Healthcare AI/ML Data Platform Lead

Aimlroles; Palo Alto (CA); On-site; USD 134,000 - 178,000; Full time

Job summary

Stanford Health Care seeks a Lead Data Engineer to join a team building AI-enabled health care solutions across patient care, research and administration. You will design, scale, and maintain compute frameworks, tooling, and model implementations used by the data science team.

You’ll collaborate with clinical and operations staff to deploy algorithms that improve outcomes, reports to the Data Science Director, and help ensure robust data processing software and infrastructure across SHC’s health

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related, or equivalent working experience
• 5+ years experience in building data infrastructure for analytics teams, including ability to write code in SQL, R, or Python for processing large datasets in distributed cloud environments
• Experience with cloud deployment strategies and CI/CD.
• Experience building and working with data infrastructure in a SaaS environment.
• Experience overseeing, developing or implementing machine learning operations (MLOps) processes.
• Experience mentoring junior engineers and enforcing best practices around code quality.
• Knowledge of multiple programming languages, commitment to choosing languages based on project-specific requirements, and willingness to learn new programming languages as necessary.
• Knowledge of resource management and automation approaches such as workflow runners.
• Collaborative mentality and excitement for iterative design working closely with the Data Science team.

Responsibilities

• Build end-to-end data pipelines and infrastructure for ML models used by the Data Science team and others at SHC.
• Understand data processing and analysis pipeline requirements and design appropriate technical interfaces and training for researchers.
• Understand data flows among SHC applications and inform design of languages, tools, and platforms used in software projects.
• Troubleshoot and debug environment and infrastructure problems in production and non-production environments.
• Coordinate with SHC groups to ensure servers and system maintenance based on updates and security requirements.

Skills

SQL

Python

R

Cloud deployment

CI/CD

MLOps

Mentoring

Data infrastructure

Automation workflows

Team collaboration

Education

Bachelors/Masters in CS/Engineering

Job description

Stanford Health Care seeks a Lead Data Engineer to join a team building AI-enabled health care solutions across patient care, research and administration. You will design, scale, and maintain compute frameworks, tooling, and model implementations used by the data science team.

You’ll collaborate with clinical and operations staff to deploy algorithms that improve outcomes, reports to the Data Science Director, and help ensure robust data processing software and infrastructure across SHC’s health