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Neuroscience Engineer Jobs in Texas (NOW HIRING)

Neuralink

Machine Learning Engineer

Austin, TX

About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... No prior knowledge of neuroscience is required; we value simple solutions grounded in first ...

AbbVie

Automation Engineer IV

Waco, TX · On-site

$96K/yr

... and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more ... Provides training for onsite Users / Engineers in Automation technologies and applications.

Neuralink

Software Engineer Intern, Robotics

Austin, TX · On-site

$35/hr

Work across different engineering disciplines; your software may involve interactions with the mechanical, electrical, biological, and neuroscience teams Required Qualifications: * Evidence of ...

Neuralink

Software Engineer Intern, Robotics

Austin, TX · On-site

$35/hr

Work across different engineering disciplines; your software may involve interactions with the mechanical, electrical, biological, and neuroscience teams Required Qualifications: * Evidence of ...

AbbVie

Automation Engineer IV

Waco, TX

... and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more ... Provides training for onsite Users / Engineers in Automation technologies and applications.

AbbVie

Automation Engineer IV

Waco, TX

... and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more ... Provides training for onsite Users / Engineers in Automation technologies and applications.

Medtronic

Systems Engineer II

Fort Worth, TX · On-site

A Day in the Life Across our global Neuroscience organization, we advance care for some of medicine ... Medtronic CST As a Systems Engineer II within the Cranial & Spinal Technologies (CST) organization ...

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Neuroscience Engineer information

See Texas salary details

$34.5K

$81.3K

$127.2K

How much do neuroscience engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for neuroscience engineer in Texas is $81,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,300.00 and $90,800.00 per year, depending on experience, location, and employer.

What is a neuroscience engineer?

A Neuroscience Engineer is a professional who combines principles of neuroscience and engineering to develop technologies that interact with the nervous system. They work on designing devices such as brain-computer interfaces, neural prosthetics, and tools for diagnosing or treating neurological disorders. Neuroscience Engineers collaborate with neuroscientists, physicians, and other engineers to translate scientific discoveries into practical applications that can help understand or treat brain-related conditions. Their work often involves programming, signal processing, and biomedical device development.

What are the key skills and qualifications needed to thrive as a neuroscience engineer?

To thrive as a Neuroscience Engineer, you need a strong background in neuroscience, biomedical engineering, or a related field, often supported by an advanced degree. Familiarity with neuroimaging tools, signal processing software, programming languages (such as Python or MATLAB), and relevant certifications like Certified Neurotechnologist (CNT) are commonly required. Excellent problem-solving, interdisciplinary collaboration, and effective communication are crucial soft skills in this role. These skills and qualifications are important to develop innovative neurotechnological solutions and effectively bridge the gap between engineering and neuroscience research.

What are some common challenges faced by neuroscience engineers when working on interdisciplinary teams?

Neuroscience Engineers often collaborate with neuroscientists, clinicians, and software developers, which means bridging gaps in terminology and aligning different priorities can be challenging. Effective communication is crucial to ensure everyone understands project goals, technical constraints, and research outcomes. Additionally, integrating biological data with engineering models requires adaptability and a willingness to continuously learn from colleagues in other fields. Overcoming these challenges leads to innovative solutions and fosters a dynamic, rewarding work environment.

What is the difference between Neuroscience Engineer vs Biomedical Engineer?

AspectNeuroscience EngineerBiomedical Engineer
Required CredentialsBachelor's or Master's in Neuroscience, Biomedical Engineering, or related fieldsBachelor's or Master's in Biomedical Engineering, Bioengineering, or related fields
Work EnvironmentResearch labs, healthcare tech companies, neuroscience research facilitiesHospitals, medical device companies, research labs
Industry UsageFocus on neural systems, brain-computer interfaces, neurotechnologyMedical devices, prosthetics, imaging systems

Neuroscience Engineers specialize in neural systems and neurotechnology, often working on brain-computer interfaces and neural data analysis. Biomedical Engineers have a broader focus on medical devices and healthcare solutions. While both roles require similar educational backgrounds and work in research or healthcare environments, their specific applications and areas of expertise differ.

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

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

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

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

What cities in Texas are hiring for Neuroscience Engineer jobs?

Cities in Texas with the most Neuroscience Engineer job openings:

Neuroscience Engineer jobs near you

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

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Re-posted 17 hours 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 887 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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