Postdoc, Clinical AI for Precision Medicine

KOLIS (Korean Life Scientists in the Bay Area); Palo Alto (CA); Vor Ort; USD 70.000 - 90.000; Vollzeit

Zusammenfassung

KOLIS (Korean Life Scientists in the Bay Area) is inviting applications for a full-time postdoctoral scholar in Stanford's Department of Pathology to lead development of multi-modal clinical AI models for diagnosis, prognosis, and treatment response across oncologic and non-oncologic diseases.

Candidates should have a PhD/MD in CS/biomedical data science or related fields, with strong computer vision and vision-language models experience, plus the ability to publish and collaborate with

Qualifikationen

• PhD and/or MD in a relevant field.
• Experience in computer vision and VLMs.
• Strong English communication skills.
• Track record of scholarly productivity.
• Statistics background for clinical/biomedical research desirable.
• Experience with Linux systems administration and CUDA/cuDNN setup is a plus.

Aufgaben

• Lead development of multi-modal clinical AI models for diagnosis, prognostication, and treatment-prediction.
• Collaborate with clinicians, computer scientists, and statisticians in a multidisciplinary environment.
• Engage with Stanford AIMI and other departments to apply AI to healthcare problems.

Kenntnisse

Computer vision

Vision-language models

English communication

Scholarly productivity

Statistics for biomedical research

Linux / CUDA / cuDNN troubleshooting

Ausbildung

PhD and/or MD with a background in Computer Science, Informatics/Biomedical Data Science, Engineering, Statistics, Computational Biology, or a related field

Tools

NVIDIA drivers

CUDA

cuDNN

Jobbeschreibung

KOLIS (Korean Life Scientists in the Bay Area) is inviting applications for a full-time postdoctoral scholar in Stanford's Department of Pathology to lead development of multi-modal clinical AI models for diagnosis, prognosis, and treatment response across oncologic and non-oncologic diseases.

Candidates should have a PhD/MD in CS/biomedical data science or related fields, with strong computer vision and vision-language models experience, plus the ability to publish and collaborate with