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Neuroscience Engineering information

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$33.3K

$88.4K

$164.5K

How much do neuroscience engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for neuroscience engineering in Ohio is $88,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $108,400.00 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 Ohio?

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

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

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

Neuroscience Engineering jobs near you
Infographic showing various Neuroscience Engineering job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $88,373 per year, or $42.5 per hour.

Lead System Engineer, Model Based System Engineering with Security Clearance

AV, Inc.

Dayton, OH • On-site

Other

Re-posted 12 days ago

Job description

The Advanced Research and Development (ARD) Division is searching for a Lead Engineer to drive digital engineering and model-based system engineering for full system development lifecycle. The full system development cycle includes Modeling and simulation, proof-of-concept prototyping, minimum viable products, developmental test and evaluation, and system transition to operations. The ideal candidate has worked in this area for DARPA and Service Labs as well as the US Air Force, US Navy, or the US Army. Key duties include: Support/lead system architecture development and decomposition using MBSE (SysML/Cameo) to define interfaces, functions, and allocation across multiple domains
Support automation of MBSE SysML model creation with ARD and other DISBU divisions,
Support/lead the program in implementing MBSE as part of the broader digital engineering ecosystem
Support management in maintaining cost, schedule, risks, issues, opportunities, and technical baselines for ARD IRADs and contracts, and support identification, tracking and proactive management of metrics for program execution and product performance.
Basic Qualifications (Required Skills & Experience) Masters Degree or PhD in Electrical, Software, Computational Neuroscience Engineering discipline (or equivalent).
5+ years systems engineering experience to include but not limited to system design, functional decomposition, requirements development, analysis, verification, and validation
Experience with MBSE, Cameo/MSOSA, and/or SysML
Preferred Qualifications (Desired Skills/Experience) Experience developing and/or managing program baselines
Demonstrated experience developing system architectures for complex aerospace vehicles or subsystems using MBSE (SysML/MSOSA)
Performing or closely supporting development of architecture, requirements and verification for RF systems (Communications, radar, electromagnetic environmental effects (E3), etc.) or RF test systems/facilities.
Prior leadership in system architecture or lead systems engineering roles; experience communicating architectural tradeoffs to stakeholders and customers
Understanding of various engineering analyses, including affordability, safety, reliability, maintainability, testability, human systems integration, survivability, vulnerability, susceptibility,
System security, regulatory, certification, product assurance and other specialties quality factors into a preferred configuration to ensure mission success
Background systems engineering processes such as RIO and TPM management, technical review planning/execution, etc.
Physical Demands Ability to work in an office and manufacturing environment.
Required to sit and stand for long periods (Frequent).
Required to talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent).
Travel required to domestic US sites – up to 10%.
Environmental Conditions Critical to Performance: Work is in an office environment, climate controlled through central air conditioning/heating.
May have some exposure to outside environment while traveling.
Special Requirements U.S. Citizenship required.
Existing DoD Secret top secret with an ability to SCI and special access
Occasionally may be required to travel within the Continental U.S.
Location Onsite in Dayton, OH Clearance Level TS/SCI

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