcomes research in acute neurologic emergencies.

The individual will work with minimal supervision and exercise independent judgment in the design and implementation of database solutions. This position partners closely with investigators, analysts, and clinical teams to ensure data integrity, accessibility, and alignment with research and operational objectives. Consistent with U-M senior-level classifications, assignments are broad in scope and require originality, ingenuity, and independent decision-making.

Database Design, Analysis & Systems Development (40%)

• Evaluate and design database structures to support research and operational data needs
• Develop data models, schemas, and architecture for multi-source healthcare datasets
• Maintain comprehensive documentation including data dictionaries, data flow diagrams, and system specifications
• Lead and support statistical design for database analyses, and pragmatic clinical trials in emergency and neurovascular care
• Develop analytic plans addressing time-critical care processes (e.g., scene time, transport decisions, door-to-treatment intervals)

Data Infrastructure & Management (20%)

• Design and maintain processes for data extraction, transformation, and storage across HER, EMS datasets, and clinical registries
• Build and maintain data pipelines for large, complex datasets
• Perform data cleaning, validation, and reconciliation across multiple sources
• Ensure data quality, integrity, and compliance with institutional and regulatory standards
• Conduct ongoing validation of data infrastructure to ensure accuracy and usability

Data Integration & Analytics Support (20%)

• Perform deterministic or probabilistic linkage across prehospital and hospital datasets
• Prepare analysis-ready datasets in collaboration with biostatisticians and investigators
• Translate clinical workflows and study designs into structured data elements
• Support development of datasets for clinical trials, registry studies, and health services research Perform sample size and power calculations for grants and manuscripts
• Provide methodologic input for NIH, AHA, DoD, and foundation proposals

Programming, Reproducibility & Visualization (10%)

• Primary programming in Stata or R (required); SAS experience strongly preferred
• Proficiency in ArcGIS
• Develop reproducible workflows using R Markdown/Quarto and version control (Git)
• Create publication-ready tables and figures (e.g., forest plots, flow diagrams, time-to-event curves)
• Support transparent and reproducible analytic pipelines aligned with journal and funder expectations (developing Statistical Analysis Plans to be included in publications)
• Present data findings and support interpretation for multidisciplinary teams

Collaboration, Communication & Mentorship (10%)

• Collaborate with clinicians, researchers, and operational leaders across departments
• Serve as a technical resource for database design and data management best practices
• Mentor junior analysts and research staff in data management and workflow development
• Contribute to grant submissions, manuscripts, and regulatory documentation
• Prepare statistical methods/results sections and respond to reviewer comments
• Clearly communicate findings to clinicians, trainees, and multidisciplinary collaborators

• Master's degree or higher in biostatistics, computer science, data science, health informatics, or a related field
• Experience in database design, data management, or healthcare analytics
• Experience working with large, complex datasets (e.g., EHR, registries, administrative data)
• Demonstrated ability to independently design and implement database solutions
• Excellent organizational, analytical, and communication skills

• Experience with national registry datasets like American Heart Association Get-With-The-Guidelines-Stroke
• Experience with EMS, stroke, trauma, or neurocritical care datasets
• Familiarity with clinical research data structures and workflows
• Experience with programming languages such as R, Python, SAS, or Stata
• Experience with dashboarding and visualization tools (Tableau, Power BI)
• Prior experience supporting NIH, AHA, or other federally funded research
• Statistical Methods (Expected Proficiency)
• Multivariable regression (logistic, linear, Poisson/negative binomial)
• AUC analysis / ROC curves for diagnostic studies
• Time-to-event and survival analyses (including competing risks)
• Hierarchical and mixed-effects models (patients nested within EMS agencies, hospitals, or regions)

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

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.

Work Environment

• Michigan Medicine Department of Emergency Medicine, Ann Arbor, MI
• Hybrid work options available based on departmental needs
• Reports to faculty leadership with collaboration across Emergency Medicine, Neurology, and data/analytics teams

• This is an exempt, professional staff position
• The role requires independent decision-making and impacts research and operational outcomes at the departmental level

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 any time after the minimum posting period has ended.

The University of Michigan is an equal employment opportunity employer.