Data Scientist - AI/ML

Stanford Health Care • Palo Alto, CA

6d • $82 - $108 • Hybrid

About The Position

The Data Scientist will join a Stanford Health Care team building artificial intelligence and machine learning solutions for patient care, medical research, and administrative services. The group 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, the role develops predictive algorithms and other machine learning innovations for healthcare in a safe, ethical, and cost-effective manner. The Data Scientist designs, implements, and supports 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 with applied 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.
• Experience working in cloud environments or in a healthcare organization.
• Graduate-level understanding of machine learning, knowledge representation, and artificial intelligence techniques, 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, and the ability to prioritize and execute multiple competing tasks.

Nice To Haves

• Experience for candidates with a PhD is preferred.

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 for managing the lifecycle of building models from healthcare data.
• Train, develop, and validate researcher-built or vendor-provided machine learning algorithms on hospital data, using quality-control checks and bias assessments.
• Design, implement, and support machine learning models for clinical use.

What This Job Offers

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