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Data Scientist Assistant 1

ExecutivePlacements.com

Salary not specified
Nov 21, 2025
Nashville, TN, United States of America
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Vanderbilt University Medical Center is looking to discover new patterns and insights from large bodies of heterogeneous data to impact patient health or augment human capabilities. The role aims to inform and define new products, experiences, and technologies through data science and AI/ML.

Requirements

  • Deep expertise in the methods used to analyze data
  • Deep knowledge of data types, topics, and scientific challenges and approaches
  • Experience with Artificial Intelligence (AI")/Machine Learning (ML) based approaches

Responsibilities

  • Performs detailed analyses of large bodies of heterogeneous data to discover new patterns and insights that impact patient health or augment human capabilities.
  • Leads discovery processes on pioneering Artificial Intelligence (AI")/Machine Learning (ML) based approaches to solve complex data problems across a variety of domains.
  • Provides strategic direction regarding data science and AI in a specific area (e.g., cancer, surgery, planning services, marketing, healthcare delivery).
  • Develops analytics tools that can be used by other staff with non-technical expertise.
  • Makes strategic recommendations on data collection, integration and retention requirements, incorporating business requirements and knowledge of best practices.
  • Designs, develops, applies, and modifies scripts or software applications to support data management, extraction, and analysis.
  • Provides consultative services and is responsible to gather, analyze, present findings to leadership.

Other

  • 3 years Relevant Work Experience
  • Master's Degree
  • Works in conjunction with Data Science and Informatics faculty to provide technical thought leadership
  • Works closely with Informatics and IT teams to create data and intelligence-driven systems to solve complex client problems.
  • Guides and educates data science teams to provide unbiased and accurate information, analysis, consultation, and recommendations to support strategic and operational data science initiatives.