Top 1 Imaging assistant Jobs in Vallejo Ca

Imaging Scientist - Assistant/Associate/Full Professional Research Series
UC San Francisco Academic —San Francisco, CA
- $93,400 - $248,400 a year
- Online Application
- Doctoral degree
- C++
- University

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Imaging Scientist - Assistant/Associate/Full Professional Research Series
UC San Francisco Academic —San Francisco, CA
Appointees in the Professional Research series must possess a doctorate or its equivalent in Biomedical Engineering, Electrical Engineering, Physics, or a…
$93,400 - $248,400 a year
Faculty Radiochemist
UC San Francisco Academic —San Francisco, CA
The candidate will work collaboratively with faculty within the Department of Radiology and Biomedical Imaging and other departments at UCSF to advance the…
$200,000 - $320,000 a year
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Imaging Scientist - Assistant/Associate/Full Professional Research Series

UC San Francisco Academic -
San Francisco, CA

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Job Details

$93,400 - $248,400 a year

Qualifications

MATLAB
Clinical research
Doctoral degree
Research proposal writing
Publishing papers in peer-reviewed journals
Biomedical Engineering
User training (technical support)
Algorithms
Collaborative research
Research industry grant writing
C++
Radiologic image processing
User support
Engineering research
Doctoral degree in physics
Physics
Research data analysis
PET scanners
Senior level
Electrical Engineering
Manuscripts for peer-reviewed journals
Translational research
Using MRI scanners
Doctoral degree in electrical engineering
Communication skills
Python
Cross-functional communication

Full Job Description

Application Window

Open date: June 12, 2025

Most recent review date: Monday, Jun 30, 2025 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Saturday, Dec 12, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position description

The MR and PET/MR Imaging Core located at China Basin is seeking applications for a Professional Researcher at the Assistant, Associate, or Full rank.

The successful candidate will play a pivotal role in facilitating the development, transfer, and optimization of advanced MR and PET/MR imaging techniques for translational and clinical applications. Responsibilities include collaborating with researchers to develop and implement pulse sequences and reconstruction algorithms on Siemens and GE platforms. Assisting in protocol optimization to ensure consistency and quality across imaging studies. Providing technical support and training to researchers utilizing the MR and PET/MR Core facilities. Contributing to grant proposals and publications by providing imaging expertise and data analysis. Staying abreast of the latest developments in MR and PET/MR imaging technologies to inform core facility offerings.

Required Qualifications:

Appointees in the Professional Research series must possess a doctorate or its equivalent in Biomedical Engineering, Electrical Engineering, Physics, or a related field.

Preferred Qualifications:

Excellent communication and collaborative skills to work effectively with a multidisciplinary team.
Demonstrated experience in MR imaging, including pulse sequence development and image reconstruction.
Proficiency with Siemens or GE MR systems, including familiarity with their respective development environments, aiming to support translational and clinical research across multiple platforms.
Strong programming skills relevant to imaging applications (e.g., MATLAB, Python, C++).
Experience in MR and PET/MR imaging and associated data analysis techniques.
Prior involvement in grant writing and securing research funding.
Track record of publications in peer-reviewed journals related to imaging science.

See Table 13B for the salary range for this position. A reasonable estimate for this position is $93,400-$248,400.

Please apply online at https://aprecruit.ucsf.edu/JPF05635 with CV. Applicant materials must list current and/or pending qualifications upon submission. The selected candidate must meet all of the qualifications at the time of appointment.

Application Requirements

Document requirements

Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
Cover Letter (Optional)
Statement of Research (Optional)

About UC San Francisco

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

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.

UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

“Misconduct” means any violation of the policies or laws governing conduct at the applicant’s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.
UC Sexual Violence and Sexual Harassment Policy
UC Anti-Discrimination Policy
APM - 035: Affirmative Action and Nondiscrimination in Employment

Job location

San Francisco, CA

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Imaging Scientist - Assistant/Associate/Full Professional Research Series

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