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Neuroimaging Analyst Jobs (NOW HIRING)

State of South Carolina

Postdoctoral Fellow

Columbia, SC · On-site

$45K - $61K/yr

D. in neuroscience, biomedical engineering, psychology, computational neuroscience, or a related discipline; • Strong background in human neuroimaging analysis (e.g., FSL , SPM , AFNI , MRtrix, or ...

Washington University of St. Louis

Experience with neuroimaging-behavior and/or neuroimaging-genetics analysis. * This position is ideal for a candidate who is familiar with emerging AI techniques, neuroimaging methods, and ...

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Neuroimaging Analyst information

What is the difference between Neuroimaging Analyst vs Neuroimaging Technician?

AspectNeuroimaging AnalystNeuroimaging Technician
Required CredentialsBachelor's or Master's in neuroscience, psychology, or related field; experience with neuroimaging softwareAssociate's degree or certification; training in neuroimaging equipment
Work EnvironmentResearch labs, hospitals, universities; data analysis focusImaging centers, hospitals; equipment operation and data collection
Employer & IndustryAcademic, healthcare, research institutionsHospitals, imaging clinics, research facilities

Neuroimaging Analysts primarily focus on analyzing brain imaging data using specialized software, while Neuroimaging Technicians handle the operation of imaging equipment and data collection. Both roles are essential in neuroimaging research and clinical settings, but they differ in responsibilities and required qualifications.

How to become a neuroimaging analyst?

To become a neuroimaging analyst, typically a bachelor's degree in neuroscience, psychology, computer science, or a related field is required, often followed by a master's or Ph.D. for advanced roles. Skills in neuroimaging software (such as SPM, FSL, or AFNI), programming languages (like Python or MATLAB), and experience with MRI or fMRI data analysis are essential. Gaining practical experience through internships or research projects can also improve job prospects.

What field is the highest paid data analyst?

Among data analysts, those specializing in finance, technology, or healthcare tend to have the highest salaries, especially when combined with advanced skills in machine learning, statistical analysis, and data visualization tools. Neuroimaging analysts, a specialized subset, typically earn less than data analysts in these high-paying sectors but may command higher salaries with advanced neuroimaging techniques and certifications.

How much does neuroimaging make?

Neuroimaging analysts typically earn between $60,000 and $90,000 annually, depending on experience, education, and location. Advanced skills in neuroimaging software and data analysis can lead to higher salaries, especially in research or clinical settings.

What are the key skills and qualifications needed to thrive as a Neuroimaging Analyst, and why are they important?

To thrive as a Neuroimaging Analyst, you need a strong background in neuroscience, neuroanatomy, and data analysis, often supported by a degree in neuroscience, biomedical engineering, or related fields. Proficiency with neuroimaging software (such as SPM, FSL, or AFNI), MRI or PET systems, and programming languages like Python or MATLAB is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with researchers and clinicians. These skills are critical for producing accurate neuroimaging results that advance research and support clinical decision-making.

What does a neuroimaging analyst do?

A neuroimaging analyst processes and interprets brain imaging data, such as MRI or fMRI scans, to study brain structure and function. They use specialized software and statistical methods to analyze imaging results, often working closely with neuroscientists and clinicians to support research or clinical diagnosis.

What is a Neuroimaging Analyst?

A Neuroimaging Analyst is a professional who specializes in processing, analyzing, and interpreting brain imaging data, such as MRI, fMRI, or PET scans. They work closely with neuroscientists, radiologists, and clinicians to extract meaningful information from complex neuroimaging datasets. Their responsibilities often include image preprocessing, statistical analysis, and data visualization to support research or clinical decision-making. Neuroimaging Analysts typically have expertise in neuroscience, computer science, and specialized imaging software. Their work plays a crucial role in advancing our understanding of brain structure and function.

How does a Neuroimaging Analyst typically collaborate with clinicians and researchers during a study?

Neuroimaging Analysts work closely with both clinicians and research scientists to ensure that imaging data is accurately processed and interpreted. They often participate in project meetings to discuss study protocols, data quality, and analysis strategies. Analysts may also help translate complex imaging results into actionable insights for clinicians, while supporting researchers in study design and statistical analysis. This collaborative environment fosters continuous learning and provides opportunities to contribute meaningfully to both clinical and research outcomes.
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Neuroimaging Analyst jobs near you
Infographic showing various Neuroimaging Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution.

Research Fellow, Neuroimaging

Massgeneralbrigham

Boston, MA

Full-time

Posted 6 days ago

Job description

Site: Massachusetts Eye and Ear Infirmary


Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.



Job Summary

Postdoctoral Fellow in Neuroimaging at Harvard Medical School The Dystonia and Speech Motor Control Laboratory led by Dr. Kristina Simonyan in the Departments of Otolaryngology-Head & Neck Surgery and Neurology at Mass General Brigham and Harvard Medical School is recruiting a highly motivated postdoctoral fellow to lead multimodal neuroimaging projects, which investigate the neural basis of normal and diseased speech control in healthy individuals and patients with neurological voice disorders, laryngeal dystonia and voice tremor. The common methodologies used will be structural (MRI, DWI) and functional (fMRI, EEG) neuroimaging techniques, genetics, and clinico-behavioral neurotesting. The postdoctoral fellow will function as part of a multi-disciplinary team of neuroscientists and clinicians. Responsibilities include participating in all aspects of data acquisition and management; developing, modifying, and executing analytical protocols; preparing publications and scientific presentations; disseminating results in peer-reviewed scientific journals and at major national and international meetings, and mentoring junior staff. Opportunities exist for excellent scientific interactions and collaborations with an extensive program of seminars, symposia, and other meetings focused on a large array of topics in neuroscience, clinical research, and neurotechnology. See https://simonyanlab.meei.harvard.edu for further details.
Candidate must have a Ph.D. or M.D. PhD or M.D. in Neuroscience, Computer Science, Biomedical Engineering, Mathematics, or related fields of biomedical sciences is strongly preferred. Expertise in human brain imaging, including but not limited to fMRI, EEG, and DWI, is strongly preferred.


Qualifications

Solid experience with scientific computing should include but not be limited to computational (Python, MATLAB) and statistical (AFNI, FSL, SPM) methods. The candidate should be able to work effectively independently and collaborate on projects with multiple investigators. Successful candidates should have strong written and verbal communication skills and excellent academic credentials, including a strong publication record. The positions are available immediately. Salary will be commensurate with experience according to the NIH guidelines. The applications are considered on an ongoing basis until the positions are filled. The Dystonia and Speech Motor Control Laboratory is committed to the academic growth and success of postdoctoral fellows and is looking for highly motivated applicants to join our multidisciplinary team.


Additional Job Details (if applicable)


Remote Type

Onsite


Work Location

243-245 Charles Street


Scheduled Weekly Hours

40


Employee Type

Regular


Work Shift

Day (United States of America)


EEO Statement:

5110 Massachusetts Eye and Ear Infirmary is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.


Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

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