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Neuroscience Engineering Jobs in Texas (NOW HIRING)

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the ...

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the ...

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the ...

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the ...

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the ...

Clinical Research Associate

Austin, TX · On-site

$89K - $148K/yr

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the ...

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Neuroscience Engineering information

See Texas salary details

$32.6K

$86.6K

$161.2K

How much do neuroscience engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for neuroscience engineering in Texas is $86,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $106,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in neuroscience engineering, and how can they be addressed?

One common challenge in Neuroscience Engineering is navigating the interdisciplinary nature of the field, as it requires collaboration between neuroscientists, engineers, and clinicians. Professionals often need to bridge gaps in communication and coordinate complex research or development projects across different domains. Staying current with advances in both neuroscience and engineering can also be demanding. Building strong cross-functional teams, actively engaging in continuous learning, and fostering open communication channels are effective ways to address these challenges.

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, and computational modeling, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or MATLAB), neuroimaging tools (like fMRI or EEG), and data analysis software is essential. Problem-solving, interdisciplinary collaboration, and effective communication are standout soft skills in this role. These competencies enable the development of innovative neural technologies and foster successful teamwork in complex research or clinical environments.

What does a neuroscience engineering do?

A neuroscience engineer designs and develops technologies to study and interface with the nervous system, such as brain-computer interfaces, neural implants, and imaging tools. They often work with interdisciplinary teams, utilize skills in engineering, biology, and computer science, and may require knowledge of signal processing and neurophysiology.

Can you go into engineering with a neuroscience degree?

Neuroscience engineering roles often require knowledge of both neuroscience and engineering principles, such as signal processing, programming, and device design. With a neuroscience degree, gaining additional skills in engineering, coding, or related certifications can help transition into engineering positions in this field.

What is the difference between Neuroscience Engineering vs Biomedical Engineering?

AspectNeuroscience EngineeringBiomedical Engineering
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, universitiesHospitals, medical device companies, research institutions
Industry UsageFocuses on neural systems, brain-computer interfaces, neurotechnologyDesigns medical devices, prosthetics, imaging systems
Common Search/ComparisonNeuroscience Engineering vs Biomedical Engineering

Neuroscience Engineering and Biomedical Engineering share overlapping skills and work environments, but Neuroscience Engineering specializes in neural systems and neurotechnology, while Biomedical Engineering covers a broader range of medical devices and systems. Both fields are vital in advancing healthcare technology and often collaborate in research and development.

What is neuroscience engineering?

Neuroscience engineering is an interdisciplinary field that combines principles of neuroscience and engineering to study, model, and manipulate the nervous system. Professionals in this field develop technologies such as brain-computer interfaces, neural implants, and devices for diagnosing or treating neurological disorders. They work at the intersection of biology, electronics, computer science, and mathematics to advance our understanding of the brain and develop innovative medical or research solutions. This field is critical for advancements in neuroprosthetics, neuroimaging, and therapies for conditions like epilepsy or paralysis.
What job categories do people searching Neuroscience Engineering jobs in Texas look for? The top searched job categories for Neuroscience Engineering jobs in Texas are:
What cities in Texas are hiring for Neuroscience Engineering jobs? Cities in Texas with the most Neuroscience Engineering job openings:
Infographic showing various Neuroscience Engineering job openings in Texas as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $86,603 per year, or $41.6 per hour.

Assistant/Associate Professor - Program in Memory Longevity, Peter O'Donnell Jr. Brain Institute [Re

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Posted 4 days ago


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

108th of 887 rated healthcare providers


Job description

Description
Faculty Position - Program in Memory Longevity
Peter O'Donnell Jr. Brain Institute | UT Southwestern Medical Center
The Program in Memory Longevity, led by Attila Losonczy, MD, PhD, in the Peter O'Donnell Jr. Brain Institute (OBI) and the Department of Neuroscience at the University of Texas Southwestern Medical Center in Dallas, seeks applications for a tenure-track faculty position at the Assistant or Associate Professor level. This search aims to advance our understanding of memory and its disruption in aging and disease.
AREAS OF RECRUITMENT
We seek exceptional experimentalists using innovative cellular, molecular, or genetic approaches to investigate memory mechanisms in the mammalian brain. Applicants whose research connects synaptic biology to learning and memory, or to aging- or Alzheimer's-related memory dysfunction, are of particular interest.
ABOUT THE PROGRAM
The Program in Memory Longevity is a signature initiative of the O'Donnell Brain Institute focused on understanding and protecting memory across the lifespan. Anchored by a deeply integrative and collaborative approach, the program aims to define the cellular and circuit mechanisms of memory and how they are perturbed in aging and neurodegenerative disease. New faculty will join a growing community of investigators across disciplines, working at the forefront of memory research.
RESOURCES AND ENVIRONMENT
Faculty hired into the Program in Memory Longevity will join OBI as OBI Scholars, fully embedded in the O'Donnell Brain Institute, with access to:
  • Generous start-up packages and laboratory space in the new O'Donnell Biomedical Research Building
  • Advanced imaging and data analysis resources, including two-photon and light-sheet microscopy, STED, spatial transcriptomics (Xenium and Merscope), cryo-EM, and high-performance computing
  • Human neuroscience infrastructure, including academic neurosurgeons providing access to human brain recordings and tissue, magnetoencephalography (MEG), high-density EEG, and focused ultrasound for blood-brain barrier modulation and lesioning
  • Extensive cross-campus collaboration, spanning more than a dozen departments and centers, including Neuroscience, Cell Biology, Neurology, Neurosurgery, Psychiatry, and the Center for Alzheimer's and Neurodegenerative Diseases
  • OBI programs supporting high-risk/high-reward neuroscience (Visionary Neuroscience Program), trainee development (Sprouts Program, Neural Scientist Training Program, Travel Grant Program), and multidisciplinary Research Interest Groups.

UT Southwestern ranks among the top academic medical centers globally and is home to a vibrant, collegial, and collaborative scientific community. The O'Donnell Brain Institute was created to integrate neuroscience discovery and clinical care, with a strong emphasis on supporting foundational and translational research.
Qualifications
Qualification:
Candidates must hold a Ph.D., M.D., or M.D./Ph.D. in neuroscience, engineering, computer science, biology, physics, or a related discipline. A record of research excellence and a compelling vision for future work are essential. Clinical faculty must be eligible for a Texas medical license.
Application Instructions
Application Instructions:
Please submit the follwing documents for consideration:
  1. Curriculum Vitae
  2. Cover Letter briefly describing your research area and interest in the Program in Memory Longevity
  3. Two-page research statement (past accomplishments and future plans)
  4. Three letters of recommendation

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