Professor or Associate Professor without Tenure and Chief Data Officer (CDO)

Seattle, OR - USA

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

The Department of Biomedical Informatics and Medical Education (BIME) at the University of Washington (UW) is looking for a full-time faculty at the Professor Without Tenure (Job Code 0111) or Associate Professor Without Tenure (Job Code 0112) levels with an anticipated start date as early as March 1 2026. The new faculty will serve as UW MedicineChief Data Officer (CDO) and join our current faculty and students in growing both the scholarship and practice/service aspects of our informaticsdataanalyticsandrelatedAIprograms. The effort will be distributed across the following areas: 30% FTEmaintainingan independent research program 70% FTE serving asCDOfor UW Medicine.Optional Clinical Practice is available (up to 10%): candidates would be appointed to theappropriate clinicaldepartment such as Medicine Surgery Family Medicine Pediatrics or otherappropriate clinicaldepartment with a joint appointment in BIME.This faculty position works closely with eleven other BIME faculty who also engage in operationalroles within UW Medicine IT Services(UWM ITS)in areas of clinical informatics analytics and clinical/translational research informatics.

ScholarshipPracticeand TeachingContext:University of Washington faculty engage in teachingresearchand service.Overall the position is envisioned as 70% FTE practice of data/analytics/AI and 30% FTE between grant fundedscholarship. Teaching roles are envisioned to include guest lectures and seminars as well asadvisingbiomedicalinformaticsgraduate students and postdocs.

Research and practice activities will build on existingdata analytics text mining and AIscholarshipand practice in the context of a)UWM ITSinfrastructurewhichincludes the Epic Cogito analytics stack participation in Epic Cosmos anda 30 year longitudinal UW Medicine Enterprise Data Warehousewhich isupdated daily(tiered bronze silver gold type architecture)b)the UWM federatedanalyticsmodel (20 UWM ITS analysts 80 UWMaffiliateddevelopers) c) the analytics infrastructure and data services team(70 FTE) d) the UWCTSA (the Institute of Translational Health Sciences)and UWM Research IT groupse) our clinical computing operations group (UW Medicine Information Technology Services UWM ITS)the Institute for Medical Data Scienceg) the ongoing research and educational programs in the BIME department.

UW MedicineChief Data Officer Role:The Chief Data Officer (CDO)serves as the senior executive leader responsible for advancing UW Medicines enterprise analytics data governance dataintegrationand artificial intelligence strategy. This role ensures that UW Medicines extensive data assets areleveragedto drive strategic decision-making operational excellence patient-centeredcareinnovationresearchand education. As the institutional leader for data and AI theCDOdefines the vision for a data-driven organization ensuring that actionable insights directly support UW Medicines mission of improving the health of the public. TheCDOoversees the healthcare data and analytics group within UW Medicine IT Services providing executive and technical leadership for data warehousing reporting decisionsupport AI/ML systems and advanced analytics capabilities. TheCDOdirectsa high-performingITanalytics organization of approximately 70 FTEs including the Director of Analytics managersand technical leadership staff. The position partners closely with the CIOUW Medicineexecutive leadershipclinical and researchfacultyand stakeholders(including the Chief Research Information Officer)to ensure that analytics and AI investmentsaround analyticsalign with and support the strategic initiatives of the organization andyield measurable improvements in quality safety performanceinnovationand discovery.

CDOKey Responsibilities

Strategic Responsibilities

Enterprise Analytics Leadership:Shape and execute an enterprise-wide strategy for data analytics and AIusing or supporting analyticsthatanticipatesand meets organizationalcustomerneeds enable evidence-based decision-making and aligns with UW Medicines mission strategic plan. Enable UW Medicine to easily generate and use trusted data to improve health via actionable information.

Stakeholder Value Creation:Serve asanexecutive partner to clinical research operational and educational leaders toidentifykey performance questions deliver analytic insights and translate data into measurable institutional impact. Establish clear frameworks for analytics prioritization governance and performance measurementin partnership with stakeholders across the organization.

Strategic Planning:Lead the development of the next multi-year strategic plan for data analytics and AI(particularly as used by and depending on analytics) integrating governance and technology modernization to strengthen UW Medicines position as a national leader in healthcare analytics

Innovation & Advanced Analytics: Guide the designdeploymentand evaluationof advanced analytics machine learning andrelatedgenerative AI capabilities that enhance clinical and operational decision-making population health managementclinical/translational research and education.Participate in the Innovation Coreexecutive governance.

Collaboration & External Engagement:

Foster partnershipsaround analyticsfor clinical care operationsresearchand educationacross UW Medicine entities (Harborview UW Medical Center Montlake and Northwest UW Primary Care UW Physicians School of Medicine Airlift Northwest and other affiliates) and external clinical and research partners. Enable securecompliantethical data sharingforparticipation in multi-institutional analytics andanalytics relatedAI collaborations.Key executive stakeholders include but are not limited to the Dean of the School of Medicine who is also CEO of UW Medicine thePresident UW Medicine Hospitals & ClinicstheExecutive Vice Dean UW School of Medicine the UW Medicine Chief Medical Officer the UW Medicine Chief Quality Officer and the UW Medicine Chief Finance Officer.

Operational Responsibilities

Analytics Program Oversight: Lead majorITanalytics and infrastructure programs including Epic Cogito Cosmos the Enterprise Data Warehouse (DAWG) data archiving cloud modernization initiatives and customer service improvements.

Population Health Analytics:Enable analytics for health equity community health outreach andpopulation health initiatives through curated data sets

Enterprise Data StewardshipGovernance & Compliance:Chair or co-chair enterprise data governance and AI oversight committees.Serve as the accountable authority for institutional data integrityqualitystandardizationinteroperability and compliance.Ensure data accuracy security and privacy.Ensure that all analytics and AI activities align with institutional policy federal regulations and ethical standards(e.g.HIPAA FERPA).Champion ethical AI through transparency frameworks.

TeamandTalent Development:Build and sustain a high-performing analytics organization that attracts andretainstop data AIcustomer serviceand engineering talent. Foster a collaborative mission-driven culture of innovation learning and accountability.

Fiscal Management:Develop and manage capital and operating budgets for analytics andanalytics relatedAI programs. Direct investments in data platforms analytic tools and workforce development to maximize institutional ROI.

Reporting Structure:TheCDOreportsa)academically to the Chair of Biomedical Informatics and Medical Education (BIME)and b)operationally to the Chief Information Officer (CIO)with dotted-line accountability to the UW Medicine and School of Medicine executive leadership(i.President UW Medicine Hospitals & Clinics ii.Executive Vice Dean UW School ofMedicine).

Department of Biomedical Informatics and Medical Education:The department is seeking multidisciplinary faculty with backgrounds in foundational and/or applied biomedical informatics research who are interested ininformaticsscholarshipteachingand practice in a highly collaborative academic setting. We are seeking candidates with an understanding of the needs of theUW Medicineresearchteachingand practicecommunity as well as what it takes to run an IT service line.The Department consists of over 25core faculty and over 50 extended facultyrepresenting27 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 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) the joint (with School of Nursing) applied MS in Clinical Informatics and Patient Centered Technologies (CIPCT) and the joint (with the Department of Family Medicine) ACGME accredited clinical informatics fellowship led by BIME. The CIPCT program is a fully on-line program that forms the core of the didacticcomponentof our clinical informatics fellowship. Whereappropriateour faculty aim to translate our foundational and applied scholarship into practice at the UW and partner institutions within our operational clinical analytics 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 of research informatics.

Salary

The base salary range for this position will be $16594to $43750per month(199K-525Kannually) for a 12 month appointmentcommensuratewith experience and qualifications or as mandated by a U.S. Department of Labor prevailing wage determination.

Required Qualifications

Candidates must have a PhD (or foreign equivalent) inbiomedicalinformatics or another relevant discipline(e.g.Data Science Computer Science). An MD (or foreign equivalent) with relevant significant formal biomedical informatics-related training scholarship and practice is also acceptable.

This position is not eligible for visa sponsorship

Candidates must have a grant funded research portfolio relevantbroadly to data scienceanalyticsand/or artificial intelligence. Examples of relevant research areas include one or more of the following (but are not limited to):data sciencedatabase researchdata integrationdata modelling data visualization knowledge representationadvanced machine learning and data analytics approachesartificial intelligence generative AI large language modelsbig data eScience

Candidates must also have at least 5 years of documented experience with the practice ofdata analytics and/oroperational AIrelated to analytics(e.g. management oflarge-scaleenterprise data warehouses data governance and security delivery of data services for operations and research operational AI systems generative AI large languagemodels). This experience should include working across academic research andclinical andoperational sides of a health care system and communicating with a wide range of leadership andstakeholders in data and analytics (health systemcliniciansresearchers educators).

Candidates must have at leasttwoyears of documented leadership experience in operationaldata analytics and/oroperationalanalytics relatedAIin support oftheclinicalresearchand educational missions of an academic medical center and school of medicine (e.g.Chief Data Officer ChiefAnalyticsOfficer).

Other positive factors for consideration

Ideally candidates will have 10 years ofdemonstratedanalyticsITleadership (e.g.Chief Data Officer Chief Analytics Officer).

Highlydesirableexpertiseinbiomedical data science machine learning biomedical artificial intelligence and/or large language models and generative AI systems(particularly those needing or supporting analytics).

Ideally candidates willdemonstratehaving led a team to develop and deliver necessary and forward-thinkingdata and analyticsIT services.

Other welcomed attributes include non-informatics research experience strong computingexpertise anda track recordof multidisciplinary collaboration.

Other desired attributes include a thorough understanding of analytics in a complex clinical environment

Experience teaching informaticsand/or data science and/or health AIto diverse audiences including graduate students and an interest in educational theories are welcomed attributes.

Experience mentoring and/or teaching MS PhD and postdoc students inthe biomedicalinformaticsand/or data science and/or health AIdomain is a welcomed attribute.

Required Experience:

Chief