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Clinical Data Scientist

VMFH Division Support Services Tacoma, Washington

The posted compensation range of $40.58 - $58.84 /hour is a reasonable estimate that extends from the lowest to the highest pay CommonSpirit in good faith believes it might pay for this particular job, based on the circumstances at the time of posting. CommonSpirit may ultimately pay more or less than the posted range as permitted by law.

Requisition ID 2022-277261 Employment Type Full Time Department Clinical Data Analytics Hours/Pay Period 80 Shift Day Weekly Schedule 8am to 5pm Remote No Category Clinical Informatics

Virginia Mason Franciscan Health brings together two award-winning health systems in Washington state  CHI Franciscan and Virginia Mason. As one integrated health system with the most patient access points in western Washington, our team includes 18,000 staff and nearly 5,000 employed physicians and affiliated providers. At Virginia Mason Franciscan Health, you will find the safest and highest quality of care provided by our expert, compassionate medical care team at 11 hospitals and nearly 300 sites throughout the greater Puget Sound region.  While you’re busy impacting the healthcare industry, we’ll take care of you with benefits that include health/dental/vision, FSA, matching retirement plans, paid vacation, adoption assistance, annual bonus eligibility, and more!

While you’re busy impacting the healthcare industry, we’ll take care of you with benefits that mayinclude health/dental/vision, FSA, matching retirement plans, paid vacation, adoption assistance, annual bonus eligibility, and more!



This job is responsible for staffing/leading collaborative efforts to design, develop, test, implement and maintain data modeling and analytics solutions for use in clinical, quality and population health improvement.  Work includes representing data in contexts to include reports, dashboards, quantitative analytic models and interactive analysis tools.  An incumbent will conceptualize and develop analytic solutions to help address Virginia Mason Franciscan Health’s (VMFH) complex challenges using a variety of data science, analytic techniques, and tools.  Work includes anticipating and supporting the information needs of VMFH clinical and business partners, enabling data-driven decision-making, and contributing to a culture of collaborative analytics throughout the organization.  Working with front-line clinicians, administrative leaders and information systems personnel, an incumbent will expand advanced clinical analytics capabilities and relevant components of the data and analytics infrastructure while maintaining high standards of data governance in alignment with industry and regulatory standards.

Essential Job Functions:

  • Collaborates, designs, develops, tests, deploys and maintains clinical dashboards, reports, data access tools and analytic models that integrate a wide range of clinical, operational, outcome, and financial data; effectively communicates results of complex analyses to diverse stakeholders.
  • Facilitates data-influenced decision making across VMFH; creates actionable insights from data to assist all levels of management and clinical leadership in making key business and clinical quality decisions.
  • Strives to become a recognized internal subject matter expert and consultant on clinical, quality, data governance and population health data and data sources.
  • Develops, validates, applies and maintains scalable data models including visualizations, statistical models and predictive/prescriptive (machine learning) models.


Education/Work Experience Requirements

Bachelor’s degree in a quantitative discipline (BS in mathematics, statistics, health services research, informatics, epidemiology or research-oriented MPH) and three years of related work experience in quantitative data analysis, including one year in a healthcare context. 

Master’s degree and experience working with industry standard clinical quality measures and pay-for-performance metrics (e.g. HEDIS, NQF, PQRS, MACRA-MIPS, CMS/Joint Commission eCQM, etc.) and development/application of predictive analytics (e.g. developing and validating machine learning algorithms) are strongly preferred.

Or any equivalent combination of education and experience which provides the required knowledge, skills and abilities to perform the essential functions of the position.




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