Work type: CE - Clinician Educator

Location: Stanford University

Categories: School of Medicine

The Division of Intraoperative Neurophysiologic Monitoring (IONM) in the Department of Neurology at Stanford University seeks a board-certified neurologist to join the Department as Clinical Assistant Professor in the Clinician Educator Line.

The major criterion for appointment in the Clinician Educator Line is excellence in the overall mix of clinical care, teaching, administrative and/or scholarship appropriate to the programmatic need the individual is expected to fulfill.

The successful applicant should have an M.D., D.O. or M.D./Ph.D. or equivalent degree. Candidates must be board eligible/certified in Neurology; and have completed fellowship training or post residency training in IONM and/or clinical neurophysiology. Experience and expertise performing IONM is required. We are particularly interested in candidates who have experience in

We are particularly interested in candidates who have general clinical neurophysiology or one of the subspecialty areas, such as EMG, EEG or evoked potentials and are board certified in clinical neurophysiology.

Responsibilities include performing IONM and clinical neurophysiology at Stanford Health Care, Lucille Packard Children's Hospital and affiliated hospitals. Secondary clinical responsibilities will include outpatient clinic in the candidate's area of expertise. Teaching responsibilities include teaching medical students, residents, and fellows. The candidate is also expected to participate in the IONM Division's scholarly and clinical research activities.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University's research, teaching and clinical missions.

The Neurology Department, School of Medicine, and Stanford University value faculty who will help foster an inclusive academic environment for colleagues, students, and staff with a wide range of backgrounds, identities, and outlooks. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these ideals. Additional information about Stanford's IDEAL initiative may be found here:

https://ideal.stanford.edu/about-ideal/diversity-statement
.

Applications can be submitted at Stanford University's Faculty Positions website. Please include your CV, a brief candidate statement, and the names of three references. To begin, please click on the Apply Now button at the following link:

https://facultypositions.stanford.edu/cw/en-us/job/494699/intraoperative-neurophysiologic-monitoring-ionm

Questions should be directed via e-mail to S. Charles Cho, MD, Search Committee Chair, c/o Christina (Sabathia) Carter, search administrator csabathi@stanford.edu.

To expedite response to your question, please include your name and "IONM CE Search" in your email subject line. Please note that we cannot accept applications via email. Candidates must apply using the Stanford Faculty Positions link above.

Visit our department website at: https://med.stanford.edu/neurology.html

California Pay
Transparency Information:

The expected base pay range for this position are:

Clinical Assistant Professor: $235,000 - $253,000

Clinical Associate Professor: $265,000 - $283,000

This pay range reflects base pay, which is based on faculty rank and years in rank. It does not include all components of the School of Medicine's faculty compensation program or pay from participation in departmental incentive compensation programs. For more information about compensation and our

wide-range of benefits
, including

housing assistance
, please contact the hiring department.

Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs.

Advertised: 12 Mar 2024 9:00 AM Pacific Daylight Time

Applications close: