Overview
Remote
On Site
Full Time
Skills
Innovation
Partnership
Spectrum
Management
Network
Accessibility
Collaboration
Recruiting
Data Modeling
Dashboard
Data Science
Analytical Skill
Decision-making
Information Systems
Analytics
Data Governance
Database Design
Application Development
Microsoft SQL Server
Microsoft SSIS
VBA
ODBC
Amazon Web Services
Electronic Health Record (EHR)
Reporting
Business Intelligence
Data Architecture
Technical Writing
End-user Training
Mathematics
Statistics
Informatics
Epidemiology
Research
Data Analysis
Health Care
Performance Metrics
HEDIS
MIPS Architecture
Predictive Analytics
Machine Learning (ML)
Algorithms
Job Details
Overview
Virginia Mason Franciscan Health has a rich history of providing exceptional healthcare, dating back to 1891. Building upon a legacy of compassionate care and innovation, our organization has evolved over the years through strategic partnerships and integrations to expand our reach and services across the Puget Sound area.
Today, as Virginia Mason Franciscan Health, we remain deeply committed to healing the whole person - body, mind, and spirit - in the communities we serve. This commitment is strengthened by the diverse expertise and shared values brought together through our growth.
Our dedicated providers offer a full spectrum of health care services, from routine wellness to complex disease management, all grounded in rigorous research and education. Our comprehensive network of 10 hospitals and nearly 300 care sites strategically located across the greater Puget Sound region reflects our ongoing commitment to accessibility and comprehensive care.
We are proud of our pioneering medical advances and numerous awards and accreditations that reflect our dedication to excellence. When you join Virginia Mason Franciscan Health, you become part of a team that delivers top-quality, professional healthcare in modern, well-equipped facilities, and contributes to a legacy of service built on collaboration and shared purpose.
Responsibilities
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.
Work requires knowledge of hierarchical and relational database design and application development including but not limited to SQL server, SSIS, VBA, ODBC, AWS. Also requires familiarity with EMR reporting and business intelligence tools and expertise with respect to data architecture, technical documentation and end-user training/support.
Qualifications
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.
Virginia Mason Franciscan Health has a rich history of providing exceptional healthcare, dating back to 1891. Building upon a legacy of compassionate care and innovation, our organization has evolved over the years through strategic partnerships and integrations to expand our reach and services across the Puget Sound area.
Today, as Virginia Mason Franciscan Health, we remain deeply committed to healing the whole person - body, mind, and spirit - in the communities we serve. This commitment is strengthened by the diverse expertise and shared values brought together through our growth.
Our dedicated providers offer a full spectrum of health care services, from routine wellness to complex disease management, all grounded in rigorous research and education. Our comprehensive network of 10 hospitals and nearly 300 care sites strategically located across the greater Puget Sound region reflects our ongoing commitment to accessibility and comprehensive care.
We are proud of our pioneering medical advances and numerous awards and accreditations that reflect our dedication to excellence. When you join Virginia Mason Franciscan Health, you become part of a team that delivers top-quality, professional healthcare in modern, well-equipped facilities, and contributes to a legacy of service built on collaboration and shared purpose.
Responsibilities
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.
Work requires knowledge of hierarchical and relational database design and application development including but not limited to SQL server, SSIS, VBA, ODBC, AWS. Also requires familiarity with EMR reporting and business intelligence tools and expertise with respect to data architecture, technical documentation and end-user training/support.
Qualifications
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.