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Healthcare Data Scientist - Analytics
Company | University of Maryland Medical System |
Address | Linthicum Heights, MD, United States |
Employment type | FULL_TIME |
Salary | |
Category | Hospitals and Health Care |
Expires | 2023-08-09 |
Posted at | 10 months ago |
Company Description
- Assist leadership with strategies for scaling successful projects across the organization and enhance the analytics applications based on feedback from end-users and clinical/business consumers.
- Support analytic efforts designed around the organization’s strategic priorities and clinical/business problems.
- Support development of strategic, tactical and operational presentations that summarize the results of statistical analytics projects in support of robust strategies for the organization.
- Work with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot/incubator settings.
- Work in a team to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements.
- Work independently to develop analysis plans and apply advanced statistical methods to conduct analyses with clinical and non-clinical variables.
- Deploy solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems.
- Attain a deep understanding of subject matter topic to conduct exploratory data analysis, and then in combination with a thorough awareness of stakeholder needs, convey appropriate contextual data to support interpretation of current and future state, ultimately to conduct storytelling with data in support of the organization’s clinical, operations and business initiatives and priorities.
- Assist leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization.
- Perform statistical analysis to evaluate primary and secondary objectives from such pilots.
- Build and extend our analytics portfolio supported by robust documentation.
- Work with autonomy to find solutions to complex problems using open source tools and in-house development.
- Work with “real world” data including scrubbing, transformation, and imputation.
- Design and prototype new application functionality for our products.
- Actively generate process improvements; support and drive change, and confront difficult circumstances in creative ways.
- Plan work, set clear direction, and coordinate own tasks in a fast-paced multidisciplinary environment, including triaging issues, identifying data anomalies, and debugging software.
- Effective at working independently and in collaboration with other staff members for software platform and web application development.
- Capable of artful storytelling and clearly presenting findings in oral and written format and through graphics to stakeholders at various organization levels.
- Cooperatively and effectively work with people from various organization levels.
- Gather stakeholder needs, conduct exploratory data analysis, and determine optimal data visualization methods for conveying insights to stakeholders.
- Work with healthcare-based datasets, including for public health or clinical data analysis is desired.
- Perform independent/unsupervised exploratory data analysis and advanced statistical analysis (e.g., regression analysis, cluster analysis, factor analysis, ANOVA).
- Manage projects to meet organizational goals.
- Knowledge of databases, data structures, data processing and data mining from large enterprise transaction systems (e.g., Epic, Infor/Lawson, McKesson HPM, Payer Claims or similar applications in healthcare or other industries).
- Able to compare, contrast, and validate work with keen attention to detail.
- Master’s degree in applied mathematics, data science, natural sciences, computer science, engineering, statistics, public health, epidemiology, economics, or a related field required; comparable work experience may be substituted for Master’s degree.
- User-interface and web development are an added plus.
- Developing, implementing, and managing dashboards, scorecards and data analytics solutions.
- Conducting root-cause analysis to ensure that curated data are accurate, repeatable, and explainable.
- 3+ years of industry experience in the following:
- Data Science and Analytics, complex Data Analysis using statistical and mathematical methods, consulting services, advanced analytics visualization, and quantitative interpretative skills.
- Combining analytic methods and advanced data visualizations.
- Practical experience performing advanced statistical analysis.
- Programming with SQL, Python and R.
- Working and interacting with business stakeholders to gather requirements to deliver solutions that are impactful, accurate and validated.
- Developing data visualizations in one or more of the following: Tableau, Qlik, Power BI, or similar tool.
- Applying data wrangling methods, performing ETL processes, and understanding of database architecture, design, and functionality.
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