University of Maryland Medical System · 1 day ago
Healthcare Data Scientist – Machine Learning/AI, Statistics Operations Research
The University of Maryland Medical System (UMMS) is an academic private health system focused on delivering compassionate, high-quality care. They are seeking a Healthcare Data Scientist who will support analytic efforts to drive data-driven decision-making and develop predictive and prescriptive analytic models for clinical and business initiatives.
Hospital & Health Care
Responsibilities
Support analytic efforts designed around the organization’s strategic priorities and clinical/business problems, including operations, supply chain, human resources, and finance
Develop predictive (machine learning and deep learning approaches/algorithms) and prescriptive (mathematical optimization and simulation) analytic models in support of the organization’s clinical, operations and business initiatives and priorities
Formulate and solve complex mathematical optimization problems using exact and heuristic approaches
Perform exploratory data analysis and advanced statistical analysis (e.g., regression analysis, cluster analysis, factor analysis, ANOVA)
Design and prototype new application functionality for products
Deploy solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems
Work with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot/incubator settings
Perform statistical analysis to evaluate primary and secondary objectives from such pilots
Support development of 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 analytics portfolio supported by robust documentation
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
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
Assist leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization
Work with autonomy to find solutions to complex problems using open source tools and in-house development
Stay abreast of state-of-the-art literature in the fields of machine learning/AI, operations research, statistical modeling, statistical process control and mathematical optimization
Up to 5% domestic travel
Qualification
Required
Master's degree in Applied Mathematics, Data Science, Physics, Industrial Engineering, Computer Science, Statistics, Economics or a related field
Two (2) years of relevant work experience to include:
Machine Learning/AI, Statistics or Operations Research
Programming with SQL, Python and R
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
Benefits
Health, vision, dental, and life insurance
403(b) retirement plan
Paid time off
Educational assistance
Employee assistance program
Employee discounts
Company
University of Maryland Medical System
The University of Maryland Medical System (UMMS) was created in 1984 when the state-owned University Hospital became a private, nonprofit organization.
H1B Sponsorship
University of Maryland Medical System has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (15)
2023 (18)
2022 (9)
2021 (5)
2020 (1)
Funding
Current Stage
Late StageRecent News
2023-06-30
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