Senior Healthcare Data Scientist AIML, Stats, OR

General Summary

The Senior 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.

Principal Responsibilities and Tasks

• Support and drive analytic efforts designed around the organizations strategic priorities and clinical/business problems.
• Develop and manage predictive (machine learning and deep learning) and prescriptive (mathematical optimization and simulation) analytic models in support of the organizations 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.
• 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.
• Manage projects and initiatives for the medical system that include multi-disciplinary teams from technology clinical and business groups.
• Mentor staff on effective problem-solving strategies and technical aspects of Machine Learning/AI Statistics and Operations Research.
• Manage project plans and other required project documentation and provide updates to leadership as necessary.
• Develop and maintain relationships with business IT and clinical leaders and stakeholders across the enterprise to facilitate collaboration and effective communication.
• Assist senior 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 senior 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.

Qualifications :

Education and Experience 

• 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 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.
  • Leading and managing projects and multi-disciplinary teams.

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 and cross-functional teams to meet organizational goals.
• Plan work set clear direction and coordinate own tasks as well as project teams 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.

Additional Information :

All your information will be kept confidential according to EEO guidelines.

 Compensation

• Pay Range: $70.34-$112.31
• Other Compensation (if applicable):

• Review the 2025-2026 UMMS Benefits Guide

Remote Work :

Yes

Employment Type :

Full-time