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Vice Chair of Informatics, Assistant, Associate, or Full Professor without tenure (WOT) in Radiology

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Position Description

The Department of Radiology in the School of Medicine at the University of Washington in Seattle is recruiting for one full-time (100% FTE) faculty position at the level of Assistant Professor, Associate Professor, or Professor without tenure (WOT) by reason of funding, commensurate with experience, to join the department with an anticipated start date of November 1, 2022.    Assistant Professors WOT are eligible for multi-year appointments that align with a 12-month service period (July 1-June 30).  Associate Professors WOT and full Professors WOT hold indefinite appointments that align with a 12-month service period  (July 1-June 30).  Faculty with 12-month service periods are paid for 11 months of service over a 12-month period (July-June), meaning the equivalent of one month is available for paid time off.

As Vice Chair of Informatics for the Department of Radiology, this role will work closely with the Chair, Section Chiefs, and other Vice Chairs of the department.  Some of the administrative responsibilities included for this role are to optimize the faculty’s utilization of the imaging services informatics, assist in strategic planning for informatics in the department, and aid in implementing quantitative indicators for systems utilization and productivity.


Candidates should meet the following requirements:

  • M.D. or D.O., or foreign equivalent, in medicine and eligibility for full medical licensure in Washington State
  • ABR-certified in Radiology, ABR board-eligible, or foreign equivalent
  • Successful completion of the Diagnostic Radiology Residency in an ACGME accredited program or equivalent
  • Excellence in academic achievement as demonstrated by a record of scientific presentation and/or publications
  • Positive factors for consideration include, but are not limited to, fellowship training in Abdominal Imaging or Neuroradiology, or experience working in Abdominal Imaging or Neuroradiology.


The Department of Radiology has an enviable track record of innovative, effective and transformative imaging informatics expertise. The post holder will oversee a strong team of radiologists with a mature interest in informatics to continue this trajectory.

The post holder will also assume the Radiology leadership position in the new UW Institute for Medical Data Science (IMDS). In this role, the successful candidate will be part of the IMDS Advanced Diagnostic Program.   this trajectory. Together with representation from UW Medicine IT, the Vice Chair will lead a robust cohort of projects in the form of EMR/PACS optimization, next generation radiology reports, clinical decision support, radiology analytics, natural language processing, AI implementations and integrated industry relationship. The Vice Chair is charged with coordinating UW Radiology’s mission to deliver a centralized administrative imaging IT structure that provides the springboard for innovation, the facilitation of programmatic development, supports radiology operations and reduces inefficiencies. 


The list below is meant to be illustrative. It is expected that the weighting of each component will depend on the interests and experience of the VC of Informatics. 

  • Clinical development and support of infrastructure for UW Radiology across multiple sites. Includes forward-looking aspects with new PACS RFP. 
  • Partnership with UW Medicine IT. 
  • R&D: At multiple levels: As a PI, within Radiology, with other UW groups (i.e. IMDS described below), with industry, local companies, and professional societies. 
  • Education: Both internal to trainees, faculty and research staff, and eternally. 

University of Washington and UW Medicine research areas relevant to AI and data science

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[su_spoiler title="Current Radiology-Specific Research" open="no" style="default" icon="plus" anchor="" anchor_in_url="no" class="rad-accordion"]

  • NIH funded PIs: P. Kinahan, C. Lee, J. Jarvik, S. Partridge, T Grabowski, C. Yuan
  • Industry research: Philips Center of Excellence in Radiology AI with committed funding, GE, United Imaging, Canon, AIdoc, others.
  • Society partnerships: ACR (Data Science Institute), MIDRC, RSNA, AAPM, AUR, Ideally SIIM.
  • Other UW Radiology IT research support efforts.
  • Research PACS (aka IRIS) as departmental support.


[su_spoiler title="UW Institute for Medical Data Science (IMDS)" open="no" style="default" icon="plus" anchor="" anchor_in_url="no" class="rad-accordion"]

  • The mission of this emerging program to advance UW’s capacity for discovery and application of artificial intelligence and data science technologies to improve biomedical research, cost optimized healthcare delivery, provider and patient satisfaction and the health of the population.
  • Leadership departments:
    • School of Medicine: Biomedical Informatics, Biostatistics, Radiology, UW Medicine Research IT
    • College of Engineering: Computer Science, Electrical Engineering, Mechanical Engineering
  • Platforms:
    • Data platform
    • Integrated AI platform
    • Health systems integration
    • Governance of method prioritization and implementation
  • Programs:
    • Medical Data Science for technological innovations for discovery 
    • Medical Data Science for diagnostics 
    • Medical Data Science for transformation of clinical care delivery 
    • Medical Data Science for business and healthcare operations 
    • Understanding societal impacts of Medical Data Science in healthcare 
    • Educating about Medical Data Science

[su_spoiler title="Institute for Health Metrics and Evaluation (IHME)" open="no" style="default" icon="plus" anchor="" anchor_in_url="no" class="rad-accordion"]

IHME is an independent population health research organization based at the UW School of Medicine since 2007. Now there are more than 600 faculty and staff that work with global collaborators to develop timely, relevant, and scientifically valid evidence that illuminates the state of health everywhere. Global Burden of Disease (GBD) data are freely available to the world’s researchers and policymakers. In 2017, IHME received a second investment of $279 million from the Bill & Melinda Gates Foundation for work over the next decade.

[su_spoiler title="eScience Institute" open="no" style="default" icon="plus" anchor="" anchor_in_url="no" class="rad-accordion"]

The eScience Institute was established in 2008 as the UW hub for data-intensive discovery and computational knowledge extraction in all fields of science and engineering. UW hosts the eScience Institute as a virtual organization across campus and provides the data center facility housing the computational platforms designed and deployed by the Institute.

[su_spoiler title="CoMotion" open="no" style="default" icon="plus" anchor="" anchor_in_url="no" class="rad-accordion"]

CoMotion is the UW collaborative innovation hub for expanding the economic and societal impact of the UW community. By developing and connecting to local and global innovation ecosystems, CoMotion helps innovators achieve the greatest impact from their ideas and discoveries.


  • #1 Most innovative public university in the world (Reuters 2019)
  • #7 Best university in U.S. for technology transfer (Milken Institutes 2017)
  • #2 in U.S. for number of licenses granted by a university (Association of University Technology Managers 2019)
  • #23 in universities globally with U.S. utility patents (National Academy of Inventors and the Intellectual Property Owners Association 2020)

[su_spoiler title="UW Research Programs in AI and Data Science in Healthcare" open="no" style="default" icon="plus" anchor="" anchor_in_url="no" class="rad-accordion"]

We have identified >90 projects in Medical Data Science in Healthcare ongoing at UW. A number of these projects are funded by the NIH, industry sponsors and other means. We have an ongoing workstream with UW Medicine Development. Project areas include:

  • Image Based Advanced Diagnostics and Screening Using AI
  • Application Of Machine Learning To Improve Emergency, Perioperative, And Intensive Care
  • Detecting Disequity and Disparities of Populations at UW Medicine Using Data
  • AI based telehealth routing to most appropriate provider
  • Auto explanations from predictions in interventions to assist providers
  • Data driven identification of the diagnostic odyssey
  • Clinical Population Health Surveillance Using AI
  • Rational and manageable decision support using AI
  • Enabling access to underserved or lost populations
  • Outpatient, visit-free disease management using AI
  • Improving Patient-Provider Communication and Documentation Using AI
  • Investigation of novel devices for rapid diagnostics and remote examination for telehealth


Core UW Radiology clinical areas 

  • Program for offsite reading of UW radiology studies 
  • Liaison for UW Medicine radiology IT team - this also includes multiple sites 
  • Lead for communications and tools for communication with providers and staff at UW Medicine 
  • UW Medicine Critical Results Committee 
  • Multi-departmental IT physician leadership meetings 
  • Epic Radiant lead 
  • Next generation PACS system lead