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Neuroscience Research Engineer Jobs in Washington

... Engineering, Cognitive Science, Biopsychology, or a closely related scientific discipline. * A minimum of FIVE (5) years' experience of scientific expertise in neuroscience research and program ...

... Engineering, Cognitive Science, Biopsychology, or a closely related scientific discipline. * A minimum of FIVE (5) years' experience of scientific expertise in neuroscience research and program ...

Scientific Program Analyst

Rockville, MD · On-site

$65K - $108K/yr

... Engineering, or a related scientific discipline. * Minimum of TWO (2) years' experience supporting ... neuroscience research areas. * Strong data collection, data analysis, and reporting skills.

Scientific Program Analyst

Rockville, MD · On-site

$65K - $108K/yr

... Engineering, or a related scientific discipline. * Minimum of TWO (2) years' experience supporting ... neuroscience research areas. * Strong data collection, data analysis, and reporting skills.

Scientific Program Analyst

Rockville, MD · On-site

$65K - $108K/yr

... Neuroscience, Biomedical Engineering, Cognitive Science, Biopsychology, or a related scientific discipline. * A minimum of ONE (1) year of experience supporting scientific programs, research ...

Scientific Program Analyst

Rockville, MD · On-site

$65K - $108K/yr

... Neuroscience, Biomedical Engineering, Cognitive Science, Biopsychology, or a related scientific discipline. * A minimum of ONE (1) year of experience supporting scientific programs, research ...

... Neuroscience, Synthetic Biology, or Materials Science with a bioelectronics focus are all relevant ... • 8+ years of hands-on research and development experience across living-systems and ...

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Neuroscience Research Engineer information

What does a neuroscience research engineer do?

A Neuroscience Research Engineer applies engineering principles and technical skills to support neuroscience research. They design, develop, and maintain hardware and software tools used in experiments that investigate the brain and nervous system. Their work may involve data acquisition, signal processing, computational modeling, and creating custom devices or algorithms to analyze neural data. These engineers often collaborate closely with neuroscientists to advance research in areas such as brain-computer interfaces, neural imaging, and electrophysiology.

What are the key skills and qualifications needed to thrive as a neuroscience research engineer?

To thrive as a Neuroscience Research Engineer, you need a strong background in neuroscience, engineering, and data analysis, usually supported by an advanced degree in a relevant field. Familiarity with neuroimaging tools (such as fMRI or EEG), programming languages (like Python or MATLAB), and data processing software is essential, and certifications in research ethics or neurotechnology are advantageous. Outstanding problem-solving abilities, attention to detail, and effective collaboration and communication skills are crucial soft skills. These skills and qualifications enable accurate experimental design, reliable data interpretation, and productive teamwork in advancing neuroscience research.

What are some common challenges faced by neuroscience research engineers when integrating new technologies into ongoing research projects?

Neuroscience Research Engineers often encounter challenges when introducing cutting-edge tools or methodologies into established research workflows. Compatibility issues with existing equipment, data integration complexities, and the need for thorough validation to ensure data accuracy are frequent hurdles. Additionally, coordinating with interdisciplinary teams—including neuroscientists, software developers, and clinical staff—requires clear communication to align technical innovations with research objectives. Overcoming these challenges typically involves proactive planning, continuous learning, and strong collaborative skills.

What is the difference between Neuroscience Research Engineer vs Neuroscientist?

AspectNeuroscience Research EngineerNeuroscientist
Required CredentialsBachelor's or Master's in Engineering, Neuroscience, or related fields; often some research experiencePh.D. in Neuroscience or related disciplines; extensive research background
Work EnvironmentResearch labs, tech companies, healthcare settings focusing on developing neurotechnologiesAcademic labs, research institutions, hospitals studying brain functions
Employer & Industry UsageTech firms, biotech companies, medical device manufacturersUniversities, research institutes, healthcare organizations

Neuroscience Research Engineers focus on applying engineering principles to develop neurotechnologies and solutions, often working in industry settings. Neuroscientists primarily conduct fundamental research to understand brain functions, typically in academic or clinical environments. Both roles require strong research skills but differ in their focus and application.

Does neuroscience research pay well?

Neuroscience research engineers typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start lower, but experienced professionals with advanced degrees and specialized skills can earn higher wages, especially in academic or industry settings with access to research funding and grants.

How do I become a neuroscience research engineer?

To become a neuroscience research engineer, typically a bachelor's degree in neuroscience, biomedical engineering, or a related field is required, often followed by a master's or Ph.D. for advanced roles. Skills in programming, data analysis, and laboratory techniques are essential, along with experience using tools like MATLAB or Python and familiarity with neuroimaging methods. Gaining research experience through internships or assistant positions can also improve job prospects.

What are popular job titles related to Neuroscience Research Engineer jobs in Washington?

For Neuroscience Research Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Neuroscience Research Engineer jobs in Washington look for?

The top searched job categories for Neuroscience Research Engineer jobs in Washington are:

What cities in Washington are hiring for Neuroscience Research Engineer jobs?

Cities in Washington with the most Neuroscience Research Engineer job openings:

Infographic showing various Neuroscience Research Engineer job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Neuroimaging & Image Acquisition and Processing Analyst

Evon Medics, LLC

Ellicott City, MD • On-site

$70K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Evon Medics, LLC is a leading medical device and neuroscience research company dedicated to developing groundbreaking therapies for Alzheimer’s Disease, Opioid Use Disorder, Traumatic Brain Injury, Chronic Pain, and other neurological conditions. As part of our mission, advanced neuroimaging techniques, including MRI, fMRI, diffusion-weighted MRI, and PET imaging modalities, are critical to our research and development.

We are seeking an experienced Neuroimaging Processing Analyst who specializes in acquisition, processing and analyzing neuroimaging data. This role involves harmonizing image acquisitions across sites and working with large-scale MRI, fMRI, diffusion-weighted MRI, and PET datasets to extract meaningful insights that drive innovation in our cutting-edge research and medical device development.

Job Description:

•             As a Neuroimaging & Image Acquisition and Processing Analyst, you will work closely with our neuroscience, R&D, and clinical research teams to develop and implement advanced imaging analysis pipelines for MRI, fMRI, diffusion-weighted MRI, PET, and other neuroimaging modalities. You will be responsible for harmonizing image acquisitions across study sites, processing, analyzing, and interpreting complex neuroimaging datasets, contributing to groundbreaking research in neurological disease diagnostics and treatment development. In addition to developing cutting-edge image processing algorithms, you will play a key role in designing neuroimaging experiments, computational models, optimizing data workflows, and ensuring compliance with research and clinical standards. Collaboration with cross-functional teams, including radiologists, biomedical engineers, neuroscientists, and clinicians, will be integral to integrating imaging findings into ongoing research and device development projects. The ideal candidate is a highly skilled and independent expert in neuroimaging analysis, comfortable working with large datasets, implementing AI-based solutions, and advancing state-of-the-art imaging techniques.

Key Responsibilities:

Image Acquisition, Processing & Analysis

•             Develop, implement, and optimize advanced image acquisition and processing algorithms for brain MRI, fMRI, diffusion-weighted MRI, PET, and other neuroimaging data.

•             Perform statistical analysis, segmentation, filtering, and preprocessing of imaging datasets.

•             Conduct MR bias correction, histogram analysis, and principle axis transformation for enhanced image interpretation.

•             Implement image registration, surface fitting, and reconstruction techniques for accurate visualization.

Data Interpretation & Research Support

•             Analyze neuroimaging datasets to derive quantitative insights supporting R&D projects.

•             Develop pipelines for automated processing and reproducibility in imaging workflows.

•             Collaborate with neuroscience and engineering teams to integrate imaging results into research findings for publications.

Technical Expertise & Development

•             Work with machine learning and AI-based approaches for neuroimage analysis.

•             Maintain and enhance processing tools for large-scale neuroimaging datasets.

•             Ensure compliance with HIPAA and research standards when handling patient imaging data.

Qualifications:

Education & Experience

•             Master’s or PhD in Biomedical Engineering, Computer Science, Neuroimaging, Neuroscience, or a related field.

•             5+ years of experience in neuroimaging data processing, analysis, and interpretation. Familiarity with the human connectome project (HCP) guidelines.

Technical Skills

•             Strong expertise in brain MRI, fMRI, diffusion-weighted MRI, and PET image processing.

•             Experience with neuroimaging toolkits such as SPM, FSL, FreeSurfer, ANTs, AFNI, ITK, or similar.

•             Proficiency in Python, MATLAB, or C++ for image analysis and algorithm development.

•             Hands-on experience with brain image segmentation, registration, and statistical modeling.

•             Strong understanding of signal and image processing techniques used in neuroimaging.

Preferred Skills

•             Familiarity with machine learning techniques applied to neuroimaging.

•             Knowledge of cloud computing for large-scale imaging datasets (AWS, Google Cloud).

•             Previous experience working in healthcare, clinical trials, or neuroscience research is a plus.

We offer a competitive salary and benefits package. If you believe you have a strong candidacy for this role and unable to apply on this portal, kindly send your resume and cover letter to recruitment@evonmedics.org with the subject line “Neuroimaging & Image Aquisition and Processing Analyst”. Also indicate your earliest start date, if considered for the role.

View the company website https://www.evonmedics.com and our LinkedIn page https://www.linkedin.com/company/evon-medics-llc for more information about the company.

Company Description

Evon Medics, LLC is a medical device and neuroscience research company that develops innovative devices, therapeutics, diagnostics, and digital therapeutics set to disrupt the healthcare industry. We are leading the development of Disease Modifying Therapies (DMT) for Alzheimer’s Disease, Opioid Use Disorder, Traumatic Brain Injury, Chronic Pain, and other neurological diseases that have remained elusive to treatment. Our breakthrough therapeutic products have the potential to reap first-to-market benefits for a DMT in the markets we compete, and we are laser-focused on the commercialization and distribution of our products to help alleviate the sufferings of billions of patients all over the world.