General Summary

The Healthcare Data Scientist position will join our Advanced Analytics 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 3+ years of experience with Machine Learning, Predictive Modeling, Statistical Analysis, Mathematical Optimization, Algorithm Development 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 UMMS Vice President for Enterprise Data and Analytics (ED&A).

 Principal Responsibilities and Tasks

• 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
• Supports and drives analytic efforts designed around organization’s strategic priorities and clinical/business problems
• Works in a team to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements.
• 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, statistical process control and mathematical optimization
• Creates and communicates project plans and other required project documentation and provides updates to leadership as necessary
• Develops and maintains relationships with business, IT and clinical leaders and stakeholders across the enterprise to facilitate collaboration and effective communication
• Works with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot/incubator settings
• Performs analysis to evaluate primary and secondary objectives from such pilots
• Assists 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
• Assists leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization.

Knowledge, Skills and Abilities

• Ability to develop (from scratch) machine learning and/or deep learning approaches to solving clinical and business (including operations, supply chain, human resources, finance) problems.
• Knowledge of databases, data structures, data processing and data mining.
• Ability to perform independent/unsupervised exploratory data analysis.
• Ability to develop complex process models using discrete-event-simulation.
• Ability to program independently in Python (intermediate skills); ability 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.
• Proven problem solving skills – Able to plan work, set clear direction, and coordinate own tasks in a fast-paced multidisciplinary environment. Expert at triaging issues, identifying data anomalies, and debugging software.
• Design and prototype new application functionality for our products.
• Change oriented – actively generates process improvements; supports and drives change, and confronts difficult circumstances in creative ways
• Effective communicator and change agent
• Ability to prioritize the tasks of the project timeline to achieve the desired results
• Strong analytic and problem solving skills
• Ability to cooperatively and effectively work with people from various organization levels