An opportunity for an Associate Specialist to work on curating and annotating MRI imaging data sets of the spine, he/she will be running established models and pipelines for segmentation and anomaly detection of large data sets. He/She will be collecting and analyzing the results. In addition to data processing, he/she will manage data transfer set pipeline to automatically save raw data form MRI scanner and work on sequence optimization and testing. The specialist will be trained on the development of the deep learning pipelines, training the models, testing the models for automatic segmentation of the spine and he/she will be task to prepare the data for publication, working together with Drs. Pedoia and Majumdar, as well as under guidance by these researchers, to publish these studies.
• The candidate must have previous experience in Musculoskeletal Imaging, MRI image acquisition and Processing.
• The candidate must have a master’s degree or equivalent degree or five to ten years of experience in relevant specialization.
• Post-graduate training in field
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.