Data Scientist - AI/ML

Stanford Health Care • Palo Alto, CA

19h

About The Position

The Data Scientist will join Stanford Health Care’s team developing AI and machine-learning solutions for patient care, medical research, and administrative services. The team partners with clinical specialties and operations to bring predictive algorithms and other emerging data-science innovations into healthcare to improve patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicine’s inaugural Chief Data Scientist, the role develops AI solutions, from predictive algorithms to agentic systems, for safe, ethical, and cost-effective use. The individual designs, implements, and supports machine-learning models for clinical use.

Requirements

• PhD or MS degree in statistics, informatics, or a related field.
• For applicants with an MS degree, 4+ years of related experience with applied problems.
• 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, together with a strong understanding of statistics.
• Knowledge of software development, machine learning, and technology infrastructure.
• Excellent verbal and written communication skills and strong interpersonal skills.
• Demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks.

Nice To Haves

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

Responsibilities

• Build, deploy, and maintain AI- and ML-enabled care workflows, collaborating with others at Stanford Health Care to design and develop solutions to problems undertaken by the Data Science group.
• Evaluate tools, platforms, and strategies used 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, applying quality-control checks and bias assessments.
• Design, implement, and support machine-learning models for use in the clinic.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level