Data Architecture & Research Associate- RMM LAB

How to Apply

A brief 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

The Department of Learning Health Sciences (DLHS) ?RMM Lab? at the University of Michigan Medical School is expanding its research team and is in search of a skilled and diligent Data Architecture & Research Area Specialist Associate. Supervised by the principal investigator and mentored by senior faculty and staff in the department - the ideal candidate will collaborate with interdisciplinary team members and healthcare practitioners to advance Learning Health Systems research, with a special focus on information-processing systems management and analytics for surgical safety.

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.

Responsibilities*

• Data Architecture Leadership: Managing and coordinating the technical build, infrastructure development, and operational roll-out of comprehensive perioperative data systems, including pipeline coordination and preprocessing engineering. 
• Analytics & Knowledge Artifact Generation: Conducting descriptive and diagnostic analytics, generating data-driven hypotheses, and performing process tracing to surface patterns and anomalies in specific perioperative care delivery pathways. 
• Causal Inference & Predictive Modeling: Contributing to the design and development of predictive models, multivariate explorations, and evaluation of intervention impacts. 
• Decision Support System Design: Engineering and curating data and knowledge artifacts such as decision-support systems, dashboards, audit + alert mechanisms, and learning loop tools to embed insights into clinical workflows. 
• Project & Team Coordination: Assisting in project management activities, including coordinating research timelines, operational deliverables, and facilitating lab/study-team meetings as needed
  

Required Qualifications*

• Completion of a Master's degree or PhD in a relevant field (e.g., Statistics, Data Science, Engineering, Computer Science, Learning Health Systems).
• Demonstrated proficiency in data processing, wrangling, and statistical analysis with tools such as Python, R, SQL.
• Proven experience with building data pipelines, long-format datasets, and knowledge artifact design (e.g., dashboards, web-apps).
• Ability to apply data science methodologies to complex real-world data in high-stakes environments such as healthcare.
• Familiarity with Learning Health System (LHS) paradigms and foundational healthcare quality & patient safety concepts.
• Strong written and verbal communication skills, with experience translating technical findings to non-technical audiences.
• Excellent project management skills with at least 2 years of experience in coordinating technical infrastructure projects and research timelines.

Desired Qualifications*

• Demonstrable experience with Learning Health System (LHS) research and practice.
• Familiarity with data harmonization challenges and solutions
• Experience with electronic health records (EHR) data extraction and processing
• Statistical consulting experience or experience collaborating closely with clinical researchers.
• Previous experience in academic medical center environments

Modes 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.