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Healthcare Data Scientist - Machine Learning, AI, Statistics, Operations Research - Remote

Posted 3 weeks ago

Overview

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.

In Short

  • Support analytic efforts designed around the organization’s strategic priorities and clinical/business problems.
  • Develop predictive and prescriptive analytic models in support of the organization’s initiatives.
  • Deploy solutions to provide actionable insights to the organization.
  • Work with analytics team and stakeholders to develop pilots for testing and validation.
  • Perform statistical analysis to evaluate objectives from pilots.
  • Support development of presentations summarizing analytics project results.
  • Build and extend the analytics portfolio with robust documentation.
  • Drive disruptive innovation to improve quality of care and reduce costs.
  • Assist leadership with scaling successful projects across the organization.
  • Stay abreast of literature in machine learning/AI and operations research.

Requirements

  • PhD in applied mathematics, data science, or related field required.
  • 3+ years of industry experience in Machine Learning/AI, Statistics, or Operations Research.
  • Programming experience with SQL, Python, and R.
  • Practical experience with machine learning problems and statistical analysis.
  • Experience developing healthcare-relevant predictive and prescriptive models.
  • Knowledge of databases and data processing from large enterprise systems.
  • Effective communication skills for presenting findings to stakeholders.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Project management skills to meet organizational goals.
  • Attention to detail and ability to generate process improvements.

Benefits

  • Competitive salary range.
  • Comprehensive benefits package.
  • Opportunities for professional development.
  • Supportive work environment focused on innovation.
  • Access to cutting-edge research and technology.

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