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Neuroimaging Scientist

University of California - San Francisco
United States, California, San Francisco
Feb 13, 2025

Neuroimaging Scientist

Radiology

Full Time

83835BR

Job Summary

The Neuroimaging scientist will work closely with the Neuroimaging Technology Research Center (NTRC) scientific and technical directors, collaborating with a multidisciplinary team of experts.

This team supports multiple projects aimed at enhancing our understanding and developing innovative treatment approaches for a range of neuropsychiatric conditions, from major depression to chronic pain. The Neuroimaging scientist will bring expertise that will integrate neuroimaging data with behavioral and physiological monitoring, leveraging advanced neuromodulation technologies.


This position be until Sept 30, 2026 and will be a hybrid position.

The final salary and offer components are subject to additional approvals based on UC policy.

Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.

The salary range for this position is $88,900 - $138,000 (Annual Rate).

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 Department of Radiology & Biomedical Imaging at UCSF combines clinical excellence, trailblazing research,
and outstanding education in a leading academic health sciences institution. Our faculty includes some of the
foremost names in diagnostic and interventional radiology today.

The Department of Radiology and Biomedical Imaging provides state-of-the-art clinical imaging for patients. In
addition, it conducts world-class scientific research to develop the next generation of clinical imaging tools and
techniques to fight cancer and other life-threatening medical conditions globally.

Required Qualifications


  • Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience
  • Minimum of 3 years of related experience
  • Thorough experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base
  • Proven ability to successfully work on multiple concurrent projects
  • Proven ability to understand research computing / data / CI needs, mapping use cases to requirements and how systems / software / infrastructure can support those needs and meet the requirements. Demonstrated ability to develop and implement such solutions
  • Demonstrated broad experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI
  • Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators
  • Intermediate knowledge of HPC / data science / CI
  • Advanced skills, and demonstrated experience associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, Implementation and deployment of HPC or data science or CI applications and tools
  • Demonstrated ability to regularly interface with management
  • Demonstrated ability to contribute research and technical content to grant proposals
  • Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences
  • Proven skills and experience in independently resolving broad computing / data / CI problems using introductory and / or intermediate principles
  • Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines

Preferred Qualifications

NA

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.

Organization

Campus

Job Code and Payroll Title

006104 CMPTL AND DATA SCI RSCH SPEC 3

Job Category

Radiology

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Contract

Percentage

100%

Appointment End Date

30-Sep-2026

Location

San Francisco, CA

Campus

Mission Bay (SF)

Work Style

Hybrid

Shift

Days

Shift Length

8 Hours

Additional Shift Details

M-F, 8-5

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