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Neuroscience Engineering Jobs in Virginia (NOW HIRING)

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

Research Assistant

Blacksburg, VA ยท On-site

$17 - $23.25/hr

... neuroscience biology, psychology, or a related field Experience working in a professional research setting Experience in programming with MATLAB, Arduino, Python, LabView Experience contributing to ...

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

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

... programming, budgeting, and execution processes. Candidates must have a current SECRET clearance ... Advanced degree (MS/PhD) in Pharmacology, Toxicology, Neuroscience, Physiology, Medicinal Chemistry ...

... programming, budgeting, and execution processes. Candidates must have a current SECRET clearance ... Advanced degree (MS/PhD) in Pharmacology, Toxicology, Neuroscience, Physiology, Medicinal Chemistry ...

Showing results 21-40

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 9, 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 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 are popular job titles related to Neuroscience Engineering jobs in Virginia? For Neuroscience Engineering jobs in Virginia, the most frequently searched job titles are:
Infographic showing various Neuroscience Engineering job openings in Virginia as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% 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.

Data Scientist (SME) - TS/SCI with Polygraph Required

LMI

Mclean, VA โ€ข On-site

Full-time

Re-posted 23 days ago


Job description

Overview

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Position is on the research staff of a government consulting organization and will be based out of Reston, VA. This position provides verified mathematical and scientific techniques programmatically to answer questions prioritized by the Sponsor.

Responsibilities
  • Work with a project-based team comprised of staff and other contractors.
  • Work closely with the Sponsor to review and track data science requirements and provide regular status updates.
  • Consult with customers to determine present and future user needs for Sponsor consideration.
  • Utilize project management systems such as a Content Management System (CMS) (e.g. Wordpress), Confluence and JIRA to define and track requirements.
  • Engage frequently with customers and stakeholders to clearly explain the project status and results in both written and verbal or multimedia briefings.ย 
  • Provide traceability within program documents and the overall computing environment and architecture.
  • Implement data science requirements, to include data engineering and data analytics services as defined by the Sponsor.
  • Use the full software lifecycle to create data science products which include data ingestion, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard.
  • Develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices.
  • Clean, parse and transform data from multiple file types into appropriate database architecture (e.g. SQL, noSQL, graph) which performs at scale.
  • Develop self-guided training curriculum which includes detailed Jupyter Notebooks and documentation about how to use open-source and commercial software and Sponsor-developed data science software.
  • Develop, deploy and provide feature enhancements using Python for data science products and services, to include Python packages, code documentation, notebooks, and microservices.
QualificationsRequired
  • Bachelor's Degree in a quantitative discipline (e.g., related discipline)
  • Minimum 6-8 years experience
  • Demonstrated experience programming with Python.
  • Demonstrated experience with general Linux computing and advanced bash scripting.
  • Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS.
  • Demonstrated experience processing data sources containing structured or unstructured data.
  • Demonstrated experience developing data pipelines with NiFi to bring data into a central environment.
  • Demonstrated experience delivering results to stakeholders through written documentation and oral briefings.
  • Demonstrated experience using code repositories such as Git.
  • Demonstrated experience using Elastic and Kibana technologies.
  • Demonstrated experience working with multiple stakeholders.
  • Demonstrated experience documenting such artifacts as code, Python packages and methodologies.
  • Demonstrated experience using Jupyter Notebooks.
  • Demonstrated experience with machine learning techniques including natural language processing.
  • Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats.
  • Demonstrated experience developing tested, reusable and reproducible work.
  • Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics.
  • Must possess TS/SCI with polygraph.
Desired
  • Demonstrated experience with system configurations, development and design, specifically around enterprise systems.
  • Demonstrated experience communicating both verbally and in writing, when responding to emails, telephone calls and/or in person inquiries from organizational personnel.
  • Certification:
    • ISACA Certified Information Security Manager (CISM)
    • ISACA Certified Information Systems Auditor (CISA)
    • ISC Certified Information Systems Security Professional (CISSP)
    • ISC Certified Cloud Security Professional (CCSP)
    • ISC Certified Authorization Professional (CAP)

#LI-SH1

Target salary range: $104,040 - $183,600. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Job LocationsUS-VA-McLeanEmployment Type: OTHER