Associate Data Scientist (Population Health)

Responsible for leading and supporting interdisciplinary collaboration to identify opportunities and deploy adaptive analytic strategies to provide measurable improvements in the value of care delivered by University Hospitals to current and future patient populations. This position will both lead and support the entire scope of the data science pipeline, including integrating disparate data, developing statistical models, designing and automating report distribution, and continuously presenting and re-assessing results in support of department initiatives.

What You Will Do

Lead the discovery and requirements gathering process with key clinical and business stakeholders to inform analytic plans, research, design, develop, and implement statistical models and advanced analytics to support key strategic initiatives, and develop and deploy innovative analytic solutions for simplistic Analytics-As-A-Service Business Intelligence dashboards.

Why It Might Be a Fit

Must have experience with statistics, geospatial analytics or business intelligence development, report automation, and applied ETL development, as well as experience with at least one advanced programming method, relational databases, and SQL queries. Must also have experience providing insights to executive stakeholders and managing collaborative data science projects.

Requirements

• 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
• Knowledge of Microsoft Azure
• Ability to work independently and use creative approaches to problem-solving but know when to seek help from other team members
• Optimistic, self-directed performer capable of complex decision making and communication
• Capable of turning questions into testable hypotheses, extracting data from complex databases, creating and evaluating statistical models
• 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

Benefits

• Annual training
• UH Code of Conduct
• UH policies and procedures
• Protected Health Information (PHI) for our patients