Description
The Data Scientist will be part of a team building Stanford Health Care's (SHC) 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), 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 AI solutions – from predictive algorithms to agentic systems - into healthcare in a safe, ethical and cost-effective manner.
Requirements
A Brief Overview
The Data Scientist will be part of a team building Stanford Health Care's (SHC) 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.
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.
Education Qualifications
PhD/MS degree in statistics, informatics or related field
Experience Qualifications
PhD: Experience preferred
MS Degree: 4+ years of related experience with applied problems
Required Knowledge, 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.
