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Computer Science Neuroscience Jobs in Texas (NOW HIRING)

Neuralink

Clinical Scientist

Austin, TX · On-site

... merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer ... As a Clinical Scientist I, you will support the development, design, and execution of Neuralink ...

Neuralink

Clinical Scientist

Austin, TX · On-site

  • Medical

  • Dental

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  • Retirement

... merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer ... As a Clinical Scientist I, you will support the development, design, and execution of Neuralink ...

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Computer Science Neuroscience information

What is a computer science neuroscience?

A Computer Science Neuroscience job involves applying computational techniques to understand the brain and develop neurotechnology. Professionals in this field work on brain-computer interfaces, machine learning models for neuroscience, and neural data analysis. They may contribute to fields like artificial intelligence, cognitive computing, medical imaging, and neuroprosthetics. This interdisciplinary role is common in research labs, healthcare, and tech companies focused on AI and neuroscience applications.

What are the key skills and qualifications needed to thrive in computer science neuroscience, and why are they important?

To thrive in a Computer Science Neuroscience role, you need a strong background in both programming (such as Python, MATLAB, or R) and neuroscience concepts, often supported by an advanced degree in a relevant field. Experience with data analysis tools, neuroimaging software (like fMRI or EEG platforms), and machine learning libraries is highly valued. Critical thinking, problem-solving abilities, and strong interdisciplinary communication are important soft skills for success in this space. These competencies enable professionals to bridge the gap between technology and brain science, driving innovation in research and applied settings.

What types of projects or research might I work on in a computer science neuroscience role?

In a Computer Science Neuroscience position, you could be involved in projects such as developing algorithms for analyzing neural data, implementing machine learning models to predict cognitive states, or building software tools for brain imaging analysis. Many roles also involve collaborating closely with neuroscientists, physicians, and engineers to design experiments and interpret complex datasets. The work is often highly interdisciplinary, blending computational innovation with fundamental scientific discovery. Depending on the organization, you may participate in academic research, clinical studies, or the development of neurotechnology products. This makes for a dynamic work environment with opportunities to contribute to cutting-edge advancements in brain science.

What jobs does computer science neuroscience have?

Computer science neuroscience graduates can pursue careers such as computational neuroscientists, data analysts, machine learning engineers, and research scientists. These roles often involve programming, data analysis, and understanding neural systems, typically requiring skills in programming languages like Python and knowledge of neuroscience concepts.

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

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

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

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

What job categories do people searching Computer Science Neuroscience jobs in Texas look for?

The top searched job categories for Computer Science Neuroscience jobs in Texas are:

Computer Science Neuroscience jobs near you
Infographic showing various Computer Science Neuroscience job openings in Texas as of August 2026, with employment types broken down into 5% As Needed, 79% Full Time, and 16% Part Time. Highlights an 95% In-person, and 5% Remote job distribution.

POSTDOCTORAL RESEARCHER - MEG - Davenport Lab [Req#: 953379, Position#: 125497]

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Re-posted 3 days ago

UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

107th of 888 rated healthcare providers

Job description

Description
Our MEG Team within the Department of Radiology is looking for a postdoctoral researcher to lead and support research activities focused on mapping cerebellar-thalamic-cortical networks in patients with cerebellar disorders using advanced multimodal neuroimaging techniques. The position will involve acquisition, processing, and analysis of data from OPM-MEG and conventional clinical SQUID MEG, as well as collaboration with teams analyzing functional MRI and stereoelectroencephalography (SEEG) data.
Responsibilities include OPM-MEG system hardware and workflow development, collaborating with study coordinators to support research participant scanning, developing and implementing signal processing and source localization methods, preparing manuscripts and conference presentations, assisting with grant-related activities, mentoring trainees, and contributing to collaborative translational neuroscience research.
Qualifications
Required:
- PhD, MD/PhD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Electrical Engineering, Computer Science, Physics, Applied Mathematics, or a related field.
- Experience with neuroimaging, electrophysiology, signal processing, computational neuroscience, or related quantitative research methodologies.
- Demonstrated programming and data analysis experience using scientific computing tools such as MATLAB, Python, or similar platforms.
- Strong written and verbal communication skills.
Preferred:
- Experience with MEG, EEG, source localization, functional MRI, stereoelectroencephalography (SEEG), or related neuroimaging modalities.
- Experience analyzing neural time-series data and applying advanced statistical methods.
- Experience working in multidisciplinary research environments and contributing to collaborative research projects.
Application Instructions
Interested individuals must upload a CV and a list of three (3) references.

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