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Neuroscience Engineering Jobs in Seattle, WA (NOW HIRING)

They are seeking a Research Engineer to develop AI tools for scientific discovery and build infrastructure for agentic research, contributing to various domains such as biology and neuroscience.

... neuroscience, social science, etc. • Designing, building, and training machine learning or ... Bringing software engineering best practices to a research environment. • Supporting and ...

... neuroscience, social science, etc. • Designing, building, and training machine learning or ... Bringing software engineering best practices to a research environment. • Supporting and ...

Bachelor's Degree BS in Neuroscience preferred * upon hire: National Neurophysiologic Intraoperative Monitoring * Experience with networking and computer programming Preferred Qualifications:

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Neuroscience Engineering information

See Seattle, WA salary details

$39.8K

$105.8K

$196.9K

How much do neuroscience engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for neuroscience engineering in Seattle, WA is $105,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $129,700.00 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 Seattle, WA? For Neuroscience Engineering jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Neuroscience Engineering jobs in Seattle, WA look for? The top searched job categories for Neuroscience Engineering jobs in Seattle, WA are:
Infographic showing various Neuroscience Engineering job openings in Seattle, WA as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $105,787 per year, or $50.9 per hour.

Postdoctoral Scholar in Speech and Hearing Sciences

University of Washington

Seattle, WA • On-site

$5.7K - $6.0K/mo

Full-time

Re-posted 25 days ago


University Of Washington School Of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

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Job description

Description
A Postdoctoral Scholar position is available working under the general direction of a Principal Investigator(s), this position will help conduct a Bezos Family Foundation-funded research study aiming to investigate parent infant interaction with a focus on music and speech at the University of Washington Seattle Campus. This job focuses on analyzing a large longitudinal dataset (video-audio recordings and infant MEG data) as well as assisting in manuscript preparation and result dissemination. Additional opportunities exist in participating in development and coordination of new research studies, as well as professional development for careers in independent research, such as independent grant submission. Interest and career plan in developmental auditory neuroscience is recommended.
The position is full-time (12-month service period), with an initial appointment for one year, and renewal is possible pending satisfactory performance.
Applications will be continuously reviewed until position is filled. Preferred start date is November 1, 2025..
The base salary range for this position will be $5,705.00 - $6,051.00 per month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. depending on experience.
Job responsibilities
1. Research Duties (90%)
a. Develop analysis protocol for video-audio recordings of parent infant interaction and conduct in-depth analysis (20%).
b. Analyze infant MEG raw data (20%).
c. Perform statistical analyses on the dataset to address research questions (20%).
d. Review relevant literature, assist with preparing manuscripts and with the preparation of progress reports (10%).
e. Disseminate results through professional meetings or outreach activities (5%).
f. May supervise or co-supervise and train a student(s) to assist with these projects (5%).
g. In collaboration with the PI, develop study protocols (5%).
h. In collaboration with research staff, help recruit participating families, schedule their lab visits, obtain informed consent and help with neuroimaging procedures in participating infants. (5%).
2. Administrative Responsibilities (10%)
a. Document and manage research related tools, such as analysis scripts, testing protocols (3%).
b. Help research staff maintain a research database, including keeping identifiable secure, tracking appointments and raw data (3%).
c. Prepare materials for IRB as well as progress reports (3%).
d. Perform related duties as needed (1%).
Qualifications
Requirement
1. PhD in Speech and Hearing Science, Communication Sciences, Psychology, Neuroscience, Engineering, Computer Science, or a related field is required.
2. Strong analytical skills and experience with programming language(s) (MEG analysis in our lab is largely python based with additional R scripting)
3. Research backgrounds in early human development.
4. Strong communication and organizational skills, as well as ability to work in a team.
Desired
• Prior experience analyzing video recordings of parent and infant behaviors.
• Prior experience conducting research in human subjects using neuroimaging methods.
• Prior experience working with infants and young children.
• A strong publication record.
Conditions of Employment
• Ability to exercise substantial autonomy, independent judgment, and decision-making authority
• Ability to communicate, collaborate and work with team members
• Technical guidance will be given on unusual or complex problems and supervisory approval on proposed plans for projects will be required
Application Instructions
Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations Website.
Applicants should provide (1) a cover letter, (2) a curriculum vita, (3) copies of paper reprints and (4) contact information for two references. (5) statement describing past and/or potential contributions to equity, diversity, and inclusion.Application materials must be submitted via Interfolio. For any project questions, please email Christina Zhao, Ph.D., at zhaotc@uw.edu

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