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Neuroscience Engineering Jobs in Texas (NOW HIRING)

We are seeking a Research Scientist II with strong molecular biology, cellular neuroscience, tissue engineering, or related life sciences expertise and an AI-first mindset to support translational ...

We are seeking a Research Scientist II with strong molecular biology, cellular neuroscience, tissue engineering, or related life sciences expertise and an AI-first mindset to support translational ...

We are seeking a Research Scientist II with strong molecular biology, cellular neuroscience, tissue engineering, or related life sciences expertise and an AI-first mindset to support translational ...

Hybrid · USD 135,000-150,000 / year Addison, Texas, United States ABOUT PRECISION NEUROSCIENCE ... Ph.D. in Materials Science, Electrical Engineering, Chemical Engineering, Physics, or a related ...

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Neuroscience Engineering information

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$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.

$100K/yr

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

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Job description

The O'Donnell Brain Institute at UT Southwestern Medical Center invites applications for theEarly Impact Faculty Scholar (EIFS) PrograminComputational and Theoretical Neuroscience. This program is designed to recruit exceptional early-career scientists who are pursuing innovative research in theoretical neuroscience, computational neuroscience, AI-related neuroscience, and related disciplines.

The EIFS appointment is a faculty-level Instructor position that provides outstanding early-career researchers with the opportunity to establish an independent research program while receiving mentorship, institutional support, and the ability to compete for independent research funding.

Faculty Scholars are appointed for athree-year term(with a two-year appointment possible in exceptional cases) and are supported by an Advisory Committee of internal and external experts who provide career guidance, scientific mentorship, and formal evaluation for potential transition to a tenure-track faculty position.

Responsibilities

  • Develop and lead an innovative, independent research program in computational and/or theoretical neuroscience.
  • Pursue externally funded research.
  • Collaborate with investigators across the O'Donnell Brain Institute and UT Southwestern.
  • Participate in scientific presentations, seminars, and institute activities.
  • Meet regularly with an Advisory Committee that provides mentorship and career development guidance.
  • Present research progress and future plans during the formal review process for potential transition to a tenure-track faculty appointment.

Required Qualifications

  • PhD in neuroscience, computational neuroscience, computer science, engineering, physics, mathematics, statistics, or a related quantitative discipline, or a PhD thesis approved for defense by the time of appointment.
  • Candidates must be at the earliest stages of their independent research career, from completion of the PhD through approximately 2-3 years post-PhD.
  • Demonstrated research excellence and strong potential for developing an independent research program in computational and/or theoretical neuroscience.
  • Evidence of scholarly productivity through publications in peer-reviewed journals and presentations at scientific conferences.
  • Expertise in one or more of the following areas: computational neuroscience, theoretical neuroscience, artificial intelligence, machine learning, mathematical modeling, data science, or related fields.
  • Excellent written and verbal communication skills and the ability to collaborate effectively within an interdisciplinary research environment.

Preferred Qualifications

  • Research that complements and enhances the scientific mission of the O'Donnell Brain Institute.
  • Demonstrated ability to develop innovative, high-impact research questions.
  • Experience working across disciplines, including neuroscience, computation, AI, engineering, or quantitative biology.
  • Potential to secure independent extramural research funding.


Appointment and Support

The Early Impact Faculty Scholar appointment includes:

  • Three-year Instructor faculty appointment (two-year appointment possible in exceptional circumstances)
  • 100% institutional salary support during the appointment
  • $100,000 annually for research staff and related research expenses
  • Institutional support for computational resources based on research needs
  • Eligibility to apply for independent research funding


Faculty are formally evaluated during the appointment for potential transition to a tenure-track Assistant Professor position.
Application Instructions

  • Cover letter describing research interests and qualifications for the position.
  • Curriculum vitae (CV).
  • Research statement (3-5 pages) outlining past accomplishments, current research, and future research plans.
  • Contact information for three professional references (letters of recommendation may be requested at a later stage).


Applications should be submitted electronically through the UT Southwestern Careers website. Review of applications will begin immediately and continue until the position is filled.

UTSouthwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. Asan equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis ofrace, color, religion, national origin, sex,sexual orientation, gender identity, gender expression,age, disability, genetic information, citizenship status, or veteran status.

This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.

Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.

To learn more about the benefits UT Southwestern offers, visithttps://www.utsouthwestern.edu/employees/hr-resources/

Benefits
    UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
    • PPO medical plan, available day one at no cost for full-time employee-only coverage
    • 100% coverage for preventive healthcare - no copay
    • Paid Time Off, available day one
    • Retirement Programs through the Teacher Retirement System of Texas (TRS)
    • Paid Parental Leave Benefit
    • Wellness programs
    • Tuition Reimbursement
    • Public Service Loan Forgiveness (PSLF) Qualified Employer
    • Learn more about these and other UTSW employee benefits!

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