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Neuroscience Engineer Jobs (NOW HIRING)

Neuralink

Clinical Scientist

Austin, TX

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the ...

Astera

Staff Software Engineer

Emeryville, CA · On-site

$200K - $500K/yr

We are integrating neuroscience, AI, and bioengineering to understand and digitally model the architecture of the human brain. Position Summary We are looking for an ambitious Staff Software Engineer ...

Astera

Principal Software Engineer

Emeryville, CA · On-site

$300K - $600K/yr

We are integrating neuroscience, AI, and bioengineering to understand and digitally model the architecture of the human brain. Position Summary We are looking for an ambitious Staff Software Engineer ...

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Neuroscience Engineer information

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$37K

$87.2K

$136.5K

How much do neuroscience engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for neuroscience engineer in the United States is $87,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $97,500.00 per year, depending on experience, location, and employer.

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, or a related field, often supported by an advanced degree. Familiarity with neuroimaging tools, signal processing software, programming languages (such as Python or MATLAB), and relevant certifications like Certified Neurotechnologist (CNT) are commonly required. Excellent problem-solving, interdisciplinary collaboration, and effective communication are crucial soft skills in this role. These skills and qualifications are important to develop innovative neurotechnological solutions and effectively bridge the gap between engineering and neuroscience research.

What is a neuroscience engineer?

A Neuroscience Engineer is a professional who combines principles of neuroscience and engineering to develop technologies that interact with the nervous system. They work on designing devices such as brain-computer interfaces, neural prosthetics, and tools for diagnosing or treating neurological disorders. Neuroscience Engineers collaborate with neuroscientists, physicians, and other engineers to translate scientific discoveries into practical applications that can help understand or treat brain-related conditions. Their work often involves programming, signal processing, and biomedical device development.

What are some common challenges faced by neuroscience engineers when working on interdisciplinary teams?

Neuroscience Engineers often collaborate with neuroscientists, clinicians, and software developers, which means bridging gaps in terminology and aligning different priorities can be challenging. Effective communication is crucial to ensure everyone understands project goals, technical constraints, and research outcomes. Additionally, integrating biological data with engineering models requires adaptability and a willingness to continuously learn from colleagues in other fields. Overcoming these challenges leads to innovative solutions and fosters a dynamic, rewarding work environment.

What is the difference between Neuroscience Engineer vs Biomedical Engineer?

AspectNeuroscience EngineerBiomedical Engineer
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, neuroscience research facilitiesHospitals, medical device companies, research labs
Industry UsageFocus on neural systems, brain-computer interfaces, neurotechnologyMedical devices, prosthetics, imaging systems

Neuroscience Engineers specialize in neural systems and neurotechnology, often working on brain-computer interfaces and neural data analysis. Biomedical Engineers have a broader focus on medical devices and healthcare solutions. While both roles require similar educational backgrounds and work in research or healthcare environments, their specific applications and areas of expertise differ.

More about Neuroscience Engineer jobs
What cities are hiring for Neuroscience Engineer jobs? Cities with the most Neuroscience Engineer job openings:
What states have the most Neuroscience Engineer jobs? States with the most job openings for Neuroscience Engineer jobs include:
What job categories do people searching Neuroscience Engineer jobs look for? The top searched job categories for Neuroscience Engineer jobs are:
Neuroscience Engineer jobs near you
Infographic showing various Neuroscience Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $87,220 per year, or $41.9 per hour.

Postdoctoral Fellow, Clinical Neuroscience_Zha Lab

Tulane University

New Orleans, LA • On-site

$47K - $63K/yr

Full-time

Re-posted 8 days ago

Tulane University rating

7.1

Company rating: 7.1 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

410th of 615 rated colleges and universities

Job description

Description
The Postodoctoral Fellow is required to manage data projects in the Tulane Center for Clinical Neurosciences. He/she will be responsible for the creation, updating, maintenance, quality control and filtering, validation, security and analyses of research projects databases; along with multiplatform system programming and provision of computerized reports as needed. He/she will also be responsible for developing bioinformatics and data analysis protocols and pipelines, and assisting with faculty analytic projects with a variety of other study related tasks, in compliance with standard operating procedures and regulatory agencies guidelines.
The Postdoctoral Fellowis responsible for all aspects of data analysis, including cleaning, organizing, managing, and monitoring data as well as composition of tables and figures to convey results. The He/She is responsible for writing reports, designing presentations and summarizing the findings from analysis. He/She assists with development of works for publication from study results, as well as compilation of any other research-related activities deemed necessary by the principal investigators for the success of the research projects.
Additionally, He/She will support the preparation and revision of internal and external written and visual materials to support academic productivity. The incumbent will collaborate with the Neuroscience team and work on a wide range of materials to include but not be limited to create, review, and edit neuroscience presentations, and review and edit grants, grant materials, and manuscripts for publication. He/She will apply established principles of writing and Tulane style and branding guidelines. He/She will develop an understanding of Tulane Neurosciences, which will allow them to create and edit materials with content, tone, and technical aspects aligned with Tulane Neuroscience objectives, editorial and brand tone and style, and the School's mission, vision, and values.
Qualifications
*Ph.D. or M.D., within 6 months of hiring
  1. Proficient in management, annotation, imputation and analysis of large scale genomics data
  2. Proficient in the Microsoft Office Suite.
  3. Proficient using a variety of genomic analysis software.
  4. Excellent organizational, communication and interpersonal skills
  5. Highly organized and detail oriented.
  1. Ability to pay attention to detail with a high degree of accuracy.
  2. Ability to work independently as well as part of a team.

Application Instructions
Please submit an application using Interfolio via the "Apply Now" button on this page.
Applicants are asked to provide their CV for review by the search committee. You may upload additional materials to your application.
Applications will be reviewed on an ongoing basis until the position is filled. If you have any questions about the application process please contact Kevin Grant at Kgrant5@tulane.edu

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