Radiology
Part Time
76950BR
Job Summary
**This is a Limited Appointment position for a duration of one year**
The Department of Radiology at UCSF has a position available for a Staff Research Associate in the laboratory of Dr. An Vu, a researcher in the development and application of high spatiotemporal resolution MRI technologies.
Our lab aims to develop advanced MRI technologies and methods for the analysis, quantification and processing of medical imaging data, especially neuroimaging data.
The Staff Research Associate will assist in the aggregation of MRI data collected for the lab to study the efficacy of various new MRI technologies. The candidate is expected to perform image-based analysis and give presentations to the group. Also, expected to participate in journal clubs and manuscript preparation. Excellent communication and analytic skills are essential.
The final salary and offer components are subject to additional approvals based on UC policy.
To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (https://tcs.ucop.edu/non-academic-titles)
Please note: An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.
For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range.
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html
Department Description
The UCSF Department of Radiology Imaging IT team architects, implements, and manages the computer systems and networks needed to support more than 700,000 imaging studies annually. Our team manages the full stack from network to application and end user support. The team provide Monday – Friday, 8am to 5pm support including evening and weekend call to support the Medical Center needs.
Required Qualifications
- BA/BS in a related science and one or more years of recent/directly related work experience, utilizing the techniques/methods required by the position; and/or equivalent experience/training
- Working knowledge with imaging analysis packages
- Self-motivated with the ability to prioritize multiple projects and meet deadlines
- Ability to work independently under tight deadlines
Preferred Qualifications
- Experience with MRI image analysis
- Advanced degree
- Advanced computer programming skills in Linux, Bash, MATLAB and / or Python
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 our PRIDE values.
In addition to our PRIDE values, 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 at diversity.ucsf.edu
Join us to find a rewarding career contributing to improving healthcare worldwide.
Equal Employment Opportunity
The University of California San Francisco 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, age, protected veteran or disabled status, or genetic information.
Job Code and Payroll Title
009617 SRA 2 NEX
Job Category
Research and Scientific
Bargaining Unit
University Professional Technical Employees – Research Support Professionals Unit (UPTE-RX)
Employee Class
Limited Appt
Location
San Francisco VA Medical Center
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