Healthcare Data Scientist - Operations Research (Mathematical Optimization & Machine Learning) Focus
University of Maryland Medical System
Location: Linthicum Heights, Maryland
Type: Full Time
Preferred Education: Doctorate
Operations Research Professionals
The Healthcare Data Scientist role will join our talented Advanced Data Science & Consulting Services group at the University of Maryland Medical System (UMMS) in support of its strategic portfolio of novel and innovative solutions and services. The successful candidate will have 3+ years of experience with the above listed domains and a passion for working with healthcare data and problem sets. Previous experience with various computational approaches along with an ability to demonstrate a portfolio of relevant prior projects is essential. This role will primarily focus on opportunities and problems sets involving Operation Research - Mathemtical Optimization, Simulation, and Machine Learning. This position will report to the Principal Data Scientist.
Will engage in creating problem solving using Machine Learning, Artificial Intelligence, and Operations Research - Mathematical Optimization and Simulation.
Anticipates data and science-related bottlenecks, provides escalation management, anticipates and makes trade-offs, and balances clinical and business needs versus scientific and technical constraints.
Partners with clinical and business stakeholders in the development of inference-driven features.
Actively identifies existing and new features, which could benefit from predictive modeling and implementation of predictive models.
Actively identifies and resolves strategic issues that may impair the team’s ability to meet strategic, scientific, and technical goals.
Partners with stakeholders to create, maintain, and prioritize the hypothesis and experimentation backlog.
Takes large, scientifically complex projects and break them down into manageable hypothesis and experiments to inform, functional specifications, then deliver features in a successful and timely manner.
Develops and manages 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.
Deploys solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems.
Support and drive analytic efforts designed around organization’s strategic priorities and clinical/business problems.
Builds and extends our analytics portfolio supported by robust documentation.
Works with autonomy to find solutions to complex problems using open source tools and in-house development
Stays abreast of state-of-the-art literature in the fields of operations research, statistical modeling, mathematical optimization, simulation, machine learning and simulation.
Works with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot/incubator settings.
Assists senior leadership with strategies for scaling successful projects across the organization and enhances the analytics applications based on feedback from end-users and clinical/business consumers.
Develops strategic, tactical and operational presentations that summarize the results of predictive and prescriptive analytics projects in support of robust strategies for the organization.
Ability to formulate and solve complex mathematical optimization problems using exact and heuristic approaches.
Ability to develop complex process models using discrete-event-simulation.
Proven programming skills in Python; ability and experience to participate in software platform and web application development.
Proven communications skills – Effective at working independently and in collaboration with other staff members. Capable of artful storytelling and clearly presenting findings in oral and written format and through graphics.
Proven analytical skills – Able to compare, contrast, and validate work with keen attention to detail. Skilled in working with “real world” data including scrubbing, transformation, and imputation.
Master’s degree in industrial engineering, computer science, applied mathematics, physics, engineering, or a related field required; PhD degree highly preferred. Extensive work experience and prior proven experience in the desired technical thought leadership may be substituted for education.
Strong background in computer science, operations research, industrial & systems engineering statistics or a physical engineering discipline.
3+ years of Machine Learning/Artificial Intelligence, Operations Research - mathematical optimization & simulation, etc.
Proven prior experience with Python and R is a must (experience with tools such as WEKA, RapidMiner, or other open source tools are strongly preferred).
Ability to develop and apply computational algorithms and AI methods to healthcare data (including, but not limited to data from electronic medical record, business transaction systems, and supply chain).
Proven prior experience in developing and deploying healthcare-relevant predictive and prescriptive models.
Proven prior practical experience with formulating and solving mathematical (deterministic and stochastic) optimization problems and simulation; prior experience in Arena, FlexSim or similar environments.
Experience with discrete-event-simulation preferred.
Proven experience with SQL.
Proven experience and strong development skills in Python.
Proven experience with combining analytic methods and advanced data visualizations.
Expert ability to break down and clearly define problems.
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.