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Neuroscience Engineering Jobs in Virginia (NOW HIRING)

Virginia Tech

Lab Technician (Ni Lab)

Blacksburg, VA

$16.75 - $22.25/hr

... neuroscience and familiarity with standard laboratory equipment Basic programming or data analysis skills (Python, R, MATLAB) Pay Band 3 Overtime Status Non-Exempt: Eligible for overtime Appointment ...

Virginia Tech

Scientific Programmer

Blacksburg, VA · On-site

Information Systems / Technology, Research / Scientific The Center for Human Neuroscience Research ... Master's degree in a quantitative discipline (mathematics, computer science, engineering, physics ...

Inova

Movement Disorders Neurologist (MD/DO)

Fairfax, VA · On-site

$285K - $450K/yr

Inova Neurosciences via the Inova Parkinson's & Movement Disorders Center is a national leader in ... programming. * Collaborate with neurosurgeons, rehabilitation specialists, therapists, and primary ...

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 ...

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All JobsNeuroscience Engineering JobsNeuroscience Engineering Jobs in Virginia

Neuroscience Engineering information

See Virginia salary details

$34.7K

$92.2K

$171.5K

How much do neuroscience engineering jobs pay per year?

As of Aug 2, 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 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 does a neuroscience engineer do?

A neuroscience engineer designs and develops technologies to study and treat the nervous system, often working with neural interfaces, brain-computer interfaces, or neuroprosthetics. They use skills in engineering, biology, and computer science, and may work in research labs, healthcare, or industry settings to improve understanding and treatment of neurological conditions.

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, 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 engineers make $500,000?

Senior neuroscience engineers or biomedical engineers working in specialized fields such as neurotechnology, brain-computer interfaces, or medical device development can reach salaries around $500,000, especially with extensive experience, advanced degrees, and leadership roles. High compensation often involves working in innovative environments, with skills in software, hardware, and data analysis, and may include stock options or bonuses.

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. Graduates with a neuroscience degree can pursue engineering careers by gaining additional skills in areas like electrical engineering, biomedical engineering, or computer science through coursework, certifications, or hands-on experience. Having a strong foundation in research methods and technical skills can facilitate entry into engineering positions related to neural devices, brain-computer interfaces, or neurotechnology development.

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 engineers make $300,000 a year?

In neuroscience engineering, professionals such as senior biomedical or neuroengineering directors, research leads, or those with extensive experience and advanced degrees can earn $300,000 or more annually. High salaries often require specialized skills, leadership roles, and working in well-funded research institutions or biotech companies.
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 July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $92,159 per year, or $44.3 per hour.

Postdoctoral Scientist - Schulze Lab

Howard Hughes Medical Institute (HHMI)

Ashburn, VA • On-site

Full-time

Medical, Retirement

Posted 5 days ago

Job description

Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147
Current HHMI Employees, click here to apply via your Workday account.
About the role:
We are seeking a Postdoctoral Scientist with hybrid expertise spanning systems neuroscience, computer-vision, pose-tracking, behavioral ML, and VR technology to join the Schulze Lab. In this role, you will integrate custom hardware and software with computational analysis pipelines to probe the neural circuits underlying collective behavior and social cognition. To design and apply your own virtual reality paradigms, you will be working closely with our lab's VR specialist and collaborate across the team to investigate the rich, naturalistic behavior we study in Danionella. Further, you will use multi-animal tracking and behavioral classification to study latent structures and create brain-behavior maps.
This is an excellent opportunity for a scientifically driven researcher who is comfortable tinkering and who is motivated to advance the understanding of how individuality, sex differences, and stress shape the brain and decision-making in groups.
About the lab:
The Schulze Lab addresses a central question: how do neural circuits compute the experience-dependent actions animals deploy in complex, social worlds? The lab studies how individual traits, internal state, and context interact to shape both personal behavioral trajectories and group-level outcomes. We put a particular focus on the neural basis of inter-individual differences, sexually dimorphic and stress-related features expressed in social contexts such as schooling behavior. We use data-driven approaches for realistic closed-loop controlled VR-experiments, combined with two-photon calcium imaging and molecular phenotyping at single-cell resolution to investigate brain-wide circuits in the adult vertebrate brain. Further, we use LICONN for ultrastructural analyses. More information about the Schulze lab can be found here: the Schulze Lab page.
In addition, the HHMI Janelia Research Campus provides a highly collaborative, resource-rich environment for our work.
What we provide:
  • A competitive compensation package, with comprehensive health and welfare benefits.
  • Access to Janelia's facilities and engineering support for imaging, custom-hardware, scientific computing, Unity-based visual environments, in-situ hybridization, and dissection.
  • A highly collaborative, interdisciplinary research campus with close ties to labs working across systems neuroscience, computation, modeling, and tool development.
  • One-on-one mentorship.
  • Support to attend and present at scientific conferences.
  • Amenities that enhance work-life balance such as on-site childcare, free gyms, available on-campus housing, social and dining spaces, and convenient shuttle bus service to Janelia from the Washington D.C. metro area.

What you'll do:
  • Design VR systems and paradigms to present naturalistic, socially rich stimuli.
  • Write software to integrate ML-based/agentic approaches for multi-animal studies.
  • Develop and execute experiments investigating the neural circuits underlying inter-individual differences, sexually dimorphic and stress-related traits in social behavior.
  • Analyze the multivariate whole-brain activity, behavioral, and stimulus data using computational approaches. Interpret results in the context of project goals.
  • Prepare technical reports, protocols, and quantitative analyses, and maintain familiarity with current literature in systems neuroscience and VR-based behavioral neuroscience.
  • Collaborate with the lab's VR specialist and other members of the Janelia community.

What you bring:
  • A Ph.D. in neuroscience, computer science, engineering, or a closely related field.
  • A hybrid background bridging software-hardware integration and computational as well as ML skills with a solid grounding in systems neuroscience.
  • Demonstrated experience building or working with complex rigs, such as VR systems for behavioral neuroscience research.
  • Working knowledge of scientific principles and the ability to exercise independent judgment in developing methods, techniques, and evaluation criteria.
  • Ability to perform highly complex experiments with high levels of reliability and accuracy within time constraints.
  • Genuine interest in the neural basis of inter-individual differences, including sexually dimorphic and stress-related features in social contexts such as schooling behavior.
  • Strong written and verbal communication skills, including the ability to prepare technical reports and contribute to publications.

Physical Requirements
Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet).
Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis.
Please Note:
This job description sets forth the job's principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word "may," the Essential Duties and Responsibilities described above are "essential functions" of the job, as defined by the Americans with Disabilities Act.
Compensation:
A Postdoc 00 (0 to 1 year research experience after obtaining a PhD) is compensated at a rate of $74,200.00 annually at HHMI's Janelia Research Campus.
Pay Type:
Annual
HHMI's salary structure is developed based on relevant job market data. HHMI considers a candidate's education, previous experiences, knowledge, skills and abilities, as well as internal consistency when making job offers.
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Compensation and Benefits
Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs. Visit our Benefits at HHMI site to learn more.
HHMI is an Equal Opportunity Employer
We use E-Verify to confirm the identity and employment eligibility of all new hires.

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