Data Scientist

A Brief Overview

The Data Scientist supports administrative and clinical leaders and teams focused on achieving the Quadruple Aim. The individual in this role is responsible for executing projects that require the full data science pipeline including data integration of disparate and centralized data into data marts, data mining, statistical model development, advanced analytic methods, report / dashboard visualization and results presentation in support of strategic objectives. The Data Scientist will work closely with senior leaders and colleagues to identify opportunities, set objectives, and formulate analytic strategies that result in measurable impact to University Hospitals.

What You Will Do

• Lead the discovery and requirements gathering process with key clinical and business stakeholders to inform analytic plans
• Collaboratively co-create the discovery, design, development, deployment, optimization, and maintenance of advanced analytics and data science techniques to enrich disparate datasets to craft data-driven interventions aimed at achieving the Quadruple Aim.
• Research, design, develop and implement statistical models, and advanced analytics to support key strategic initiatives.
• Develop and deploy innovative analytic solutions for simplistic Analytics-As-A-Service Business Intelligence dashboards, rapid-fire flash reports directly to clinical and operational colleagues and / or other customized reporting distribution solutions.
• Visualize data in creative ways that brings data and insights to life and is consumable in the business and operational workflow of end-users
• Creatively utilize diverse data sources, such as electronic health record data, insurance claims data, scheduling and financial data, social determinants of health data and any other relevant sources that help support UH Clinical Transformation and System Operations Strategy.
• Develop purpose-driven data marts in Alteryx and SQL environments (on premise and Microsoft Azure).
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Collaborate with IT to support data architecture of diverse datasets that support clinical integration by converging these disparate data systems into repositories fit for algorithmic development and model training.
• Evaluate business performance and dynamically monitor critical operational measures related to shared savings arrangements and other value-based programs with governmental and commercial payors.
• Propose and develop novel solutions to UH data science problems, demonstrate and evaluate the feasibility of these solutions and continuously adapt these solutions to integrate into the context of real-world clinical care.
• Support the creation of analytics and scientific exploration related to risk modeling, financial performance and quality of care for managed populations.
• Create technical interfacing to deploy simplified analytics directly to provider portal(s), / websites, or mobile applications to enhance the UH clinical and business processes.
• Develop documentation, software, support tools, and technology infrastructure to enhance the ability of analysts and operational leaders across the clinical enterprise to effectively and rapidly extract meaning from health care data.
• Develop processes and tools to monitor and analyze analytical model performance and data accuracy; provide ad-hoc analysis and visualizations.
• Engage, mentor, co-create, cross-train, and learn from data science and analytical colleagues to promote a collaborative environment with applied process learning.
• Maintain fluency in existing and emerging data science technologies and complete online coursework or independent study to fill in gaps of knowledge as needed to manage and execute innovation projects.
• Serve as the technical lead focused on creative use of diverse data sources, such as electronic health record data, insurance claims data, scheduling and financial data, social determinants of health data, and any other relevant sources that help support the UH clinical and business processes.

Additional Responsibilities

Qualifications : Education

Work Experience

Knowledge, Skills, & Abilities

Physical Demands

Travel Requirements