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Ai Neuroimaging Jobs (NOW HIRING)

LVIS

Research Scientist

Palo Alto, CA · On-site

$120K - $140K/yr

... AI driven software tools to help physicians accelerate patient throughput and improve patient ... Experience with signal source localization or neuroimaging data analysis Benefits Salary Range

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Ai Neuroimaging information

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$111.5K

$206K

How much do ai neuroimaging jobs pay per year?

As of Aug 10, 2026, the average yearly pay for ai neuroimaging in the United States is $200,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $205,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What is AI neuroimaging?

AI neuroimaging refers to the use of artificial intelligence techniques, such as machine learning and deep learning, to analyze and interpret neuroimaging data like MRI, CT, or PET scans of the brain. These advanced algorithms can assist in detecting abnormalities, segmenting brain structures, and predicting neurological diseases more accurately and efficiently than traditional methods. AI neuroimaging is increasingly used in both clinical and research settings to improve diagnostics, treatment planning, and our understanding of brain function and disorders.

What are some common challenges faced when integrating AI techniques into neuroimaging workflows?

Professionals in AI neuroimaging often encounter challenges such as managing large, complex datasets, ensuring data quality, and addressing variability in imaging protocols across institutions. Additionally, developing AI models that generalize well to diverse patient populations and comply with healthcare data privacy regulations can be demanding. Collaborating closely with clinicians, radiologists, and data engineers is essential to ensure that AI tools are both accurate and clinically relevant.

What are the key skills and qualifications needed to thrive as an AI neuroimaging specialist, and why are they important?

To excel as an AI Neuroimaging Specialist, you need expertise in neuroimaging techniques, data analysis, and machine learning, usually backed by an advanced degree in neuroscience, computer science, or a related field. Familiarity with tools such as Python, MATLAB, neuroimaging software (e.g., FSL, SPM), and experience with deep learning frameworks like TensorFlow or PyTorch are typically required. Strong problem-solving, interdisciplinary collaboration, and effective communication skills help you work efficiently with both technical and clinical teams. These skills are crucial for developing innovative AI solutions that enhance the accuracy and efficiency of brain imaging analysis and research.

What is the difference between Ai Neuroimaging vs Data Scientist in Healthcare?

AspectAi NeuroimagingData Scientist in Healthcare
Required CredentialsAdvanced degrees in neuroscience, computer science, or related fields; experience with AI and neuroimaging toolsDegree in data science, statistics, or related fields; proficiency in programming and data analysis
Work EnvironmentResearch labs, hospitals, neuroimaging centersHospitals, healthcare companies, research institutions
Industry UsageSpecialized in brain imaging analysis using AI techniquesAnalyzing healthcare data across various domains, including neuroimaging

Ai Neuroimaging focuses on applying AI to analyze brain imaging data, requiring specialized knowledge in neuroscience and neuroimaging tools. In contrast, Data Scientists in Healthcare work broadly with healthcare data, including but not limited to neuroimaging, emphasizing data analysis and machine learning skills across various medical datasets.

More about Ai Neuroimaging jobs
What cities are hiring for Ai Neuroimaging jobs? Cities with the most Ai Neuroimaging job openings:
What states have the most Ai Neuroimaging jobs? States with the most job openings for Ai Neuroimaging jobs include:
What job categories do people searching Ai Neuroimaging jobs look for? The top searched job categories for Ai Neuroimaging jobs are:
Ai Neuroimaging jobs near you
Infographic showing various Ai Neuroimaging job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $200,510 per year, or $96.4 per hour.

Research Engineer

USC Gould School of Law

Los Angeles, CA

$92K - $95K/yr

Full-time

Re-posted 28 days ago

Job description

The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Center for Integrative Connectomics (CIC, http://cic.ini.usc.edu ) are world

leaders in the development of advanced computational and scientific

approaches for the comprehensive mapping of brain structure and function. The CIC's unique multidisciplinary environment and cutting-edge resources allow for integration of spatial transcriptomics and connectomics datasets for research questions focused on neuronal cell type vulnerability in neurobiological disease.

The CIC is recruiting a talented full-time Research Engineer to help with various
projects on the computational analysis of high resolution 3D microscopy
datasets. Under the supervision of the PI, the candidate will assist with data processing, analyzing the data, applying machine learning/AI for image pipeline development, data visualization for interpretability of the models, and submit abstracts and papers to conferences and journal publications.

Designs, develops, and tests materials and prototypes for research projects.
Investigates the feasibility of applying specific scientific principles and

concepts to potential inventions and projects. Analyzes and presents data as appropriate and makes decisions to further the goals of the experiment. The candidate is expected to provide thorough documentation of methods publicly on GitHub and be comfortable training coworkers in the methodologies.

Required Qualifications:
Master's Degree in Biomedical Engineering/Computer Science/Neuroimaging
Strong understanding of machine learning, deep learning for biomedical

imaging, computer vision, AI and integration of neuronal morphology methods, statistics and image analysis.
Experience working with large-scale neuroimaging and genetics data.
Proficiency in oral and written communication as determined by contributions to scientific conferences and related presentations.
Experience in designing, developing and maintaining pipelines/tools using
machine learning and deep learning for neuroimaging applications.
Knowledge about data visualization and various data analytics tools and libraries.

The annual base salary range for this position is $92,211.99 - $95,000. When

extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
Minimum Education: Master's degree in Computer Science, Engineering or in

related field(s) Minimum Experience: 3 years Minimum Skills: Experience in a laboratory setting conducting scientific research. Excellent written and oral communication skills. Ability to communicate technical information to

non-technical audiences.

Preferred Education: Doctorate Preferred Experience: 5 years Preferred Skills: Proven experience achieving results in a scientific research environment. Deep knowledge base in specific field.

Minimum Education: Master's degree In Engineering Or in related field(s)
Minimum Experience: 3 years
Minimum Skills: Experience in a laboratory setting conducting scientific research. Excellent written and oral communication skills. Ability to communicate technical information to non-technical audiences.
Preferred Education: Doctorate
Preferred Experience: 5 years
Preferred Skills: Proven experience achieving results in a scientific research environment. Deep knowledge base in specific field.

USC 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, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to theBackground Screening Policy Appendix Dfor specific employment screen implications for the position for which you are applying.

We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email atuschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.

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