The University of Maryland Institute for Health Computing (UM-IHC) is a strategic collaborative between the University of Maryland, Baltimore (UMB) and the University of Maryland, College Park (UMCP), and the University of Maryland Medical System. Based in North Bethesda, MD, the institute focuses on artificial intelligence and advanced computing to further develop the field of precision medicine to improve well-being, quality of life, diminish disease, and enhance health outcomes for all citizens of Maryland and beyond.
The Healthcare Data Scientist - Machine Learning/AI, Statistics, Operations Research position will join our Advanced Data Science group at the University of Maryland Medical System (UMMS) in support of its strategic priority to become a data-driven and outcomes-oriented organization. The successful candidate will have experience with Machine Learning/AI, Statistics and Operations Research and a passion for working with healthcare data. Previous experience with various computational approaches along with an ability to demonstrate a portfolio of relevant prior projects is essential. This position will report to the Director for Advanced Data Science & Consulting Services.
This position has a hybrid work structure, where working from the office at regular intervals will facilitate building collaborations among the interdisciplinary teams at the IHC.
Principal Responsibilities and Tasks
Support analytic efforts designed around the organization’s strategic priorities and clinical/business problems.
Develop 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.
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 our 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.
Education and Experience
PhD degree in applied mathematics, data science, physics, computer science, engineering, statistics, economics or a related field required; comparable work experience may be substituted for the PhD degree.
Preferred 3+ years of industry experience in the following:
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.
Knowledge, Skills and Abilities
Develop (from scratch) machine learning and/or deep learning approaches and algorithms to solve clinical and business (including operations, supply chain, human resources, finance) problems.
Formulate and solve complex mathematical optimization problems using exact and heuristic approaches.
Perform independent/unsupervised exploratory data analysis and advanced statistical analysis (e.g., regression analysis, cluster analysis, factor analysis, ANOVA).
Design and prototype new application functionality for our products.
Work with “real world” data including scrubbing, transformation, and imputation.
Capable of artful storytelling and clearly presenting findings in oral and written format and through graphics to stakeholders at various organization levels.
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).
Effective at working independently and in collaboration with other staff members for software platform and web application development.
Cooperatively and effectively work with people from various organization levels.
Manage projects to meet organizational goals.
Plan work, set clear direction, and coordinate own tasks in a fast-paced multidisciplinary environment, including triaging issues, identifying data anomalies, and debugging software.
Able to compare, contrast, and validate work with keen attention to detail.
Actively generate process improvements; support and drive change, and confront difficult circumstances in creative ways.
The University of Maryland Medical System (UMMS) is a university-based regional health care system focused on serving the health care needs of Maryland. We bring innovation, discovery and research to the care we provide all while educating the state’s future physicians and health care professionals through our partnership with the University of Maryland School of Medicine and the UM Schools of Nursing, Pharmacy, Social Work and Dentistry in Baltimore. As one of the largest private employers in the state, the health system's 25,000 employees and 4,000 affiliated physicians provide primary and specialty care in more than 150 locations and at 13 hospitals. UMMS' flagship academic campus, the University of Maryland Medical Center in Baltimore, is recognized regionally and nationally for excellence and innovation in specialized care. Our acute care and specialty rehabilitation hospitals serve urban, suburban and rural communities and are located in 13 counties across the state. In addition, UMMS operates health insurance plans serving Medicare and Medicaid members. By putting greater care within reach, everyone in Maryland has everything they need to live better.
The University of Maryland Medical System - be a part of something greater.