We are seeking for a Junior, Assistant, Associate, or Full Specialist data/computer scientist to serve as the core research data science specialist for our research groups which are focused on applying quantitative multimodal imaging to a variety of questions related to neuropsychiatric and other brain disease as well as normal/abnormal brain development and aging. The successful candidate will have the opportunity to work on independent projects supervised by the lab PIs but will primarily work in collaboration with other lab researchers/trainees to develop and support analytic tools for lab projects. We are looking for candidate with a background and/or strong interest in neuroscience who is excited to apply their skills to imaging of normal and pathologic brain structure in support of the labs’ efforts, which include research projects based on large data sets such as those from the ABCD Study, Human Connectome, and UK Biobank projects as well as projects focused on smaller data sets collected from the lab or derived from the clinical EMR and clinical imaging databases at UCSF. The position will involve developing data analysis and collaborative tools using cloud-based platforms such as 'brainlife’ and developing and deploying new machine learning algorithms/applications.
Responsibilities will include some supervision of junior staff research assistants and junior trainees.
Specialists appointed at the Junior rank must possess a bachelor’s degree in mathematics, computer science, or related subject (or equivalent degree) or at least four years of research experience.
Specialists appointed at the Assistant or Associate ranks must possess a master’s degree (or equivalent degree) or at least five years to ten years of research experience.
Specialists appointed at the Full rank must possess a terminal degree (or equivalent degree) or ten or more years of research experience.
The successful candidate should have a strong background in mathematics and computer science, strong and varied data analytic skills, including experience and facility coding in such environments as matlab, R, and python.
Experience developing Machine Learning algorithms, working with large datasets, and experience directly related to development of image processing and analysis pipelines.
Prior experience working in the research lab setting is desired as are strong teaching/communication skills as the successful applicant will serve to help/supervise other lab researchers and trainees with their projects and to train others on the use of various analysis tools and pipelines.
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.
Internal Number: JPF03026
About University of California, San Francisco
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.