Skip to content

General Information

Job Name
Staff Research Associate I/II
Department
1471000 - M Radiology
Position type
Full Time
Workplace
Fully On-Site
Primary Location
United States
Job ID
404

Description & Requirements

Job Description

The Radiology Department is hiring for a Staff Research Associate (SRA). The SRA will work with state-of-the-art 3T and 7T research MRI scanners, as part of prospective cross-sectional and longitudinal clinical research studies with correlation to genomics and neurocognitive testing. The SRA will have the opportunity to work closely with physicians, surgeons, imaging scientists and engineers, as well as cognitive neuroscientists.  The focus of the work will be on acquiring, analyzing, and integrating advanced MR imaging data on patients with neuropsychiatric diseases and/or brain injury as well as control volunteers, including fMRI and diffusion tractography.  The emphasis will be on artificial intelligence and machine learning (AI/ML) analysis of large imaging datasets using the latest cloud-based and hybrid neuroinformatics platforms. The knowledge and skills learned provide excellent preparation for medical school or for graduate school in neuroscience or psychology or for industry positions in AI/ML applied to Big Data. 

 

 

 

Qualifications
SRA 1: - Candidate should have a B.A., B.S. or equivalent degree in a science, mathematics, or engineering field, or in psychology. - Previous exposure to a biomedical research laboratory environment; - Experience with basic scientific methodology and anatomy - Experience with statistics, computer programming and the Linux programming environment - Excellent communication skills, written and oral - Excellent skill with word processing, spreadsheet and database software - Self-motivated with the ability to prioritize multiple projects and meet deadlines - Proven ability to work independently and keen attention to detail - Demonstrated record of reliability & excellent attendance SRA 2: In addition to the above... - BA/BS in a related science and one or more years of recent, directly related work experience, utilizing the techniques or methods required by the position and demonstrating technical expertise in these areas; and/or equivalent experience/training. Preferred Qualifications: - Prior experience with medical imaging - Prior experience coding in Python, MATLAB and/or R
About UCSF
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 excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.
Pride Values
UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as https://www.ucsf.edu/about/mission-and-values . In addition to , UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available https://diversity.ucsf.edu/ . Join us to find a rewarding career contributing to improving healthcare worldwide.
EEO Statement
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Additional Details

Job Code
SRA 2 (009612)
Assignment Category
Career
IAP Level
None
Job Family
Research and Laboratory
Campus 1
Zuckerberg San Francisco General (ZSFG)
Percentage (%)
100
Shift Length
8 hours
Shift Type
Day
Bargaining Unit
RX
Go back

Similar jobs

View all