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Neuroimaging Scientist information

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$50.5K

$130.1K

$174K

How much do neuroimaging scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for neuroimaging scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Neuroimaging Scientist vs Neuroimaging Analyst?

AspectNeuroimaging ScientistNeuroimaging Analyst
Required CredentialsAdvanced degrees (PhD or Master’s) in neuroscience, psychology, or related fields; experience with neuroimaging techniquesBachelor’s or Master’s degree; proficiency in neuroimaging data analysis software
Work EnvironmentResearch labs, academic institutions, healthcare facilitiesData analysis teams, research institutions, healthcare settings
Employer & Industry UsageUniversities, research institutes, biotech companiesHospitals, research organizations, pharmaceutical companies

Neuroimaging Scientists typically hold advanced degrees and focus on designing experiments and interpreting complex neuroimaging data, while Neuroimaging Analysts often have a background in data analysis and focus on processing and analyzing neuroimaging datasets. Both roles are essential in neuroscience research and often collaborate within similar environments.

What states have the most Neuroimaging Scientist jobs?

States with the most job openings for Neuroimaging Scientist jobs include:

What are popular job titles related to Neuroimaging Scientist jobs?

For Neuroimaging Scientist jobs, the most frequently searched job titles are:

Infographic showing various Neuroimaging Scientist job openings in the United States as of September 2026, with employment types broken down into 4% Internship, 2% As Needed, 87% Full Time, 4% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist I, Moody Brain Health Institute

Galveston, TX • On-site

UTMB Health
See more jobs at UTMB Healthexternal

Full-time

Re-posted yesterday

UTMB Health rating

7.2

Company rating: 7.2 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

Job description

JOB SUMMARY
The Research Scientist will lead research and development focused on digital twin modeling for brain health and health trajectory prediction within the Moody Brain Health Institute. This role involves designing, implementing, and validating computational models that simulate individual brain and health states across the lifespan. The scientist will integrate multi-modal patient data, including neuroimaging, electrophysiology, genomics, digital biomarkers, and electronic health records (EHRs), to create predictive digital twins capable of informing early diagnosis, personalized interventions, and resilience modeling. The position combines data science, neuroscience, and translational health research to advance precision brain health. They will also contribute to development of grant proposals, and scholarly publications.
ESSENTIAL JOB FUNCTIONS
• Execute the core's research initiatives, advancing key projects and objectives.
• Design and implement predictive models based on patient data to support research and clinical applications.
• Lead the development of virtual patient models to advance personalized medicine and data-driven research.
• Develop comprehensive data extraction strategies for Electronic Health Record (EHR) data, ensuring efficient and accurate analysis.
• Integrate multi-scale data sources such as neuroimaging, omics, cognitive, behavioral, and EHR data to build comprehensive individual-level representations.
• Present research findings and core activities at both internal and external conferences, symposia, and workshops.
• Support grant applications and publications, highlighting innovations in digital twin technologies for brain health.
• Contribute to infrastructure planning, including computing resources, secure data management, and AI model governance.
• Partner with the core director to plan resources and training for the development of AI tools and technologies.
KNOWLEDGE/SKILLS/ABILITIES
• Excellent communication and interpersonal skills with a high degree of professionalism.
• Experience with high-throughput data analysis.
• Proficiency in AI, deep learning, and data fusion techniques for multimodal health data.
• Familiarity with federated or privacy-preserving learning for healthcare applications.
• Excellent communication and collaboration skills, with the ability to convey complex bioinformatics concepts to non-experts.
• Strong analytical skills and a proactive approach to problem resolution.
• Excellent decision-making skills.
EDUCATION & EXPERIENCE
Minimum Qualifications:
• PhD in Bioinformatics, Data Science, Biomedical Informatics, or a related biomedical field.
• Proven experience in Artificial Intelligence and/or statistical modeling,
• Familiarity with EHR data extraction, and analysis.
• Excellent communication skills and ability to collaborate with interdisciplinary teams.
Preferred Qualifications:
• Experience in working with AI and machine learning models, particularly in the biomedical context.
• Experience in digital twin frameworks, personalized modeling, or health trajectory prediction.
• Proven ability to lead collaborative, data-driven projects across disciplines.
• Prior involvement in leading or managing research projects.
SALARY:
Commensurate with experience.
EQUAL EMPLOYMENT OPPORTUNITY:
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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