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Faculty Position Opening: Department of Biomedical Informatics

Vanderbilt University School of Medicine
United Statesfull_timeVerifiedPosted 5 Oct 2024

About the role

Description

The Department of Biomedical Informatics (DBMI) at Vanderbilt University Medical Center (VUMC) is seeking a tenure-track faculty member with expertise in artificial intelligence and machine learning, clinical research informatics, and data privacy with applications to biomedical research infrastructure.

Information about the Department: 

DBMI is an internationally recognized leader in biomedical informatics, with strong relationships to academic departments in the university and the clinical operations of a large medical center. DBMI has an emphasis on interdisciplinary research, with a focus on health information technology development, clinical knowledge and workflow modeling, implementation sciences, machine learning and clinical decision support, biomedical data analytics (clinical, genomic and proteomic), and natural language processing, privacy and security.   

Among more than 90 faculty are multiple members of the National Academy of Medicine and more than a dozen members of the American College of Medical Informatics. DBMI faculty hold additional appointments in various departments, including anesthesiology, biochemistry, biomedical engineering, computer science, hematology and oncology, human genetics, internal medicine, and pediatrics.

DBMI faculty often create and maintain readily accessible, large-scale operational clinical information systems, through which new scientific hypotheses are tested and new technologies are deployed. VUMC has benefitted from over 15 years of using an integrated, longitudinal electronic patient charting system. This system, now the foundation of our enterprise architecture on which Epic EHR sits, also distributes data to a research data warehouse and DNA samples.

In addition to a robust set of conventional decision-support capabilities at the point of care, VUMC was the first center to include genetic information in EHR-driven clinical decision support through the computerized provider order-entry system and electronic prescribing application in order to guide providers to dose-selected medications according to a genome-informed model.  These advances have allowed VUMC to be known as a state-of-the-art laboratory for innovations that support population health, as recognized by groups such as PCORI, CMS, and the NIH, through ongoing funding to members of our DBMI and School of Medicine faculty.

Vanderbilt University Medical Center is an equal-opportunity, affirmative-action employer. Applications from women and members of under-represented minority groups are strongly encouraged. For more information, please visit the DBMI website at https://www.vumc.org/dbmi/

Qualifications

The successful applicant should have a computational background and experience working in the field of informatics.  There will be opportunities to pursue independent funding and contribute to new grant submissions, as well as contribute to projects that are managed by the various centers with strong ties to the department, Center for Health Data Science (HEADS), the Clinical Informatics Center (VCLIC), Center for Precision Health (CPM), and Center for Improving the Public’s Health Through Informatics (CIPHI).

Application Instructions

Applicants for this position should submit a cover letter, CV, and the names and contact information of a minimum of three references. The cover letter should describe the applicant's relevant qualifications and experience, as well as brief statements of research and teaching interests. 

If you have questions about the application, please reach out to Brad A. Malin, PhD, Accenture Professor of Biomedical Informatics, at b.malin@vumc.org.

Equal Employment Opportunity Statement

Vanderbilt Health recognizes that diversity is essential for excellence and innovation.  We are committed to an inclusive environment where everyone has the chance to thrive.

Vanderbilt Health is committed to the principles of equal opportunity and affirmative action.

EOE/AA/Women/Minority/Vets/Disabled

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Company

Vanderbilt University School of Medicine

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