MedStar Health
Principal Data Scientist
MedStar Health, Columbia, Maryland, United States, 21046
General Summary of Position
The Principal Data Scientist supports and leads clinical quality and safety innovation and projects using data science techniques and technologies and serves as a subject matter expert across the enterprise. Leads activities necessary to provide analyses of qualitative and quantitative quality and health-related data sources, including (but not limited to) developing innovative approaches to discovery, machine learning and natural language processing, qualitative data analyses, methods to uncover subtle associations and causal factors, data management, mapping across multiple data sources, analysis, interpretation, and reporting related to patient safety via a variety of databases. Conducts outcome reporting and driver analyses for all MedStar Health quality and safety programs using database systems to support quality improvement across the enterprise. Analyzes targeted acute and non-acute datasets that identify both system-wide and site-specific trends and areas for improvement. Utilizes predictive analytics to identify the likelihood of future outcomes. Leads a team of junior data scientists and provides mentorship to other data & analytics associates across the system.Primary Duties and Responsibilities:Contributes to the achievement of established department goals and objectives and adheres to department policies, procedures, quality standards, and safety standards. Complies with governmental and accreditation regulations.Data Sources: Understands and becomes proficient in relevant MedStar and external data sources and systems including but not limited to electronic health record data, CRISP and Vizient databases. Utilizes appropriate data sources, definitions, and integration for analysis as appropriate. Understands the limits of use for each data source as well as the differences between similar elements in different data sets.Presentation of Data: Develops written and graphic presentations of information for MedStar associates. Using creative and adaptive thinking skills, designs and creates a wide range of polished, engaging, innovative and relevant reports, briefs, presentations and visualizations that present large amounts of information in ways that are universally understandable, easy to interpret, and communicate compelling stories to diverse audiences to inform decision-making and support quality and safety related improvement projects.Leads a team of Junior Data Scientists. Supports other associates by providing ad hoc data science assistance. Develops junior staff, acts as a technical consultant to product managers, and is valued as an asset to data science projects across the enterprise.Uses software analysis tools such as SAS, R, Python, SQL, and data visualization tools to report, analyze and interpret healthcare data; provides data support and responds to ad-hoc requests for customized data queries, reports, and analyses with an understanding of details related to government and private quality programs.Leads the discovery of innovative approaches towards MedStar Health's quality and safety mission, and the development and implementation of new data-driven tactics.Participates in meetings and on committees and represents the department and hospital in community outreach efforts.Participates in multi-disciplinary quality and service improvement teams.Minimum Requirements:Master's Degree in Data Science, Information Science, Statistics, Mathematics, Computer Science or other quantitative field.5 plus years of related data science experience, preferably in a relevant health care setting.2 plus years of supervisory experience, preferred.Advanced proficiency with common data science toolkits, such as R, SAS, Python, SQL, etc., to manipulate data and draw insights from large healthcare data sets, required.Advanced proficiency with data visualization tools, such as Tableau or Business Objects, to convey insights to disparate audiences, required. Ability to communicate effectively, both oral and written, and favorable interpersonal skills are necessary to interact with a wide range of technical and non-technical associates including senior system and entity leaders and chiefs, required.Business savvy. Understands parallelization, scalability, and complexity analysis. Shapes data products in alignment with corporate strategy and provides data insights leading to business directions.This position has a hiring range of $122,948 - $201,427.
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The Principal Data Scientist supports and leads clinical quality and safety innovation and projects using data science techniques and technologies and serves as a subject matter expert across the enterprise. Leads activities necessary to provide analyses of qualitative and quantitative quality and health-related data sources, including (but not limited to) developing innovative approaches to discovery, machine learning and natural language processing, qualitative data analyses, methods to uncover subtle associations and causal factors, data management, mapping across multiple data sources, analysis, interpretation, and reporting related to patient safety via a variety of databases. Conducts outcome reporting and driver analyses for all MedStar Health quality and safety programs using database systems to support quality improvement across the enterprise. Analyzes targeted acute and non-acute datasets that identify both system-wide and site-specific trends and areas for improvement. Utilizes predictive analytics to identify the likelihood of future outcomes. Leads a team of junior data scientists and provides mentorship to other data & analytics associates across the system.Primary Duties and Responsibilities:Contributes to the achievement of established department goals and objectives and adheres to department policies, procedures, quality standards, and safety standards. Complies with governmental and accreditation regulations.Data Sources: Understands and becomes proficient in relevant MedStar and external data sources and systems including but not limited to electronic health record data, CRISP and Vizient databases. Utilizes appropriate data sources, definitions, and integration for analysis as appropriate. Understands the limits of use for each data source as well as the differences between similar elements in different data sets.Presentation of Data: Develops written and graphic presentations of information for MedStar associates. Using creative and adaptive thinking skills, designs and creates a wide range of polished, engaging, innovative and relevant reports, briefs, presentations and visualizations that present large amounts of information in ways that are universally understandable, easy to interpret, and communicate compelling stories to diverse audiences to inform decision-making and support quality and safety related improvement projects.Leads a team of Junior Data Scientists. Supports other associates by providing ad hoc data science assistance. Develops junior staff, acts as a technical consultant to product managers, and is valued as an asset to data science projects across the enterprise.Uses software analysis tools such as SAS, R, Python, SQL, and data visualization tools to report, analyze and interpret healthcare data; provides data support and responds to ad-hoc requests for customized data queries, reports, and analyses with an understanding of details related to government and private quality programs.Leads the discovery of innovative approaches towards MedStar Health's quality and safety mission, and the development and implementation of new data-driven tactics.Participates in meetings and on committees and represents the department and hospital in community outreach efforts.Participates in multi-disciplinary quality and service improvement teams.Minimum Requirements:Master's Degree in Data Science, Information Science, Statistics, Mathematics, Computer Science or other quantitative field.5 plus years of related data science experience, preferably in a relevant health care setting.2 plus years of supervisory experience, preferred.Advanced proficiency with common data science toolkits, such as R, SAS, Python, SQL, etc., to manipulate data and draw insights from large healthcare data sets, required.Advanced proficiency with data visualization tools, such as Tableau or Business Objects, to convey insights to disparate audiences, required. Ability to communicate effectively, both oral and written, and favorable interpersonal skills are necessary to interact with a wide range of technical and non-technical associates including senior system and entity leaders and chiefs, required.Business savvy. Understands parallelization, scalability, and complexity analysis. Shapes data products in alignment with corporate strategy and provides data insights leading to business directions.This position has a hiring range of $122,948 - $201,427.
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