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Neuroscience Engineering Jobs in Virginia (NOW HIRING)

ECS

Technical SETA Lead - BTO

Arlington, VA · On-site

ECS seeks a Technical Science, Engineering, and Technical Advisory (SETA) candidate to provide ... PhD in Biology, Biochemistry, Bioengineering, Neuroscience, Molecular Biology, Synthetic Biology ...

ECS

Technical SETA - BTO

Arlington, VA · On-site

ECS seeks a Technical Science, Engineering, and Technical Advisory (SETA) candidate to provide ... PhD in Biology, Biochemistry, Bioengineering, Neuroscience, Molecular Biology, Synthetic Biology ...

ECS

Technical SETA Lead - BTO

Arlington, VA · On-site

ECS seeks a Technical Science, Engineering, and Technical Advisory (SETA) candidate to provide ... PhD in Biology, Biochemistry, Bioengineering, Neuroscience, Molecular Biology, Synthetic Biology ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

The project will employ genetically engineered mouse and human glioma models, along with advanced ... D. in Biology, Neuroscience, or a related field. PhD must be awarded no more than four years prior ...

Virginia Tech

OPM-MEG Technician

Blacksburg, VA · On-site

Required Qualifications Experience in Engineering, Physics, Neuroscience, or a related technical field. Demonstrated experience working with complex instrumentation in a research or technical ...

The Tauri Group

Program Analyst, DTRA

Fort Belvoir, VA · On-site

... programming, budgeting, and execution processes. Candidates must have a current SECRET clearance Qualifications Required * Active Secret Clearance * MS in Neuroscience, Physiology, Pharmacology ...

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Neuroscience Engineering information

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$34.7K

$92.2K

$171.5K

How much do neuroscience engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for neuroscience engineering in Virginia is $92,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $113,000.00 per year, depending on experience, location, and employer.

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 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 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 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.

Can you go into engineering with a neuroscience degree?

Neuroscience engineering is an interdisciplinary field that combines neuroscience with engineering principles, and individuals with a neuroscience degree can pursue careers in biomedical engineering, neural engineering, or neurotechnology. Gaining skills in programming, electronics, and data analysis, along with relevant internships or certifications, can enhance employment prospects in engineering roles related to neuroscience.

What does a neuroscience engineering do?

A neuroscience engineer designs and develops technologies to study and interface with the nervous system, such as neural implants, brain-computer interfaces, and neuroprosthetics. They often work with interdisciplinary teams, utilize tools like electrophysiology and imaging, and require knowledge of neuroscience, engineering principles, and programming. Their work supports medical treatments, research, and the development of assistive devices.

What are popular job titles related to Neuroscience Engineering jobs in Virginia?

For Neuroscience Engineering jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Neuroscience Engineering jobs in Virginia look for?

The top searched job categories for Neuroscience Engineering jobs in Virginia are:

Neuroscience Engineering jobs near you
Infographic showing various Neuroscience Engineering job openings in Virginia as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $92,159 per year, or $44.3 per hour.

Technical SETA Lead - BTO

ECS

Arlington, VA • On-site

Full-time

Re-posted 25 days ago

Job description

Everforth ECS is seeking a Technical SETA Lead - BTO to work in our Arlington, VA (hybrid work schedule) office. Please Note: This position is contingent upon contract award.
ECS seeks a Technical Science, Engineering, and Technical Advisory (SETA) candidate to provide onsite support to DARPA's Biological Technologies Office (BTO). BTO is a unique technical office that leverages the power of biology as a technology to develop revolutionary capabilities for the Department of Defense. BTO's mission focuses on ensuring U.S. technological dominance by pioneering breakthroughs in areas such as human performance, out-pacing infectious diseases, synthetic biology, neurotechnology, and the development of resilient biological systems.
The successful candidate will serve as a functional lead for all Technical SETAs under this contract. The candidate will also support a DARPA Program Manager (PM) by participating in or leading all activities in project management, technical and programmatic risk analysis, program-funded test coordination, and coordination with members of the Department of Defense and interagency partners for transition. The candidate will also be responsible for coordinating meetings, assessing performer technical progress, projecting performer outcomes, and ensuring that project management best practices are followed by performers, independent verification and validation (IV&V) entities funded by DARPA, and within DARPA itself. Duties range from developing point papers, slide decks, and other materials that convey the need, status, and importance of a program to researching unique biological and biotechnological problem sets to aid in National Security priorities.
Salary Range: 120,000 - 200,000
General Description of Benefits
  • Ability to obtain and maintain a minimum of a DoD Secret clearance.
  • PhD in Biology, Biochemistry, Bioengineering, Neuroscience, Molecular Biology, Synthetic Biology, or a closely related field.
  • 3+ years of experience in a research or technical advisory capacity.
  • Ability to communicate effectively with excellent oral and written skills.
  • Ability to learn new subjects and gain rapid insights into current and next-generation research topics, preferably with hands-on leadership of research programs at the performer level in multidisciplinary fields (e.g., the intersection of biology and materials science or electronics).

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