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Assistant Professor, Medical Physicist, Radiation Oncology

Employer
Stanford University
Location
Stanford University
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Job Details

Work type: CE - Clinician Educator, University Medical Line
Location: Stanford University
Categories: School of Medicine

The Division of Radiation Physics in the Department of Radiation Oncology at Stanford University seeks motivated medical physicists to join the Division as Assistant Professors in the University Medical Line or Clinical Assistant Professors in the Clinician Educator lines. We are interested in candidates who are ABR board-eligible or board-certified and have a PhD, and a record of research in translational medical physics and clinical physics consistent with the focus of the appointment line.

The major criteria for appointment for faculty in the University Medical Line shall be excellence in the overall mix of clinical care, clinical teaching, scholarly activity that advances clinical medicine, and institutional service appropriate to the programmatic need the individual is expected to fulfill.

The major criterion for appointment as Clinician Educators 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.

Academic rank and line will be determined by the qualifications and experience of the successful candidate.

The UML line is characterized by a significant allocation of effort to research, with remaining effort mostly allocated to clinical care and teaching (20-40% research, 60% or more clinical care, 10% teaching). For UML line candidates, we expect the successful candidates to be excellent researchers in translational medical physics, dedicated teachers, and outstanding medical physicists. Strong hands-on experience with clinical IT and computational infrastructure is a significant plus.

The Clinician Educator line is characterized by the primary focus on clinical care (generally, 90% or more effort). CE candidates are to show initiative and commitment in their clinical and teaching roles. Involvement in departmental translational research initiatives would be strongly encouraged.

All candidates will be expected to participate in the clinical responsibilities of the Radiation Physics Division and provide clinical medical physics services across all clinical sites. A strong sense of initiative and a commitment to excellence in clinical practice, research, and teaching are required. Additionally, excellent communication skills and critical thinking are essential.

The department operates a wide range of state-of-the-art equipment across multiple sites, including two Accuray CyberKnife systems, one RefleXion X1, one ViewRay MRIdian, one Mevion S250Fit proton therapy platform, and three Varian TrueBeams at Palo Alto campus. Additionally, the department has two PET/CT simulators and a 3T MRI simulator. Treatment planning systems include the Accuray Precision, RaySearch Raystation and Varian Eclipse systems, integrated with the ARIA patient information system. The brachytherapy service (HDR and LDR) is supported by Bravos systems with BrachyVision and Vitesse real-time planning. The department also utilizes a Mobetron IntraOp electron accelerator and a Morpheus IORT unit. Stanford Medicine operates four satellite clinics in the Bay Area, with a total of seven Varian TrueBeams. In alignment with the division’s clinical coverage requirements, the candidates will be expected to provide coverage across both satellite sites and all clinical groups. Multiple positions are available at main site and satellites, brachytherapy experience is desired for one of the positions.

The activities of the Division/Department are diverse and include basic science and translational research programs in Radiation Biology, Radiation Physics, and Imaging, offering unique opportunities for the successful candidates to integrate into these research programs. The Stanford Cancer Center Palo Alto practice has been fully accredited by ASTRO’s APEx – Accreditation Program for Excellence.

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 Radiation Oncology 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.

Applicants are asked to submit a CV, cover letter, and a list of three references to apply. For consideration to the UML line, applicants are also asked to submit a brief research statement.

For questions, please contact Nora Ortiz at nortiz@stanford.edu.

Note: All applicants must apply via the Stanford Faculty Positions posting, created in FSAT. It is not possible to accept applications via email.

The expected base pay range for the positions is $193,000-$375,000.

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 candidates will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidates including equivalent years in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs.

Advertised: 07 Nov 2024 8:15 AM Pacific Standard Time
Applications close:

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