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Data Scientist AI/ML

Stanford Health Care

$79 - $105
Nov 13, 2025
Palo Alto, CA, US
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Stanford Health Care (SHC) is looking to incorporate Artificial Intelligence (AI) and machine learning (ML) into their healthcare solutions to improve patient care, medical research, and administrative services, ultimately leading to better patient outcomes.

Requirements

  • Ability to write code in SQL, R, or Python for processing large datasets in distributed cloud environments, and experience in processing and analyzing healthcare data.
  • Experience developing, evaluating, and implementing machine learning models.
  • Graduate level understanding of techniques in machine learning, knowledge representation, and artificial intelligence along with a strong understanding of statistics.
  • Knowledge of software development, machine learning, and technology infrastructure

Responsibilities

  • Build, deploy and maintain AI and ML enabled care workflows.
  • Evaluate tools, platforms and strategies used by the Data Science group to manage the lifecycle of building models from healthcare data.
  • Train, develop, and validate researcher-built or vendor provided machine learning algorithms on hospital data with strong quality control checks and bias assessments.
  • design and develop solutions to the problems undertaken by the Data Science group.
  • develop predictive algorithms and other machine learning (ML) based innovations in data science into healthcare in a safe, ethical and cost-effective manner.
  • design, implement and support ML models for use in the clinic.

Other

  • Experience working with clinicians and researchers across disciplines to develop approaches for use in clinical care.
  • Experience working in cloud environments or working in a healthcare organization.
  • Excellent verbal and written communication skills, strong interpersonal skills, along with demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks.
  • PhD/MS degree in statistics, informatics or related field
  • PhD: Experience preferred
  • MS Degree: 4+ years of related experience with applied problems