Assistant, Associate, or Full Professor: Stanford - Surgery Policy Improvement Research &...

Sacbar; Pacifica (CA); On-site; USD 196,000 - 420,000; Full time

Job summary

The Stanford-Surgery Policy Improvement Research & Education (S-SPIRE) Center at Stanford University seeks a candidate to develop and implement AI-enabled research advancing surgical decision-making and translational science. Appointments may be Assistant Professor, Associate Professor, or Professor in UML, UTL, or NTL-R lines.

Applicants should have a PhD in AI-related data science or related fields; UML applicants require MD/DO and board certification.

Qualifications

• PhD required for UTL/NTL-R tracks; MD/DO with clinical board certification required for UML.
• Candidates should demonstrate potential for high-impact research and teaching.
• Collaborative work with surgeons, data scientists and researchers is essential.

Responsibilities

• Develop and implement AI-driven research to improve surgical decision‑making.
• Collaborate with multidisciplinary teams across clinical and computational sciences.
• Contribute to teaching, mentorship and scholarly activity within the department.

Skills

Multidisciplinary collaboration

Research leadership

Teaching & mentorship

Education

PhD in AI-related Data Science / CS / Biomedical Eng or related

MD/DO and board-certified for UML path

Job description

The Stanford-Surgery Policy Improvement Research & Education (S-SPIRE) Center in the Department of Surgery at Stanford University seeks a candidate with expertise in developing and implementing research initiatives that leverage AI techniques to enhance surgical decision-making, improve patient outcomes, and/or advance translational surgical research to join the Department as Assistant Professor, Associate Professor, or Professor in the University Medical Line (UML), University Tenure Line (UTL), Non-Tenure Line (Research) (NTL-R). We are particularly interested in candidates who have experience and interest to collaborate with multidisciplinary teams including surgeons, data scientists, and researchers, and to contribute to the academic mission of the department through research, teaching and mentorship. Ph.D. in AI-related Data Science, Computer Science, Biomedical Engineering, or a related field is required for applicants to the UTL and NTL-R lines. Applicants to the UML position should have an MD/DO or its equivalent and be board-certified in a clinical specialty.

The predominant criterion for appointment in the University Tenure Line (UTL) is a major commitment to research and teaching
The major criteria for appointment for faculty in the University Medical Line (UML) 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 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.

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 welcomes applications from all who would bring additional dimensions to the University’s research, teaching and clinical missions.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact [e-mail].

The university’s central functions of research and education depend on freedom of thought, and expression. The Department of Surgery, School of Medicine, and Stanford University value faculty who will help foster an open and respectful academic environment for colleagues, students, and staff with a wide range of backgrounds, identities, and perspectives. 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 values.

For questions, please contact Aaron McLean at [e-mail].

The expected base pay range for this position is:

Clinical

Assistant Professor: $380,000 - $410,000

Associate Professor: $443,000 - $485,000

Professor: $524,000 - $566,000

Basic/Translational Science

Assistant Professor: $196,000 - $218,000

Associate Professor: $231,000 - $255,000

Professor: $277,000 - $382,000

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 upon hire. 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.