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Posted: 15-Aug-23
Location: Palo Alto, California
Type: Full Time
Salary: $185,000 - $366,000
Years of Experience:
Preferred Education:
The Division of Medical Physics in the Department of Radiation Oncology at Stanford University seeks a Ph.D. to join the Department as an Assistant Professor in the University Tenure Line (UTL) or the Non-Tenure Research Line (NTRL). We are particularly interested in candidates who have committed to developing a premier academic program focused on artificial intelligence (AI) applications in biomedical physics (BMP) to bridge the gap between BMP and cancer biology and therapeutics. Applicants must have completed a Ph.D. and postdoc, with research in medical physics, engineering, bioinformatics, or related disciplines. Ideal applicants will have experience in AI, medical imaging and physics, or bioinformatics.
Applicants must have an interest in leading an independent research program and have the desire to closely collaborate with other investigators in the Division, Department, and across Stanford campus. Ideally, the successful applicant will spend most of the time on their independent research program and approximately 20% on collaborating with members of the Division and Department to support the needs of translational AI research. The ideal candidate will have potential trajectory and/or demonstrated breadth of preparation, as exemplified by significant research experience. While applicants are not expected to have had previous funding, with time the successful candidate will be expected to obtain substantial grant funding (e.g., NIH award(s)) to support a sustainable AI research program. The successful candidate will have the support of the Department and to that end, will have access to Department resources, research mentoring, and a wide array of professional development training opportunities.
The predominant criterion for appointment in the University Tenure Line is a major commitment to research and teaching. The major criterion for appointment for faculty in the Non-tenure Line (Research) is evidence of high-level performance as a researcher for whose special knowledge a programmatic need exists. Faculty rank and line will be determined by the qualifications and experience of the successful candidate.
The activities of the Division/Department are diverse and include a strong basic science and translational research programs. The Department is tightly integrated into the medical school and university and leads a Radiation Biology research program within the Stanford Cancer Institute, a National Cancer Institute Designated Comprehensive Cancer Center. Consideration of candidates will begin immediately.
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/diversity-statement.
Submit CV, a brief statement of research and the names of three references to:
Note: All applicants must apply via the Stanford Faculty Positions posting, created in FSAT. It is not possible to accept applications via email.
For questions, please contact Nora I. Ortiz (search administrator) at nortiz@stanford.edu. To expedite response to your question, please include your name and “BMP UTL/NTRL Search” in your email subject line.
The expected base pay range for this position is:
Assistant Professor: $185K – 203K
Associate Professor: $218K – 242K
Professor: $266K – 366K
This pay range reflects base pay, which is based on faculty rank and years in rank. It may not include all components of faculty compensation 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.
In addition, the department offers paid relocation expenses, start-up funds, development funds, administrative support, and a generous space at Stanford Research Park, a community hub which houses R&D operations for global enterprises.
Why Stanford is for you:
Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:
- Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
- A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
- A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
- Discovery and fun. Stroll through historic sculptures, trails, and museums.
- Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.
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Applicants must have completed a Ph.D. and postdoc, with research in medical physics, engineering, bioinformatics, or related disciplines. Ideal applicants will have experience in AI, medical imaging and physics, or bioinformatics.
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Applicants must be committed to developing a premier academic program focused on artificial intelligence (AI) applications in biomedical physics (BMP) to bridge the gap between BMP and cancer biology and therapeutics.
- Applicants must have an interest in leading an independent research program and have the desire to closely collaborate with other investigators in the Division, Department, and across Stanford campus.
