Data Scientist AI/ML
Listed on 2026-06-02
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer, Data Analyst
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Day - 08 Hour (United States of America)
OverviewThe Data Scientist will be part of a team building Stanford Health Care’s solutions incorporating Artificial Intelligence including providing health care solutions in the areas of patient care, medical research and administrative services. This group is designed to bring Artificial Intelligence (AI), predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes.
Reporting to the Data Science Director and working closely with Stanford Medicine’s inaugural Chief Data Scientist, this role is responsible for developing predictive algorithms and other machine learning (ML) based innovations in data science into healthcare in a safe, ethical and cost‑effective manner. The individual will design, implement and support ML models for use in the clinic.
This is a Stanford Health Care job.
LocationsStanford Health Care
What you will do- Build, deploy and maintain AI and ML enabled care workflows. This includes working with others at SHC to design and develop solutions to the 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 with strong quality control checks and bias assessments.
- PhD/MS degree in statistics, informatics or related field
- PhD:
Experience preferred - MS Degree: 4+ years of related experience with applied problems
Skills and Abilities
- Ability to write code in SQL, R, or Python for processing large datasets in distributed cloud environments, and experience in 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 use in clinical care.
- Experience working in cloud environments or working in a healthcare organization.
- Graduate level understanding of techniques in 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 skills, strong interpersonal skills, along with demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks.
- Blood Borne Pathogens:
Category II – Tasks that involve NO exposure to blood, body fluids or tissues, but employment may require performing unplanned Category I tasks
Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non‑discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above.
People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements.
Generally starting at $79.21 - $104.97 per hour.
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