Associate Professor of Surgery - Division of Surgical Oncology
Application Window
Open date: July 18, 2024
Most recent review date: Saturday, Aug 17, 2024 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Sunday, Jan 18, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
Associate Professor of Surgery
Division of Surgical Oncology
Department of Surgery
University of California, San Francisco
The Department of Surgery, Division of Surgical Oncology at University of California, San Francisco is seeking a full time investigator at the rank of Associate Professor in the In-Residence series. Qualified applicants should have a PhD and a background and training in computational health sciences, molecular biology, genetics, and outcomes modeling. Applicants should have domain knowledge in the field of breast cancer, quality of life metrics, expertise and interest in the intersection between computational sciences and cancer therapeutics, clinical and genetic markers of drug response and toxicities, and quality of life indicators.
The specific areas of expertise should include big data analytics, visualizations, biomarker data repository development, clinical decision support, bioinformatics, clinical research informatics, machine learning, clinical trials, and related areas. The selected candidate will be able to work well in a multidisciplinary environment. The candidate will be expected to have extensive experience in the integration of state-of-the art machine learning methodology in clinic care workflows and medicine. A background in engineering is desirable.
This position will be expected to be active in the ongoing development and management of the integrated biomarker database repository for a number of our large platform trials, and managing a data scientist/engineer to keep it current. Another role is to identify genetic susceptibility markers for serious adverse events and early predictors of toxicity. This position will be expected to work in collaboration with our trial modeling team to develop trial endpoints that integrate efficacy and toxicity.
This position will require the teaching of computational techniques to postbaccalaureate students, postdoctoral students, and residents, and mentoring of students and fellows in related projects. The ability to work well in teams is essential.
Candidates must have recognized skills in the education of surgery residents and medical students and will be expected to be active participants in the Department’s residency training and educational programs.
The posted UC salary scales set the minimum pay determined by rank and step at appointment. See Table 5. The minimum base salary range for this position is $145,500 - $183,500. This position includes membership in the health sciences compensation plan which provides for eligibility for additional compensation.
Please apply online at https://aprecruit.ucsf.edu/JPF05167.
Application Requirements
Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
Cover Letter
Statement of Research
Statement of Teaching
Statement of Contributions to Diversity - Please see the following page for more details: Contributions to Diversity Statement
Misc / Additional (Optional)
- 5 required (contact information only)
About UC San Francisco
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/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, age or protected veteran status.