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Neuroscience Engineer Jobs (NOW HIRING)

Bachelor's or Master's degree in biomedical engineering, electrical engineering, computer engineering, physics, neuroscience engineering, or a related field is required. * Strong hands-on experience ...

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 ...

Process Engineer

Lebanon, OH · On-site

$90K - $115K/yr

This is a great chance to continue your career as a Process Engineer and have a true impact on neuroscience. Essential Functions * Troubleshoot and maintain manufacturing systems, processes, and ...

Staff Software Engineer

Emeryville, CA · On-site

$200K - $500K/yr

We are integrating neuroscience, AI, and bioengineering to understand and digitally model the architecture of the human brain. Position Summary We are looking for an ambitious Staff Software Engineer ...

We are integrating neuroscience, AI, and bioengineering to understand and digitally model the architecture of the human brain. Position Summary We are looking for an ambitious Staff Software Engineer ...

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Neuroscience Engineer information

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$37K

$87.2K

$136.5K

How much do neuroscience engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for neuroscience engineer in the United States is $87,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $97,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Neuroscience Engineer, and why are they important?

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 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 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.

More about Neuroscience Engineer jobs
What cities are hiring for Neuroscience Engineer jobs? Cities with the most Neuroscience Engineer job openings:
What states have the most Neuroscience Engineer jobs? States with the most job openings for Neuroscience Engineer jobs include:
Infographic showing various Neuroscience Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, 1% Contract, and 5% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $87,220 per year, or $41.9 per hour.
Director of Translational Human Neuroscience [Req#: 823927, Position#: 125204]

Director of Translational Human Neuroscience [Req#: 823927, Position#: 125204]

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Posted 5 days ago


UT Southwestern rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

102nd of 865 rated healthcare providers


Job description

Description
The O'Donnell Brain Institute at UT Southwestern, in partnership with the Departments of Neuroscience, Neurology, Psychiatry, Neurosurgery, Rehabilitation, and Biomedical Engineering Sciences, seeks a Director of Translational Human Neuroscience.
The O'Donnell Brain Institute is a cross-disciplinary organization that helps support and coordinate basic and translational research efforts across clinical and basic science departments connected to the brain. Understanding how circuits dysfunction in disease and can be therapeutically modulated is a top priority for the Institute. The Institute is advancing this goal by supporting circuit neuroscience research in human subjects and in animal models. In addition to performing cutting edge human neuroscience research, the Director of Translational Human Neuroscience will help build, lead, and coordinate a multidisciplinary team of investigators focused on using multi-modal approaches to understand human brain function. Areas of interest include uncovering neurophysiological mechanisms of diseases and neuromodulatory strategies and advancing the development of novel interventions. The Director of Translational Human Neuroscience will help to shape and enhance efforts in human neuroscience, including promoting research synergies, incubating junior faculty, coordinating internal funding efforts for trainees and junior faculty, and identifying potential program-based funding mechanisms including an NIH-funded training program in human neuroscience.
The candidate will be at the associate or full professor rank, with a demonstrated track record of extramural funding and impactful discovery in human neuroscience, with a preferred emphasis on neuromodulatory approaches to understand human brain function and disease and the development of novel therapeutics. The individual should have diverse interests across this broad domain, bridging systems and diseases. The individual should have demonstrated leadership, through efforts such as a history of team science, multidisciplinary funding, or other mechanisms.
Qualifications
Candidate will have a achieved a PhD or MD degree with a demonstrated track record of extramural funding and impactful discovery in human neuroscience, with a preferred emphasis on neuromodulatory approaches to understand human brain function and disease and the development of novel therapeutics. The individual should have diverse interests across this broad domain, bridging systems and diseases. The individual should have demonstrated leadership, through efforts such as a history of team science, multidisciplinary funding, or other mechanisms.

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