Senior Data Scientist AI/ML

Stanford Health Care • Palo Alto, CA

1d • $87 - $115

About The Position

The Senior Data Scientist will be part of a team building Stanford Health Care solutions that incorporate artificial intelligence, including healthcare solutions for patient care, medical research, and administrative services. The Data Science group brings AI, predictive algorithms, and emerging machine learning innovations into healthcare and partners with clinical specialties and operations teams to deploy algorithms that can 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 MS degree in statistics, informatics, or a related field.
• For candidates with an MS degree: 4 or more years of related experience applying solutions to problems.
• Experience leading data science projects.
• 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 skills, 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.

Responsibilities

• Build, deploy, and maintain AI- and machine-learning-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 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, using strong quality-control checks and bias assessments.
• Lead the interpretation of data analysis and write reports.

What This Job Offers

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