432 Education positions at Cedars Sinai Medical Center in United States in United States
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treatment, research and education? We would be happy to hear from you! Please consider the following exciting opportunity with one of the most outstanding and dynamic places to work in California as your next
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performance management. Oversees clinical staff education, growth, and development, and evaluates new models of care and the establishment of new specialties, procedures and practice sites. Ensures clear
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consultation with the Principal Investigator and other Research Scientist, the Research Fellow will perform routine and complex laboratory procedures throughout training period. May develop, adapt, and implement
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history, physical examinations, and diagnostic test interpretations. Develop personalized treatment plans and effectively communicate them to patients and their families. Perform procedures such as liver
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you join our team, you’ll gain access to our groundbreaking biomedical research facilities and advanced medical education programs. We offer learning programs, tuition reimbursement and performance
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; education/certifications/licensure; and other business and organizational factors. This total pay range includes incentive payments that may be applicable to this role. Pay Range: $331,966-$532,590 Total
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eight years in a row on the "Best Hospitals" Honor Roll. Cedars-Sinai Medical Center is an 889-bed non-profit, acute, quaternary, teaching Level I Trauma Center hospital located in the heart of Los
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The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply
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. It is a friendly and fast-paced environment that offer nurses opportunities for continuing education and new challenges in state of the art and innovative care for cardiology patients. As a Registered
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Join us as we translate today's discoveries into tomorrow's medicine! The primary goal of the Bright Lab is to develop algorithms and methods for detecting and correcting biases in machine-learning