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Description
The University of Chicago's Department of Pediatrics, Section of Biomedical Informatics, is seeking full-time faculty members at the rank of assistant professor to advance the department's clinical quality improvement, operational analytics, and clinical research informatics programs. Appointees will collaborate with clinicians, quality leaders, researchers, and operational teams to develop reproducible analytic pipelines; design patient cohorts, registries, and quality metrics; and translate EHR, laboratory, and operational data into actionable insights that improve clinical care and support the department's strategic goals.
Compensation is dependent upon qualifications. These positions are benefits eligible. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Faculty will play a key role in developing and optimizing clinical quality metrics. They will also construct and maintain sustainable informatics infrastructure, as well as design integrated reporting solutions that leverage Epic's ecosystem (e.g., Reporting Workbench, Registries, Radar dashboards, and Clarity reporting). Responsibilities will include creating and maintaining data pipelines for internal quality monitoring and external reporting requirements (such as eCQMs, accreditation metrics, and U.S. News & World Report submissions); analyzing workflows, resource utilization, throughput, and follow-up adherence; and integrating diverse clinical data sources to support decision-making at both the point-of-care and leadership levels. Additional responsibilities include teaching and supervising students, trainees, and fellows; providing methodological support for departmental research projects; and contributing to the design and evaluation of informatics tools used across the clinical enterprise.
Faculty will be expected to develop and sustain a scholarly research program aligned with the missions of the Section of Biomedical Informatics and the Department of Pediatrics. Areas of focus may include biomedical informatics, clinical data modeling, interoperability standards, and methods for transforming EHR and operational data into actionable knowledge. Appointees may pursue methodological work in semantic data modeling, HL7/FHIR standard development, clinical terminology harmonization, or scalable approaches to data interoperability, as well as applied research stemming from clinical quality initiatives, operational analytics, or data-driven workflow improvement.
Opportunities exist to collaborate with institutional partners including the Biological Sciences Division, the Center for Research Informatics (CRI), the Health Data Science Institute (HDSI), the Center for Personalized Therapeutics, the Pediatric Cancer Data Commons (PCDC), the Section of Genomics and Data Science within Pediatrics, and other University research initiatives such as the Institute for Translational Medicine (ITM) and the Institute for Population and Precision Health (IPPH).
Prior to the start of employment, qualified applicants must: 1) a doctoral degree (or equivalent) in biostatistics, statistics, biomedical informatics, computer science, applied mathematics, data science, or a related field by the start of appointment and, 2) Completed postdoctoral training prior to the start of employment.
We welcome applicants with experience in informatics, clinical quality analytics, advanced data modeling, EHR data extraction, or applied biostatistics. Candidates with experience developing informatics tools, EHR integrations, FHIR or interoperability solutions, and clinical-decision support workflows are strongly encouraged to apply. Preference will be given to candidates with demonstrated expertise in one or more of the following areas: analysis of large clinical datasets; development of clinical quality or operational metrics; building Epic-based clinical analytics solutions; interoperability standards (e.g., HL7, FHIR); biomarker or phenotype modeling; Bayesian or predictive modeling; or the analysis of genomics or other omics-scale data. Experience supporting clinical workflows and quality improvement initiatives are desirable.
To be considered, applicants must apply through The University of Chicago's Academic Recruitment job board, which uses Interfolio to accept applications: https://apply.interfolio.com/183666. Applicants must upload: a CV including bibliography and a cover letter. Review of complete applications ends when the positions are filled.
For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp.