The University of Maryland Medical System (UMMS) is looking to become a data-driven and outcomes-oriented organization by leveraging advanced data science, machine learning, AI, statistics, and operations research to solve clinical, operational, and business problems.
Requirements
- Machine Learning/AI, Statistics or Operations Research.
- Programming with SQL, Python and R.
- Practical experience with machine learning/AI problems, or formulating and solving mathematical (deterministic and stochastic) optimization problems and simulation, or performing advanced statistical analysis.
- Developing and applying computational algorithms and statistical methods to healthcare data (including, but not limited to data from electronic medical record, financial management, human resources, quality and supply chain).
- Developing and deploying healthcare-relevant predictive and prescriptive models.
- Combining analytic methods and advanced data visualizations.
- Text mining and Natural Language Processing (NLP) is preferred.
Responsibilities
- Develop and manage predictive (machine learning and deep learning) and prescriptive (mathematical optimization and simulation) analytic models in support of the organization’s clinical, operations and business initiatives and priorities.
- Deploy solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems.
- Perform statistical analysis to evaluate primary and secondary objectives from such pilots.
- Develop strategic, tactical and operational presentations that summarize the results of predictive and prescriptive analytics projects in support of robust strategies for the organization.
- Build and extend our analytics portfolio supported by robust documentation.
- Lead cross-functional design teams to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements.
- Work with autonomy to find solutions to complex problems using open source tools and in-house development.
Other
- PhD degree in applied mathematics, data science, physics, computer science, engineering, statistics, economics, or a closely related field required; comparable work experience may be substituted for the PhD degree.
- 7+ years of industry experience
- Leading and managing projects and multi-disciplinary teams.
- Capable of artful storytelling and clearly presenting findings in oral and written format and through graphics to stakeholders at various organization levels.
- Manage projects and cross-functional teams to meet organizational goals.
