Biomedical Informatics and Medical Education – Assistant or Associate Professor WOT (AA20539)


Position Overview


Organization: School of Medicine, Biomedical Informatics and Medical Education

Title : Assistant Professor without Tenure, Associate Professor without Tenure

Search Number : AA20539


Position Details


Clinical Informatics Fellowship Program

Position Details

The Department of Biomedical Informatics and Medical Education (BIME) at the University of Washington (UW) is looking for two full-time faculty at the Assistant Professor Without Tenure (Job Code 0113) or Associate Professor Without Tenure (Job Code 0112) level to join our current faculty in growing an ACGME-accredited clinical informatics fellowship program which started enrolling fellows in July 2016. This position will work closely with the Director of the Clinical Informatics Fellowship. Responsibilities include: a) expanding our basic and applied biomedical informatics research program (approximately 40-60% effort), b) serving as core faculty in the clinical informatics fellowship program (approximately 20% effort), c) working within UW Medicine Information Technology on operational clinical informatics projects within the health system (approximately 20% effort), d) clinical practice if applicable (approximately 20% for physician applicants). The position is part of a broader effort which includes recruitment of faculty in the areas of Analytics, Clinical Informatics, Clinical Research Informatics, and Genomic Medicine/Translational Bioinformatics.

The BIME Department consists of 32 core faculty and 57 extended faculty representing 24 departments across the University engaged in a broad range of foundational and applied biomedical informatics research, as well as scholarship and practice activities around medical education. In addition to an active informatics research program, the Department faculty are responsible for the operation, evaluation and refinement of the Biomedical Informatics research training programs (MS, PhD, Postdoc with currently 64 trainees), the NIH NLM informatics research training grant, and the joint (with School of Nursing) applied MS in Clinical Informatics and Patient Centered Technologies (CIPCT, currently 55 active students). The CIPCT program is a fully on-line program that serves as didactic foundation of our clinical informatics fellowship. Where appropriate, our faculty aim to translate our foundational and applied scholarship into practice at the UW and partner institutions within our operational clinical and research computing groups. It is expected that new faculty will engage in a similar range of activities including informatics research, teaching, and the practice and teaching of clinical informatics.

BIME is seeking multidisciplinary faculty with backgrounds in foundational and/or applied biomedical informatics research who are interested in informatics scholarship, teaching and practice in a highly collaborative academic setting, with informatics service in our UW clinical and research computing groups. Applicants require an M.D. or Ph.D. (or foreign equivalent) in a related discipline. M.D. candidates must also have medical specialty board certification or eligibility, clinical practice expertise, and be board certified or board eligible in clinical informatics (or foreign equivalent); and have an active clinical practice.  Candidates must have a record of published research relevant to clinical informatics. Relevant research includes but is not limited to: clinical informatics, consumer health informatics, electronic health records, patient portals, knowledge representation, decision support systems, data visualization, human computer interaction, evaluation of systems, and/or field research. Candidates must also have some experience with the practice of clinical informatics (e.g. production clinical information systems, ideally with firsthand knowledge of more than one electronic health record system). The position is especially suitable for candidates who have a record of translating informatics research and innovations into the clinical informatics practice setting. Experience teaching informatics to health sciences students and an interest in pedagogy are welcomed attributes. In order to be eligible for University sponsorship for an H-1B Visa, graduates of foreign (non-US) medical schools must show successful completion of all three steps of the U.S. Medical Licensing Exam (USMLE), or equivalent as determined by the Secretary of Health and Human Services.

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sex, age, status as protected veterans, or status as qualified individuals with disabilities. At the University of Washington, diversity is integral to excellence. We value and honor diverse experiences and perspectives, strive to create welcoming and respectful learning environments, and promote access, opportunity and justice for all.

Please direct any questions regarding these positions to bhihires@uw.edu.

Application Instructions

Interested applicants should submit the following to bhihires@uw.edu:

  • A letter of intent/personal statement highlighting their interests, background, practical experience and career goals pertaining specifically to the research, teaching and service/practice roles in the area of clinical informatics outlined above.
  • The letter should include experiences with diversity in training, professional work, previous teaching, and/or in service, and describe the candidate’s potential to foster diversity in the Department of Biomedical Informatics and Medical Education and the field.
  • A CV (including references/letter writers)
  • A statement of teaching interests or teaching philosophy.

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.