Clinical AI Monitoring & Evaluation Engineer

Stanford University; Palo Alto (CA); Hybrid; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Stanford University seeks a Machine Learning Engineer (Research and Development Scientist and Engineer 1) to monitor AI tools used in clinics and to help develop automated checks that ensure tools work as expected. The role involves handling health records, medical images, clinical notes, wearables, and integration with AI systems in a hybrid work setting.

Kandidat should have a Doctorate in a quantitative field and experience in Python and modern software tools, with a focus on safe AI

Qualifikationen

• PhD in CS/DS/biomedical fields or related quantitative discipline with research experience.

Aufgaben

• Design and develop a monitoring system for evaluating clinical AI tools.
• Coordinate the phases of building automated checks for AI tool performance.
• Collect, manage, and clean datasets related to clinical AI tools.
• Advise faculty, clinicians and research staff on monitoring methods.
• Prepare reports and documentation to enable reproducibility of work.

Kenntnisse

Data analysis

Programming

Ausbildung

Doctorate degree in Computer Science, Data Science, Bioengineering, Statistics, or related field

Tools

Python

Claude Code

Jobbeschreibung

Stanford University seeks a Machine Learning Engineer (Research and Development Scientist and Engineer 1) to monitor AI tools used in clinics and to help develop automated checks that ensure tools work as expected. The role involves handling health records, medical images, clinical notes, wearables, and integration with AI systems in a hybrid work setting.

Kandidat should have a Doctorate in a quantitative field and experience in Python and modern software tools, with a focus on safe AI