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Medicine - Artificial Intelligence Research Scientist Faculty
Company | CEDARS-SINAI |
Address | , Los Angeles, Ca |
Employment type | |
Salary | $71,094 - $265,200 a year |
Expires | 2023-10-06 |
Posted at | 9 months ago |
The Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Health System, Los Angeles is seeking candidates at the rank of Assistant Professor, Associate Professor or Professor with a focus in applied Artificial Intelligence. The primary role of successful candidates will be to lead an independent research program with a focus on developing and implementing AI-based basic, clinical or translational applications. Successful candidates will have requisite skills to initiate and engage in collaborative research. Cedars-Sinai has an established large, clinical data warehouse with opportunities to collaborate with clinicians, investigators and AI experts within multiple departments.
Cedars-Sinai Medical Center, a state-of-the-art, 866 bed tertiary acute care academic medical center is committed to excellence in compassionate patient care, research, education and community programs to improve the lives of our patients. Academic rank and compensation will be commensurate with experience and qualifications.
Our compensation philosophy
We offer competitive total compensation that includes pay, benefits, and other incentive programs for our employees. The base pay range shown above takes into account the wide range of factors that are considered in making compensation decisions including knowledge/skills; relevant experience and training; education/certifications/licensure; and other business and organizational factors. This base pay range does not include our comprehensive benefits package and any incentive payments that may be applicable to this role.
Pay Range: $71,094- $265,200.
At Cedars-Sinai Medical Center we are proud of our diverse and inclusive work environment. We are committed to recruiting, selecting and retaining an engaged workforce from many backgrounds, perspectives and experiences at all levels of the organization, including age, gender identity, race, religion, gender, sexual orientation, physical or mental disability, military and/or veteran status or any other basis protected by federal and state law.
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