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Brain Imaging Research Jobs (NOW HIRING)

Support MRI and MEG research procedures; evaluate the appropriateness of a subject for participation in brain imaging research; conduct a clinical assessment concerning the degree to which a child ...

Support MRI and MEG research procedures; evaluate the appropriateness of a subject for participation in brain imaging research; conduct a clinical assessment concerning the * degree to which a child ...

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Brain Imaging Research information

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$45K

$83.1K

$157.5K

How much do brain imaging research jobs pay per year?

As of Jun 13, 2026, the average yearly pay for brain imaging research in the United States is $83,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $92,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Brain Imaging Research, and why are they important?

To thrive in Brain Imaging Research, you need a robust background in neuroscience, psychology, or biomedical engineering, often supported by an advanced degree (e.g., PhD) and research experience. Proficiency with neuroimaging tools such as MRI, fMRI, PET, and analysis software like SPM or FSL, as well as programming skills in Matlab or Python, is typically required. Strong analytical thinking, attention to detail, collaboration, and effective communication distinguish outstanding researchers in this field. These competencies are crucial for generating high-quality data, advancing scientific understanding, and effectively sharing findings within the research community.

What is brain imaging research?

Brain imaging research involves using advanced technologies, such as MRI, PET, fMRI, and CT scans, to study the structure and function of the brain. Researchers in this field analyze brain activity, anatomy, and connectivity to better understand neurological processes, mental health conditions, and cognitive functions. This research helps advance our knowledge of how the brain works and can lead to improved diagnosis and treatment of brain disorders.

What is the difference between Brain Imaging Research vs Neuroimaging Technician?

AspectBrain Imaging ResearchNeuroimaging Technician
Required CredentialsMaster's or PhD in neuroscience, psychology, or related fieldAssociate's or Bachelor's degree in health sciences or related field
Work EnvironmentResearch labs, universities, hospitalsHospitals, imaging centers, clinics
Employer & Industry UsageAcademic, research institutions, biotech companiesMedical facilities, hospitals, diagnostic centers
Common Search & ComparisonResearch roles, academic careers, advanced imaging studiesTechnical support, clinical imaging, patient interaction

Brain Imaging Research involves conducting advanced studies using imaging techniques to understand brain functions, often requiring higher education and research experience. Neuroimaging Technicians assist with operating imaging equipment and supporting clinical procedures, typically with technical certifications. Both roles are integral to brain imaging but differ mainly in education level, work setting, and job focus.

What are some common challenges faced by professionals in brain imaging research, and how can they be addressed?

One common challenge in brain imaging research is managing and interpreting large, complex datasets generated by modalities like MRI and fMRI. Ensuring data quality and reproducibility requires meticulous attention to preprocessing and analysis protocols. Collaborating effectively with multidisciplinary teams—including neuroscientists, radiologists, and data analysts—helps address these challenges by leveraging diverse expertise. Staying updated with evolving imaging technologies and analytical methods is also essential for successful research outcomes.
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Assistant/Associate/Full Specialist in Brain Imaging and Network Neuroscience

Assistant/Associate/Full Specialist in Brain Imaging and Network Neuroscience

University of California, San Francisco

San Francisco, CA • On-site

Full-time

Posted 11 days ago


Job description

Application Window
Open date: July 7, 2025
Most recent review date: Tuesday, Jul 22, 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: Thursday, Jan 7, 2027 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
Assistant/Associate/Full Specialist in Brain Imaging and Network Neuroscience
Study brain network mechanisms of chronic pain and pain relief from neuromodulation
Job Summary
We are seeking a brain imaging researcher and data analyst to join a multidisciplinary lab focused on understanding the brain network mechanisms underlying chronic pain and therapeutic relief through brain stimulation. The ideal candidate will have training and experience in the analysis of human brain imaging data, including functional MRI (fMRI) and diffusion tensor imaging (DTI), and a strong interest in translational neuroscience. Our research aims to identify reproducible brain network signatures of chronic pain and to understand how these networks change in response to therapeutic neuromodulatory interventions such as transcranial magnetic stimulation (TMS). Successful candidates should be scientifically motivated self-starters, comfortable working in a highly productive academic environment, and keen on applying cutting edge network neuroscience concepts to clinical brain imaging data.
Working closely with a collaborative team of clinicians and neuroscientists, the candidate will be involved in the acquisition, preprocessing, and analysis of high resolution structural and functional brain imaging data from patients with chronic pain. We are particularly interested in candidates seeking to apply advanced network neuroscience concepts (e.g., precision functional mapping, graph theory, hierarchical clustering, etc.) to clinical brain imaging data. This position provides an excellent opportunity to contribute to research that bridges systems neuroscience, pain medicine, and clinical neuroimaging. Successful candidates will interface with a large group of researchers applying neuromodulation (e.g., TMS, deep brain stimulation, focused ultrasound) and advanced imaging methods across neuropsychiatric disorders.
The appointment will be with the Motzkin Lab, which is part of the Department of Neurology at UCSF.
Required Qualifications:
  • Assistant Specialist : Master's degree or a baccalaureate degree in Neuroscience, Bioengineering, Computational Biology, Mathematics, Statistics, Psychology, or a related field with three or more years of research experience.
  • Associate Specialist : Master's degree (or equivalent degree) in one of the above disciplines or five to ten years of relevant experience.
  • Full Specialist : Terminal degree (or equivalent) in one of the above disciplines or ten or more years of relevant experience.
  • Proficiency in conventional MRI processing and analysis tools, including fMRIPrep, QSIPrep, AFNI, FSL, and/or SPM.
  • Strong programming skills in Python, Unix/Linux shell scripting, MATLAB and/or R.
  • Demonstrated experience conducting and managing neuroimaging analysis pipelines, including quality assurance and batch processing of datasets.
  • Experience with cloud-based storage and service tools is helpful

Preferred Qualifications:
  • MS or PhD in a relevant field
  • Experience with network neuroscience, graph theory, or connectomics
  • Familiarity with high-performance computing environments
  • Interest in translational research related to pain or neuromodulation

Please apply online at https://aprecruit.ucsf.edu/JPF05667 , with a letter of interest, CV, and contact information for three references.
For other inquiries, please contact: julian.motzkin@ucsf.edu
See Table 24B for the salary range for this position. A reasonable estimate for this position is $63,500-$194,800.
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 - letter of interest
  • Statement of Research (Optional)
  • Statement of Teaching (Optional)

Reference requirements
  • 3 required (contact information only)

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