Basic Life Research Scientist (1 Year Fixed Term)
S
Stanford University
📍 Stanford, CA, United States
Job Description
**Job Description**
The Department of Anesthesiology, Perioperative, and Pain Medicine, at Stanford University’s School of Medicine, is a world-leading department that offers comprehensive training and perioperative patient care, pain management, and critical care medicine as well as cutting-edge research, encompassing a wide spectrum of programs in basic, translational, clinical, health services and medical education.
The Aghaeepour Lab in the Department of Anesthesiology, Perioperative and Pain Medicine is seeking a Basic Life Research Scientist. The Basic Life Research Scientist will join an interdisciplinary AI/ML research lab focused on developing and deploying machine learning methods in clinical medicine. The successful candidate will contribute to research projects involving machine learning and multimodal biomedical data; provide technical input and mentorship to trainees; contribute to manuscript development; and collaborate with clinical and computational t...
The Department of Anesthesiology, Perioperative, and Pain Medicine, at Stanford University’s School of Medicine, is a world-leading department that offers comprehensive training and perioperative patient care, pain management, and critical care medicine as well as cutting-edge research, encompassing a wide spectrum of programs in basic, translational, clinical, health services and medical education.
The Aghaeepour Lab in the Department of Anesthesiology, Perioperative and Pain Medicine is seeking a Basic Life Research Scientist. The Basic Life Research Scientist will join an interdisciplinary AI/ML research lab focused on developing and deploying machine learning methods in clinical medicine. The successful candidate will contribute to research projects involving machine learning and multimodal biomedical data; provide technical input and mentorship to trainees; contribute to manuscript development; and collaborate with clinical and computational t...