The Hylton lab is looking for an Assistant/Associate/Full Specialist in the area of image computation in breast cancer is available within the UCSF Department of Radiology and Biomedical Imaging. The candidate will be responsible for managing a SQL database for the longstanding San Francisco Mammography Registry (SFMR) and will work with a multidisciplinary team of researchers to facilitate studies using quantitative imaging analysis for breast cancer detection, diagnosis and risk assessment. Fifty percent effort will be devoted to the SFMR database and 50% to computational activities related to breast MRI research. Duties will include 1) oversight and management of large mammography database, including collection of digital and tomosynthesis images from radiology facilities and loading of images into a SQL database with ability to modify Matlab scripts as needed, 2) running Python and R analysis software to process MR image data, 3) measuring quantitative breast density on mammography images using Volpara software, measuring cancer risk scores using Transpara software, and providing Volpara and Transpara measures to SFMR programmers for linkage to mammography results, risk factor, and cancer data, 4) deidentifying images with the ability to modify Matlab scripts as needed and performing image data transfers to academic collaborators, 5) implementing quality control procedures and monitoring quality assurance to ensure data capture of images is complete, 6) ensuring sufficient disk space is available for image database, 7) ensuring data security and access issues, and 8) producing summary reports of various data items using SAS. The candidate will also develop and implement image computational approaches, including machine learning and artificial intelligence (AI) strategies, for imaging biomarker studies of breast cancer.
The position requires a M.S or higher degree with training in quantitative image analysis, and bioinformatics and/or machine learning. Experience in Matlab, SQL, and the Linux and Unix programming environments are essential and experience in Python and SAS programming strongly preferred. This position requires a highly motivated individual with excellent verbal and written communication skills. Experience in breast mammography and MR imaging or breast cancer research would be highly desired. Candidates must meet the required qualifications by the time of appointment. Candidate’s CV must state qualifications (or if pending) upon submission.
UC San Francisco seeks candidates whose experience, teaching, research, or community service that 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.
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and high-quality patient care. It is the only UC campus in the 10-campus system dedicated exclusively to the health sciences.