Clinical AI Monitoring Engineer

Stanford University School of Medicine; Palo Alto (CA); Hybrid; USD 140.000 - 190.000; Vollzeit

Zusammenfassung

Stanford University School of Medicine seeks a Machine Learning Engineer (RDS and Engineer 1) to monitor autonomous AI tools used in clinics, building systems that track performance and detect data shifts over time.

You will implement automated checks, manage clinical datasets, and collaborate with clinicians and researchers to ensure safe and reliable AI in healthcare. Hybrid work on the Stanford campus is available.

Qualifikationen

• Doctorate in computer science, data science, bioengineering, statistics, or related quantitative field.
• Previous research or laboratory experience preferred.

Aufgaben

• Design and develop a monitoring system for evaluating clinical AI tools.
• Develop automated checks to ensure clinical AI tools operate as expected.
• Collect, manage, and clean datasets related to clinical AI tools and advise faculty, clinicians and research staff on monitoring methods.
• Prepare reports, charts, graphs and tables for investigators and contribute to manuscripts and grant applications.
• Provide technical direction to other research staff, engineering associates, technicians, and/or students.

Kenntnisse

Python

Machine Learning

Data Analysis

Clinical AI

Ausbildung

Doctorate degree in CS/Data Science/Bioengineering/Statistics or related field

Bachelor’s degree with 3 years relevant experience

Tools

Claude Code

Jobbeschreibung

Stanford University School of Medicine seeks a Machine Learning Engineer (RDS and Engineer 1) to monitor autonomous AI tools used in clinics, building systems that track performance and detect data shifts over time.

You will implement automated checks, manage clinical datasets, and collaborate with clinicians and researchers to ensure safe and reliable AI in healthcare. Hybrid work on the Stanford campus is available.