Healthcare Analytics Specialist

2 weeks ago

Bethesda, Maryland, United States University of Maryland Medical System Full time
Job Overview

Company Overview
The University of Maryland Institute for Health Computing (UM-IHC) represents a strategic alliance among the University of Maryland, Baltimore (UMB), the University of Maryland, College Park (UMCP), and the University of Maryland Medical System. Located in North Bethesda, MD, the institute is dedicated to leveraging artificial intelligence and advanced computational techniques to advance precision medicine, enhancing health outcomes and quality of life for all Maryland residents and beyond.

Our Commitment to Excellence
We are proud of our legacy in patient care and innovation, striving to be a national leader in healthcare transformation. Recognized by Forbes as one of America's Best Large Employers for 2022, the University of Maryland Medical Center in Baltimore is acclaimed for its specialized care.

Healthcare Services
The University of Maryland Medical System (UMMS) provides extensive healthcare services throughout Maryland. Our physicians and care teams collaborate closely with specialists from the University of Maryland School of Medicine to deliver primary and specialty care across more than 150 locations statewide, accounting for 25% of all hospital-based care in Maryland.

Position Summary
The Healthcare Analytics Specialist will be an integral part of our Advanced Data Science team at UMMS, contributing to our goal of becoming a data-driven organization focused on outcomes. The ideal candidate will possess expertise in Machine Learning, AI, Statistics, and Operations Research, along with a strong enthusiasm for analyzing healthcare data. A portfolio showcasing relevant projects is essential for this role. This position will report directly to the Director of Advanced Data Science & Consulting Services.

This role features a hybrid work model, promoting collaboration among interdisciplinary teams.

Key Responsibilities
  • Facilitate analytical initiatives aligned with the organization's strategic goals and clinical/business challenges.
  • Create predictive (machine learning and deep learning) and prescriptive (mathematical optimization and simulation) models to support clinical, operational, and business objectives.
  • Implement solutions that yield actionable insights and integrate seamlessly with existing application systems.
  • Collaborate with analytics teams and clinical/business stakeholders to develop and validate pilot projects.
  • Conduct statistical analyses to assess primary and secondary objectives from pilot initiatives.
  • Assist in crafting strategic, tactical, and operational presentations that summarize analytics project outcomes.
  • Enhance our analytics portfolio with comprehensive documentation.
  • Engage in innovative projects aimed at improving care quality, clinical outcomes, and operational efficiencies.
  • Support leadership in scaling successful initiatives across the organization and refining analytics applications based on user feedback.
  • Promote analytics literacy and adoption by sharing success stories and lessons learned.
  • Independently tackle complex problems using open-source tools and in-house development.
  • Stay updated on advancements in machine learning, AI, operations research, and statistical modeling.
Qualifications
  • PhD in applied mathematics, data science, computer science, engineering, statistics, economics, or a related field; equivalent work experience may be considered.
  • Preferred 3+ years of industry experience in Machine Learning, AI, or Operations Research.
  • Proficiency in SQL, Python, and R programming.
  • Hands-on experience with machine learning problems and advanced statistical analysis.
  • Experience in developing and deploying predictive and prescriptive models relevant to healthcare.
  • Familiarity with text mining and Natural Language Processing (NLP) is advantageous.
Skills and Abilities
  • Ability to develop machine learning and deep learning algorithms for clinical and operational challenges.
  • Proficient in formulating and solving complex mathematical optimization problems.
  • Experience in exploratory data analysis and advanced statistical techniques.
  • Capable of designing and prototyping new functionalities for applications.
  • Skilled in handling real-world data, including data cleaning and transformation.
  • Effective communicator, able to present findings clearly to diverse stakeholders.
  • Strong project management skills to achieve organizational objectives.
  • Adept at working independently and collaboratively in a fast-paced environment.

Confidentiality Notice
All information will be kept confidential in accordance with EEO guidelines.

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