Open date: April 11, 2024
Most recent review date: Friday, Apr 26, 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: Saturday, Oct 11, 2025 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.
Larson Lab - Junior/Assistant/Associate/Full Specialist
The Larson Lab is seeking a Junior, Assistant, Associate, or Full Specialist. This position is focused on using modern machine learning and computer vision algorithms for automated large-scale analyses of cancer imaging data, working with Dr. Thomas Hope (https://profiles.ucsf.edu/thomas.hope) and Prof. Peder Larson (http://www.radiology.ucsf.edu/research/labs/larson).
More specifically, positron emission tomography (PET) with prostate-specific membrane antigen (PSMA) based agents is transforming the assessment of lethal advanced prostate cancers. UCSF and Dr. Thomas Hope have led the clinical translation of this agent, and a key next step is to develop advanced tools for analyzing PSMA PET data. This promises to maximize the utility by improving our understanding how the measurements in PSMA PET images in relation to diseases progression and treatments.
We propose to develop such advanced analysis tools using modern machine learning and computer vision methods to automatically segment and classify lesions as well as provide quantitative measures of localized disease burden.
The responsibilities of this position include:
Required Qualifications:
Preferred Qualifications:
See Table 24B for the salary range for this position. A reasonable estimate for this position is $51,300-$181,800.
Please apply online at: https://aprecruit.ucsf.edu/JPF05026 with a cover letter, CV, and contact information for two references.
Cover Letter
Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
Statement of Research (Optional)
Statement of Teaching (Optional)
Statement of Contributions to Diversity - Please see the following page for more details: Contributions to Diversity Statement
(Optional)
Misc / Additional (Optional)
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.