Description 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

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 Education

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

Work Experience

3+ years Working with complex analytic situations or big data environments (Required)
Healthcare (Hospital/Health System, Payor, or Life Sciences) experience (Preferred)

Knowledge, Skills, & Abilities

Extensive experience working with SQL/complex queries (Required proficiency)
Proficiency in statistical programming languages such as Python (e.g. pandas, scikit-learn, genism, seaborn, tensorflow) or R (e.g. caret, dplyr, ggplot2) (Required proficiency)
Experience with statistics, business intelligence development, report automation, and applied ETL development (Required proficiency)
Experience in data visualization (e.g. Tableau or PowerBI are preferred) and ability to communicate results to a non-technical audience (Required proficiency)
Experience being part of strategic projects with high visibility and impact with many internal and external teams involved. (Required proficiency)
Experience providing insights to executive stakeholders (Required proficiency)
Experience managing collaborative data science projects (Required proficiency)
Experience providing analytics that have a major impact on company’s strategic imperatives and business results. (Required proficiency)
Self-starter who is adept at independent decision-,making and is ideally suited for emermging leaders in health data sciences (Required proficiency)
Ability to develop data pipelines to support AI and machine learning model development (Required proficiency)
Ability to learn new software and emerging technologies without extensive hands-on training (Required proficiency)
Knowledge of Microsoft Azure (Required proficiency)
Ability to work independently and use creative approaches to problem-solving but know when to seek help from other team members (Required proficiency)
Optimistic, self-directed performer capable of complex decision making and communication (Required proficiency)
Capable of turning questions into testable hypotheses, estracting data from complex databases, creating and evaluating statistical models (Required proficiency)
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 proficiency)
Working knowledge of emerging technology platforms (Required proficiency)
Experience and working knowledge of Electronic Health Records (Epic and Allscripts), claims-based reporting, and fluency with healthcare coding. (Preferred proficiency)

Physical Demands

Standing Occasionally
Walking Occasionally
Sitting Constantly
Lifting Rarely up to 20 lbs
Carrying Rarely up to 20 lbs
Pushing Rarely up to 20 lbs
Pulling Rarely up to 20 lbs
Climbing Rarely up to 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

Travel Requirements

University Hospitals

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