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Medical University of South Carolina

This position is assigned to the Brain Stimulation Division with Lisa McTeague, Ph.D. for the purpose of assisting, coordinating, planning and implementing research protocols. This includes but is ...

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How much do brain research jobs pay per year?

As of Jul 23, 2026, the average yearly pay for brain research in the United States is $99,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $115,500.00 per year, depending on experience, location, and employer.

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

Professionals in brain research often encounter challenges such as navigating complex experimental designs, securing consistent funding, and staying updated with rapidly evolving technologies. Collaborating with multidisciplinary teams—including neuroscientists, data analysts, and clinicians—can help overcome technical and analytical hurdles. Additionally, actively participating in conferences and workshops supports knowledge exchange, while seeking mentorship and networking can provide guidance on career advancement and grant writing.

How to get into brain research?

To pursue a career in brain research, typically a bachelor's degree in neuroscience, psychology, biology, or a related field is required, followed by a master's or Ph.D. for advanced research roles. Gaining experience through internships, research assistant positions, and developing skills in laboratory techniques and data analysis are important steps. Familiarity with neuroimaging tools and programming languages like MATLAB or Python can also enhance prospects.

What is brain research?

Brain research is the scientific study of the brain and its functions, aiming to understand how the brain works at molecular, cellular, and behavioral levels. Researchers in this field investigate topics such as memory, learning, perception, neurological diseases, and mental health conditions. This research helps develop treatments for brain disorders and enhances our understanding of how the nervous system influences behavior and cognition. Techniques used include brain imaging, electrophysiology, and genetic analysis.

What are careers that study the brain?

Careers that study the brain include neuroscientists, neuropsychologists, and neurologists. These professionals conduct research, diagnose, and treat brain-related conditions, often working in laboratories, hospitals, or academic settings, and typically require advanced degrees and knowledge of neuroanatomy and neurophysiology.

What is the difference between Brain Research vs Neuroscientist?

AspectBrain ResearchNeuroscientist
Required CredentialsTypically a PhD or Master's in neuroscience, psychology, or related fieldsUsually a PhD in neuroscience, biology, or psychology
Work EnvironmentResearch labs, universities, medical centersResearch institutions, universities, healthcare facilities
Industry UsageAcademic research, pharmaceutical companies, government agenciesAcademic, clinical, and industry research roles

Brain Research refers to the broader field of studying the brain's structure and functions, often involving various roles and research projects. Neuroscientist is a specific job title for professionals conducting research or clinical studies on the nervous system. While both require advanced degrees and often work in similar environments, Brain Research encompasses a wide range of research activities, whereas Neuroscientist is a designated role within that field.

What does a brain researcher do?

A brain researcher studies the structure and function of the brain to understand how it influences behavior, cognition, and neurological processes. They often conduct experiments using techniques like neuroimaging, electrophysiology, and data analysis, typically working in laboratories or academic settings. Strong knowledge of neuroscience, research methods, and relevant tools is essential for this role.

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

To thrive in Brain Research, a strong background in neuroscience, biology, or psychology—typically with an advanced degree (PhD or MD)—is essential. Proficiency with laboratory techniques, brain imaging technologies (like MRI or EEG), and statistical analysis software (such as SPSS or MATLAB) is commonly required. Critical thinking, meticulous attention to detail, and effective collaboration skills help researchers excel in this complex field. These competencies are vital to ensure rigorous scientific investigation, accurate data interpretation, and meaningful contributions to understanding the brain.

How much does a brain researcher make?

The average salary for a brain researcher, such as a neuroscientist or cognitive scientist, typically ranges from $50,000 to $100,000 per year, depending on experience, education, and location. Advanced roles with PhDs or in academia and industry can earn higher salaries, often exceeding $100,000 annually.
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Brain Research jobs near you
Infographic showing various Brain Research job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $99,840 per year, or $48 per hour.
Research Scientist I, Moody Brain Health Institute

Research Scientist I, Moody Brain Health Institute

UTMB Health

Galveston, TX • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.

UTMB Health rating

7.3

Company rating: 7.3 out of 10

Based on 168 frontline employees who took The Breakroom Quiz

265th of 889 rated healthcare providers

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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