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.
AI&DHI serves as the operational backbone for AI and digital health research at U-M, spanning faculty, researchers, and clinicians across 75 departments and 17 schools and colleges. Our team provides the data infrastructure, AI tools, systems integrations, and research enablement services that help investigators translate promising ideas into validated, deployable innovations. We partner closely with Michigan Medicine, Michigan Engineering, and other institutional units to deliver services researchers can rely on.
We're hiring a full-time Data and AI Engineer to design, build, and maintain the data systems, pipelines, and AI integrations that power research and clinical tools across Michigan Medicine. This role centers on data architecture, EHR data integration, database engineering, and technical consultation, with additional contributions to backend development, APIs, automation, and AI systems integration.
You'll sit at the intersection of data engineering and applied AI ? building robust, production-grade data pipelines, managing OpenShift/Kubernetes-based infrastructure, and integrating AI tools with platforms including Epic EHR, frontier and enterprise LLMs, and other services across the university. We're looking for a self-motivated engineer with strong experience in data systems development, container orchestration, and AI tool deployment who thrives in a collaborative, research-driven environment and enjoys solving complex technical problems that directly impact clinical and research outcomes.
This position is hybrid, based primarily from home with onsite opportunities in Ann Arbor, Michigan. A fully remote arrangement will be considered for exceptional candidates.
- Serve as a primary technical resource for understanding and interpreting Michigan Medicine EHR data across a broad range of clinical, operational, and research domains.
- Develop and maintain a detailed understanding of how Epic MiChart data is created, represented, integrated, and made available through systems such as Clarity, Caboodle, Chronicles, FHIR services, HL7 interfaces, and institutional data warehouses.
- Investigate unfamiliar clinical, nursing, hospital, and administrative workflows to determine how the underlying data should be interpreted and used.
- Design, build, and support real-time and batch healthcare-data integrations, including HL7 ADT, radiology, cardiology, laboratory, and other clinical interface feeds.
- Work with institutional integration technologies and teams, including interface engines and messaging infrastructure, to ingest, transform, validate, and deliver clinical data.
- Serve as a data consultant to researchers, clinicians, analysts, and software engineers by helping them identify appropriate data sources, understand data limitations, and design effective data-driven solutions.
- Independently research complex data questions while recognizing when clinical, operational, Epic, or infrastructure subject-matter experts should be engaged to validate assumptions and conclusions.
- Review proposed data and system designs, challenge assumptions when appropriate, and recommend solutions that improve accuracy, maintainability, scalability, and alignment with institutional standards.
- Design and review database schemas, tables, views, stored procedures, and data-access patterns that support application-development and research initiatives.
- Partner with software engineers early in the application-development process to ensure database structures and data-access approaches are well designed rather than added after application development is underway.
- Support backend and API development associated with data platforms, real-time data services, research applications, and AI-enabled tools.
Bachelor's degree in Computer Science, Data Engineering, Biomedical Informatics, or a related field
5 to 7 years of systems/software programming activities in a business environment with a comprehensive knowledge of software applications.
Experience working with EHR platforms, particularly Epic/MiChart integrations
Familiarity with large language model (LLM) APIs and AI tool deployment
Experience with Linux/Unix environments for research computing
Experience working with sensitive and confidential data regulated by HIPAA
Familiarity with HL7 FHIR standards for health data interoperability
Systems Programmer/Analyst Intermediate
Bachelor's degree in Computer Science, Software Engineering, a related field, or equivalent experience
3-5 years of experience developing and deploying AI tools and systems
Hands-on experience with Kubernetes (OpenShift) for container orchestration and deployment
Proficiency in Python or equivalent languages for data engineering and systems development
Experience with cloud-native infrastructure and DevOps practices, including CI/CD pipelines and version control (Git)
Experience integrating software systems with external APIs and enterprise platforms
Strong communication skills, both oral and written, with the ability to work across technical and non-technical teams
Strong organizational skills with attention to detail and accuracy
Master's degree in Computer Science, Data Engineering, Biomedical Informatics, or a related field
Experience working with EHR platforms, particularly Epic/MiChart integrations
Familiarity with large language model (LLM) APIs and AI tool deployment
Experience with Linux/Unix environments for research computing
Experience working with sensitive and confidential data regulated by HIPAA
Familiarity with HL7 FHIR standards for health data interoperability
- Master's degree in Computer Science, Data Engineering, Biomedical Informatics, or a related field
- Experience working with EHR platforms, particularly Epic/MiChart integrations
- Familiarity with large language model (LLM) APIs and AI tool deployment
- Experience with Linux/Unix environments for research computing
- Experience working with sensitive and confidential data regulated by HIPAA
- Familiarity with HL7 FHIR standards for health data interoperability
The University of Michigan Medical School (UMMS) fosters the education and research missions of Michigan Medicine, one of the top-ranked academic medical centers in the country. The school has a 172-year history of creating innovative programs designed to train the next generation of leaders in medicine, science, and other emerging health professions. Throughout our 20 clinical and nine basic science departments, we are committed to a single mission: to transform health through bold and innovative education, discovery, and service.
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.
This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.
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 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.
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 Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
