ZipRecruiter

Log In

1

Neural Engineering Jobs in Washington (NOW HIRING)

Omm IT Solutions

GenAI Engineer

Ellicott City, MD · On-site

Machine Learning, Deep Learning, Neural Networks, Python, Natural Language Processing, Prompt Engineering, and Data Management and Preprocessing. \n \n \n \n \n \n Position Description: \n \n \n

Catalyst Labs, LLC

Applied AI Engineer

Washington, DC · On-site

$158K/yr

... neural intelligence to redefine how knowledge lives digitally. What You'll Do Knowledge Graph ... Bridge ML systems and product engineering shipping AI-powered features that shape user experience ...

Umd

Graphics Software Engineer

College Park, MD

$138K - $171K/yr

... neural rendering, generative medical visualization, real-time inference, and data-driven ... Infrastructure and platform engineering: Design, scale, and harden the institute's advanced XR ...

next page

Showing results 1-20

All JobsNeural Engineering JobsNeural Engineering Jobs in Washington

Neural Engineering information

See Washington salary details

$12

$21

$33

How much do neural engineering jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for neural engineering in Washington is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $23.70 per hour, depending on experience, location, and employer.

How much are neural engineers paid?

Neural engineers typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals with advanced skills in neurotechnology and programming can earn higher salaries, especially in research or industry settings.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

What engineers make $500,000?

Senior neural engineers, especially those with extensive experience, advanced degrees, and expertise in machine learning, neurotechnology, or biomedical applications, can earn salaries approaching or exceeding $500,000 annually. These roles often require specialized skills, leadership responsibilities, and work in high-demand industries such as healthcare, research, or tech companies. Compensation varies based on location, company size, and individual credentials.

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

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

What can you do with a neural engineering degree?

A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.

What is the salary of a neuroengineer?

The salary of a neuroengineer typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and the specific employer. Entry-level positions may start lower, while experienced professionals with advanced skills in neural interfaces and computational modeling can earn higher salaries.

What Are Jobs in Neural Engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.
More about Neural Engineering jobs
What are the most commonly searched types of Neural Engineering jobs in Washington? The most popular types of Neural Engineering jobs in Washington are:
What are popular job titles related to Neural Engineering jobs in Washington? For Neural Engineering jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Neural Engineering jobs in Washington look for? The top searched job categories for Neural Engineering jobs in Washington are:
What cities in Washington are hiring for Neural Engineering jobs? Cities in Washington with the most Neural Engineering job openings:
Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Washington as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% Physical, 2% Hybrid, and 31% Remote job distribution, with an average salary of $45,501 per year, or $21.9 per hour.
Multiplex & IF Staining Neurology Scientist

Multiplex & IF Staining Neurology Scientist

Medasource

Gaithersburg, MD

Other

Posted 4 days ago

Job description

Job Title: Multiplex & IF Staining Neurology Scientist

Location: Gaithersburg, MD

Duration: 3-4 Month Contract with potential of exp


Key Responsibilities

Multiplex Immunofluorescence & High‑Plex Imaging (Core Focus)

  • Perform multiplex IF staining on FFPE tissue sections, including complex, high‑parameter antibody panels specific to neurological targets and pathways.
  • Operate Cell DIVE™ or comparable high‑plex imaging platforms, including image acquisition, optimization, and troubleshooting.
  • Execute image pre‑processing, segmentation, quality control, and multiplex imaging analysis workflows.
  • Evaluate staining quality, signal specificity, background, and reproducibility across neuro tissue samples.
  • Perform routine maintenance, calibration, and performance checks on imaging instrumentation.

Neurology‑Focused Histology & Tissue Processing

  • Prepare and process FFPE neural tissue samples, including embedding, sectioning, and slide preparation.
  • Conduct automated and manual IHC staining (Ventana, Leica, Dako, etc.), with a focus on neuroscience biomarkers.
  • Optimize staining protocols for difficult neural tissues and complex multiplex panels.
  • Ensure accurate documentation, sample tracking, and traceability throughout lab workflows.

Multiplex Image Analysis & Data Interpretation

  • Perform quantitative multiplex imaging analysis for spatial biology datasets derived from neurological tissues.
  • Review and QC imaging outputs to ensure scientific rigor and reproducibility.
  • Support interpretation of spatial patterns, co‑localization, and biomarker expression relevant to neuro biology.
  • Facilitate structured data handoff to pathology, translational science, and bioinformatics teams.

Scientific Collaboration & Engagement

  • Participate in cross‑functional meetings with translational, pathology, biomarker, and neuroscience stakeholders.
  • Contribute scientific input to study design, assay optimization, and troubleshooting activities.
  • Balance hands‑on wet‑lab work with scientific discussions and planning meetings, ensuring alignment with program objectives.
  • Maintain high‑quality documentation in accordance with the clients lab standards and regulatory expectations.


Required Qualifications

Scientist (BS / MS Level)

  • BS or MS in Biology, Neuroscience, Molecular Biology, Pathology, Biomedical Sciences, or related field.
  • Hands‑on experience with IHC and multiplex IF staining, preferably using automated platforms.
  • Demonstrated experience handling FFPE tissues, ideally neural or CNS‑derived samples.
  • Familiarity with microscopy, image acquisition, and basic image analysis principles.
  • Strong attention to detail and ability to execute standardized laboratory workflows.

Senior Scientist (PhD Level)

  • PhD in Neuroscience, Immunology, Pathology, Molecular Biology, Biomedical Engineering, or related discipline.
  • Extensive experience with multiplex IF staining, high‑plex panel development, and optimization.
  • Proven expertise with high‑plex imaging technologies (Cell DIVE™, PhenoCycler, MIBI, CosMx, etc.).
  • Strong background in multiplex imaging analysis and spatial biology, preferably applied to neurology programs.


Preferred Skills

  • Experience with multiplex image analysis software (HALO, QuPath, CellProfiler, or similar).
  • Familiarity with neurological disease biology, CNS biomarkers, or translational neuroscience research.
  • Ability to troubleshoot staining challenges, imaging artifacts, or analytical inconsistencies in neural tissues.
  • Experience working in GLP‑like or highly structured laboratory environments.


Soft Skills & Attributes

  • Strong communication skills with the ability to engage in both technical lab work and scientific discussions.
  • Comfortable managing time between wet‑lab execution and collaborative meetings.
  • Self‑directed, organized, and able to prioritize deliverables in a fast‑paced research setting.
  • High scientific rigor with excellent documentation practices.


Apply