Biomedical AI/ML Research Scientist

Stanford Reglab; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

Stanford University in the United States seeks a Basic Life Research Scientist to advance machine learning methods for multimodal biomedical data in clinical care settings. You will work with interdisciplinary teams to develop, deploy, and evaluate AI models that integrate EHRs, signals, and omics data.

The role emphasizes mentorship, manuscript development, and collaboration across clinical and computational groups, with opportunities to contribute to high-impact research and publications.

Qualifications

• PhD in Computer Science, Biomedical Informatics, Statistics, Engineering or 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
• Contribute to manuscript preparation, review, and scientific dissemination
• Collaborate with clinicians, data scientists, and external partners
• Help maintain high standards of rigor, reproducibility, and code quality

Skills

Machine learning

Python

PyTorch

TensorFlow

Education

PhD in Computer Science, Biomedical Informatics, Statistics, Engineering

Tools

Python

PyTorch

TensorFlow

Job description

Stanford University in the United States seeks a Basic Life Research Scientist to advance machine learning methods for multimodal biomedical data in clinical care settings. You will work with interdisciplinary teams to develop, deploy, and evaluate AI models that integrate EHRs, signals, and omics data.

The role emphasizes mentorship, manuscript development, and collaboration across clinical and computational groups, with opportunities to contribute to high-impact research and publications.