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Assistant Professor of Research Neurological Surgery

University of Southern California

California, Los Angeles (MO, CA)

On-site

USD 80,000 - 120,000

Full time

9 days ago

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Job summary

An established industry player is seeking a dedicated Assistant Professor of Research in Neurological Surgery to join their renowned Keck School of Medicine. This exciting role involves developing advanced clinical decision-making tools through data analytics, leveraging expertise in artificial intelligence and machine learning. With access to extensive clinical datasets, you will have the opportunity to contribute to groundbreaking research while collaborating with a team of esteemed neurosurgeons and orthopaedic surgeons. This position offers a competitive salary, excellent benefits, and the chance to work with talented students at both USC and Caltech, making it an ideal opportunity for those passionate about advancing medical research.

Benefits

Competitive Salary
Excellent University Benefits
Access to Large Clinical Datasets
Internal Start-Up Funding

Qualifications

  • Track record of postdoctoral work in research environments.
  • Experience mentoring junior scientists/PhD candidates.

Responsibilities

  • Develop a data analytics program for advanced clinical decision-making tools.
  • Collaborate with surgeons and faculty on research projects.

Skills

Artificial Intelligence
Machine Learning
Data Analytics
Research Publications

Education

Doctoral Degree

Job description

Assistant Professor of Research Neurological Surgery
Apply
Keck School of Medicine
Faculty
Los Angeles, California

The University of Southern California (USC), founded in 1880, is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class research university and a member of the "Trojan Family," which is comprised of the faculty, students and staff that make the university what it is.

The Keck School of Medicine of USC Department of Neurological Surgery is currently seeking a full-time, non-tenure or tenure track Assistant Professor of Research in Neurological Surgery. This faculty member will work within the USC Spine Center and collaborate with surgeons to develop a data analytics program for advanced clinical decision-making tools. The ideal applicant will have expertise in artificial intelligence and machine learning, with a track record of research publications. This faculty member will have access to large institutional, national, and international clinical datasets to test and develop tools that will improve our ability to interpret digital health records, medical imaging, and patient interactions. This unique opportunity provides room for independent and collaborative research with a dedicated faculty of neurosurgeons, orthopaedic surgeons, physiatrists, and radiologists who are committed to building a world-class research program. Internal start-up funding is available and there will be opportunity to work with students at both USC and Caltech.

Applicants must have a doctoral degree. Ideal candidates will have a track record of postdoctoral work that demonstrates exceptional performance in research environments, leading projects, and working closely with or mentoring juniorscientists/PhD candidates during their research time. Experience in the field of spinal disorders is ideal, but not required. This position offers a competitive salary with excellent university benefits and an academic appointment at the Keck School of Medicine of USC appropriate to the level of training and experience.

Apply here and for further inquiries contact:

Steven L. Giannotta, M.D.

Professor and Chair, Department of Neurological Surgery

1200 North State Street, Suite 3000

Los Angeles, CA 90033

Office: 323-409-7422

e-mail: Steven.Giannotta@med.usc.edu

The University of Southern California strongly values diversity and is committed to equal opportunity in employment. Qualified women and men, and members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply.





REQ20123520 Posted Date: 09/14/2022
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