Associate Data Scientist

University Hospitals is seeking an Associate Data Scientist to support healthcare analytics and clinical transformation initiatives. The role manages projects across the data science pipeline, including data integration, statistical modeling, reporting automation, visualization, and deployment of analytic solutions to improve the value of care.

What you'll 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

What they're looking for:

• Bachelor's Degree in Math, Statistics, Computer Science, Economics, Sociology, Public Health, or related Quantitative of Social Science discipline
• Less than 1 year working with complex analytic situations or big data environments
• Experience with statistics, geospatial analytics or business intelligence development, report automation, and applied ETL development
• Experience with at least 1 advanced programming method (e.g. Python, R, etc.)
• Experience with relational databases and SQL queries
• Experience in data visualization and ability to communicate results to a non-technical audience
• Experience being part of strategic projects with high visibility and impact with many internal and external teams involved
• Experience providing insights to executive stakeholders
• Experience managing collaborative data science projects
• Experience providing analytics that have a major impact on company's strategic imperatives and business results
• At least one scientific computing language such as Python (e.g. pandas, scikit-learn, genism, seaborn, tensorflow) or R (e.g. caret, dplyr, ggplot2)
• SQL/complex SQL queries