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Data Science Neuroscience Jobs in Texas (NOW HIRING)

AI, Data Science & Multimodal Research * Apply an AI-first approach to experimental design, data ... Cellular neuroscience techniques * In-vitro assay development * Electrophysiology or neural ...

AI, Data Science & Multimodal Research * Apply an AI-first approach to experimental design, data ... Cellular neuroscience techniques * In-vitro assay development * Electrophysiology or neural ...

AI, Data Science & Multimodal Research * Apply an AI-first approach to experimental design, data ... Cellular neuroscience techniques * In-vitro assay development * Electrophysiology or neural ...

Neuroscience Tutor

Plano, TX · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Neuroscience Tutor

Mckinney, TX · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Neuroscience Tutor

Bryan, TX · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Neuroscience Tutor

Brownsville, TX · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Neuroscience Tutor

Allen, TX · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Neuroscience Tutor

Houston, TX · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Neuroscience Tutor

Arlington, TX · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Neuroscience Tutor

Amarillo, TX · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Neuroscience Tutor

Lubbock, TX · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Neuroscience Tutor

Round Rock, TX · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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Showing results 1-20

Data Science Neuroscience information

See Texas salary details

$21.1K

$98.4K

$180.7K

How much do data science neuroscience jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science neuroscience in Texas is $98,407.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,886.00 and $137,191.00 per year, depending on experience, location, and employer.

What is data science in neuroscience?

Data Science in Neuroscience involves applying computational, statistical, and analytical methods to study the brain and nervous system. Data scientists in this field analyze large-scale datasets, such as brain imaging, genomic, or behavioral data, to uncover patterns and insights about neural function and disorders. They use machine learning, data visualization, and other quantitative tools to advance understanding of the brain, support research, and aid in clinical decision-making. This interdisciplinary role requires knowledge of neuroscience, computer science, and statistics.

How do data scientists in neuroscience typically collaborate with research teams and clinicians?

Data scientists in neuroscience often work closely with multidisciplinary teams that include neuroscientists, clinicians, and other data specialists. They are responsible for designing and implementing analytical pipelines, interpreting complex brain data, and translating findings into actionable insights for both research and clinical applications. Effective communication skills are crucial, as they must explain technical results to non-technical team members and adapt analyses based on evolving research questions. This collaborative environment offers opportunities to contribute to cutting-edge discoveries and impacts both academic and medical advancements.

What are the key skills and qualifications needed to thrive as a data science neuroscience professional, and why are they important?

To excel as a Data Science Neuroscience professional, you need a strong background in neuroscience, statistics, and programming, often supported by an advanced degree in neuroscience, data science, or a related field. Familiarity with data analysis tools such as Python, R, MATLAB, machine learning frameworks, and neuroimaging software like SPM or FSL is typically required. Critical thinking, problem-solving, and the ability to communicate complex findings clearly make individuals stand out in this interdisciplinary role. These skills are vital for effectively analyzing large-scale neural data, generating insights, and facilitating collaboration between data scientists and neuroscientists.

Can I become a data science neuroscientist with a neuroscience degree?

A neuroscience degree provides a strong foundation for a data science neuroscience role, but additional skills in programming, statistics, and data analysis are typically required. Gaining experience with tools like Python, R, and machine learning, along with relevant certifications, can enhance your qualifications for this interdisciplinary field.

What are the most commonly searched types of Data Science Neuroscience jobs in Texas?

The most popular types of Data Science Neuroscience jobs in Texas are:

What are popular job titles related to Data Science Neuroscience jobs in Texas?

For Data Science Neuroscience jobs in Texas, the most frequently searched job titles are:

Infographic showing various Data Science Neuroscience job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $98,407 per year, or $47.3 per hour.

Research Scientist I, Moody Brain Health Institute

UTMB Health

Galveston, TX • On-site, Remote

Full-time

Re-posted 10 days ago


UTMB Health rating

7.3

Company rating: 7.3 out of 10

Based on 168 frontline employees who took The Breakroom Quiz

270th of 891 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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