Position Summary

The Data Scientist for our Healthcare Analytics & Innovation team supports our 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 UH Population Health and System Operations 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.
Essential Functions

• 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.

Required For All Jobs

• Performs other duties as assigned.
• Complies with all policies and standards.
• For specific duties and responsibilities, refer to documentation provided by the department during orientation.
• Must abide by all requirements to safely and securely maintain Protected Health Information (PHI) for our patients. Annual training, the UH Code of Conduct and UH policies and procedures are in place to address appropriate use of PHI in the workplace.

Qualifications:
Qualifications

Education

• Bachelor's Degree Math, Statistics, Computer Science, Economics, Sociology, Public Health, or related Quantitative or Social Science discipline Required and
• Master's Degree in related field Preferred or
• Doctorate Degree in related field Preferred

Work Experience

• 5+ years working with complex analytic situations or big data environments Required and
• Extenstive experience working with SQL/complex queries Required and
• Extensive experience and proficiency in statistical programming languages such as Python (e.g. pandas, scikit-learn, genism, seaborn, tensorflow) or R (e.g. caret, dplyr, ggplot2) Required and
• Experience with statistics, business intelligence development, report automation, and applied ETL development Required and
• Experience in data visualization (e.g. Tableau or PowerBI are preferred) and ability to communicate results to a non-technical audience Required and
• Experience being part of strategic projects with high visibility and impact with many internal and external teams involved. Required and
• Experience providing insights to executive stakeholders Required and
• Experience managing collaborative data science projects Required and
• Experience providing analytics that have a major impact on company's strategic imperatives and business results. Required and
• Healthcare (Hospital/Health System, Payor, or Life Sciences) experience Required and
• Experience and working knowledge of Electronic Health Records (Epic and Allscripts), claims-based reporing, and fluency with healthcare coding Preferred

Knowledge, Skills, & Abilities

• Self-starter who is adept at independent decision-,making and is ideally suited for emermging leaders in health data sciences Required
• Ability to develop data pipelines to support AI and machine learning model development Required
• Ability to learn new software and emerging technologies without extensive hands-on training Required
• Knowledge of Microsoft Azure Required
• Ability to work independently and use creative approaches to problem-solving but know when to seek help from other team members Required
• Optimistic, self-directed performer capable of complex decision making and communication Required
• Capable of turning questions into testable hypotheses, estracting data from complex databases, creating and evaluating statistical models Required
• Capable of gathering and validating requirements, articulating the pros and cons of different analytic approaches, estimating timelines for completion of work, and predicting potential challenges to producing accurate time estimates and analytic plans. Required
• Working knowledge of emerging technology platforms Required

Physical Demands

• Standing Occasionally
• Walking Occasionally
• Sitting Constantly
• Lifting Rarely 20 lbs
• Carrying Rarely 20 lbs
• Pushing Rarely 20 lbs
• Pulling Rarely 20 lbs
• Climbing Rarely 20 lbs
• Balancing Rarely
• Stooping Rarely
• Kneeling Rarely
• Crouching Rarely
• Crawling Rarely
• Reaching Rarely
• Handling Occasionally
• Grasping Occasionally
• Feeling Rarely
• Talking Constantly
• Hearing Constantly
• Repetitive Motions Frequently
• Eye/Hand/Foot Coordination Frequently