MRI Staff Imaging Physicist

at  California State University

POSITION SUMMARY

This MRI Physicist (Research Technician III) in the SDSU MRI Center will work closely with the Center Director, Lab Manager, and the MRI Users to ensure continuity and stability of Center systems, install and implement newly available sequences, and facilitate successful user-initiated research. The position will provide support and problem-solving services to clinical and research MRI projects utilizing the facility. They will also monitor systems for critical errors and coordinate Siemens service visits as needed as well as maintain timely communication with users regarding errors, artifacts, technical issues, and scheduled upgrades. The Research Technician III has the responsibility to implement applications of new imaging methods for the 3T MRI scanner and will design and oversee daily and weekly quality assurance programs. They will establish new programs with focus on MRI quality control protocols as needed to conform to performance standards and will serve as a member of the MRI safety committee, oversee policies and procedures, address safety issues, and review the MRI safety program and will also assist in maintaining MRI-related equipment, e.g., stimulus presentation equipment.
This is a full-time (1.0 time-base), benefits eligible, temporary position with the anticipated end date of August 31, 2024. This position is designated as exempt under FLSA and is not eligible for overtime compensation. Standard SDSU work hours are Monday – Friday, 8:00 a.m. to 4:30 p.m., but may vary based on operational needs.
The individual hired into this role will work on campus at SDSU in San Diego.

DEPARTMENT SUMMARY

The SDSU MRI Center is a research MRI facility hosting a 3T Siemens Prisma scanner in support of academic research across multiple departments (Psychology, Physics, Speech Language and Hearing Sciences, Mechanical Engineering). The majority of current users focus on brain imaging (functional, structural, diffusion, spectroscopy, etc.), but researchers in neurotechnology and exercise physiology also use the facility.
The College of Sciences includes eight academic departments, an additional eight degree-issuing programs, eight joint doctoral programs, seventeen research centers and institutes, fifteen Student Support Programs, numerous research groups, clinics and labs, as well as a number of off-campus instructional and research centers, including the Mount Laguna Observatory, Santa Margarita Ecological Reserve, Sky Oaks Field Stations, Fortuna Mountain Research Reserve, Tijuana River National Estuarine Research Reserve and the Coastal & Marine Institute. There are over 300 full- and part-time faculty and 100 clerical and technical employees. There are a wide variety of interests in both teaching and research. The Dean directs the College with the support of two Associate Deans, one Assistant Dean of Student Affairs, an Administrator I, and administrative support staff. The Dean’s Office is responsible for all activities emanating from the creation, implementation, and provision for the continued support and future planning of the instructional and research process in the College.

EDUCATION AND EXPERIENCE

Three years of progressively responsible technical research or statistical experience including or supplemented by one year in the interpretation and graphic presentation of data.
Graduate study in the social sciences, economics, mathematics, statistics, public or business administration or engineering may be substituted for the required experience on a year-for-year basis.
And
Education equivalent to graduation from a four-year college or university. (Additional qualifying professional experience may be substituted for the required education on a year-for-year basis.)

KEY QUALIFICATIONS

• Ph.D. in an engineering, computer science, physical science or related scientific field such as Biomedical Engineering, Medical Biophysics, Electrical Engineering, or Physics is preferred.
• Experience with MRI and data analysis.
• MRI pulse sequence development knowledge on Siemens platform.
• Familiarity with Siemens Prisma.
• Evidence of strong analytical skills such as critical thinking, data analysis, and research.

Please refer the Job description for details