Senior Data Scientist AI/ML

Stanford Health Care•Palo Alto, CA

About The Position

The Senior Data Scientist will join a team building Stanford Health Care (SHC) solutions incorporating artificial intelligence for patient care, medical research, and administrative services. The group brings AI, predictive algorithms, and emerging machine-learning innovations into healthcare and partners with clinical specialties and operations teams to deploy algorithms intended to improve patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role develops predictive algorithms and other machine-learning innovations for healthcare in a safe, ethical, and cost-effective manner. The position designs, implements, and supports machine-learning models for clinical use.

Requirements

  • PhD or master's degree in statistics, informatics, or a related field.
  • For candidates with a master's degree: at least 4 years of related experience applying data science to problems.
  • Experience leading data science projects.
  • Ability to write code in SQL, R, or Python to process large datasets in distributed cloud environments.
  • Experience processing and analyzing healthcare data.
  • Experience developing, evaluating, and implementing machine-learning models.
  • Experience working with clinicians and researchers across disciplines to develop approaches for clinical care.
  • Graduate-level understanding of machine learning, knowledge representation, and artificial intelligence, along with a strong understanding of statistics.
  • Knowledge of software development, machine learning, and technology infrastructure.
  • Excellent verbal and written communication and interpersonal skills.
  • Creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks.

Nice To Haves

  • For candidates with a PhD, experience is preferred.
  • Experience working in cloud environments or in a healthcare organization.

Responsibilities

  • Build, deploy, and maintain AI- and machine-learning-enabled care workflows.
  • Work with others at SHC to design and develop solutions to problems undertaken by the Data Science group.
  • Evaluate tools, platforms, and strategies for managing the lifecycle of models built from healthcare data.
  • Train, develop, and validate researcher-built or vendor-provided machine-learning algorithms on hospital data, using strong quality-control checks and bias assessments.
  • Lead the interpretation of data analysis and write reports.
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