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Healthcare Data Scientist - ML AI Stats OR

University of Maryland Medical System
Anthony, KS Full Time
POSTED ON 4/13/2025
AVAILABLE BEFORE 5/8/2025

General Summary

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 datadriven and outcomesoriented 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 analytic efforts designed around the organizations 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 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.
  • 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 endusers 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 inhouse development.
  • Stay abreast of stateoftheart 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 related field required; comparable work experience may be substituted for the PhD degree.
  • 3 years of industry experience in the following preferred :

    • 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 healthcarerelevant 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 fastpaced 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 :  $62.94$67.96
  • Other Compensation (if applicable) :
  • Review theUMMS Benefits Guide

    • Remote Work : Employment Type :

    Fulltime

    Key Skills

    Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

    Vacancy : 1

    Salary : $63 - $68

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