Clinical AI/ML Research Scientist

Stanford University School of Medicine; Palo Alto (CA); On-site; USD 80,000 - 100,000; Full time

Job summary

Stanford University School of Medicine’s Aghaeepour Lab seeks a Basic Life Research Scientist to advance machine learning for clinical medicine, integrating multimodal data including EHRs and physiological signals. You will contribute to research, mentor trainees, and collaborate with clinicians and data scientists.

The role focuses on multimodal learning, time-series modeling, and reproducible AI methods to improve patient outcomes in acute care settings such as OR, ICU, and NICU.

Qualifications

• PhD in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related quantitative field.
• Experience in machine learning, deep learning, or AI applied to real-world datasets.
• Strong programming skills (e.g., Python, PyTorch, TensorFlow).

Responsibilities

• Contribute to and/or lead research projects involving machine learning and clinical data integration.
• Develop, implement, and evaluate AI/ML models using large-scale biomedical datasets.
• Provide technical mentorship and guidance to trainees.

Skills

Machine learning

Deep learning

Python programming

Education

PhD in Computer Science or related field

Tools

Python

PyTorch

TensorFlow

Job description

Stanford University School of Medicine’s Aghaeepour Lab seeks a Basic Life Research Scientist to advance machine learning for clinical medicine, integrating multimodal data including EHRs and physiological signals. You will contribute to research, mentor trainees, and collaborate with clinicians and data scientists.

The role focuses on multimodal learning, time-series modeling, and reproducible AI methods to improve patient outcomes in acute care settings such as OR, ICU, and NICU.