AI-Driven Surgical Outcomes Professor

Sacbar; Palo Alto (CA); Hybrid; USD 380,000 - 566,000; Full time

Job summary

Stanford University invites applications for faculty positions in the Stanford-Surgery Policy Improvement Research & Education Center (S-SPIRE) within the Department of Surgery. The appointee will develop and implement AI-based research to improve surgical decision-making and patient outcomes, while collaborating with surgeons, data scientists, and translational researchers.

Positions span Assistant Professor to Professor in UML/UTL/NTL-R lines, with expectations in research, teaching, and

Qualifications

• Ph.D. in AI-related Data Science, CS, Biomedical Engineering, or related field required for UTL and NTL-R lines.
• Experience collaborating with surgeons, data scientists, and researchers to advance translational surgical research.
• MD/DO or equivalent and board-certification for UML track.

Responsibilities

• Develop and implement AI-driven research initiatives to enhance surgical decision-making and patient outcomes.
• Collaborate with multidisciplinary teams including surgeons, data scientists, and researchers.
• Contribute to academic mission through research, teaching, and mentoring of students and junior faculty.

Skills

AI research

multidisciplinary collaboration

teaching & mentorship

Education

Ph.D. in AI-related Data Science/CS/BME or related field

Job description

Stanford University invites applications for faculty positions in the Stanford-Surgery Policy Improvement Research & Education Center (S-SPIRE) within the Department of Surgery. The appointee will develop and implement AI-based research to improve surgical decision-making and patient outcomes, while collaborating with surgeons, data scientists, and translational researchers.

Positions span Assistant Professor to Professor in UML/UTL/NTL-R lines, with expectations in research, teaching, and