Data Scientist - AI/ML

Stanford Health Care • Palo Alto, CA

2d • $82 - $108

About The Position

The Data Scientist will help build Stanford Health Care’s artificial intelligence and machine learning solutions for patient care, medical research, and administrative services. The role partners with clinical specialties and operational teams to develop and deploy algorithms intended to improve patient outcomes.

Reporting to the Data Science Director and working closely with Stanford Medicine’s inaugural Chief Data Scientist, the Data Scientist develops AI solutions—from predictive algorithms to agentic systems—and brings them into healthcare in a safe, ethical, and cost-effective manner. The role includes designing, implementing, and supporting machine learning models for clinical use.

Requirements

• PhD or MS degree in statistics, informatics, or a related field.
• For candidates with an MS degree: at least 4 years of related experience applying solutions to problems.
• Ability to write code in SQL, R, or Python to process large datasets in distributed cloud environments, and 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, strong interpersonal skills, creativity and latitude in problem solving, and 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 ML-enabled care workflows, collaborating with others at Stanford Health Care to design and develop solutions to problems addressed 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 using hospital data, with quality-control checks and bias assessments.
• Design, implement, and support machine learning models for use in clinical settings.

What This Job Offers

• Job Type: Full-time