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Neuroscience Engineering Jobs (NOW HIRING)

AdAstra

Head of Talent

San Francisco, CA

$150K - $225K/yr

Source, engage, assess, and close exceptional talent across engineering, hardware, ML, biotech, and neuroscience * Partner with hiring teams to design high-signal candidate evaluation tactics and ...

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How much do neuroscience engineering jobs pay per year?

As of Jul 16, 2026, the average yearly pay for neuroscience engineering in the United States is $92,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $114,000.00 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 does a neuroscience engineer do?

A neuroscience engineer designs and develops technologies to study and treat the nervous system, often working with neural interfaces, brain-computer interfaces, or neuroprosthetics. They use skills in engineering, biology, and computer science, and may work in research labs, healthcare, or industry settings to improve understanding and treatment of neurological conditions.

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

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 engineers make $500,000?

Senior neuroscience engineers or biomedical engineers working in specialized fields such as neurotechnology, brain-computer interfaces, or medical device development can reach salaries around $500,000, especially with extensive experience, advanced degrees, and leadership roles. High compensation often involves working in innovative environments, with skills in software, hardware, and data analysis, and may include stock options or bonuses.

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. Graduates with a neuroscience degree can pursue engineering careers by gaining additional skills in areas like electrical engineering, biomedical engineering, or computer science through coursework, certifications, or hands-on experience. Having a strong foundation in research methods and technical skills can facilitate entry into engineering positions related to neural devices, brain-computer interfaces, or neurotechnology development.

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 engineers make $300,000 a year?

In neuroscience engineering, professionals such as senior biomedical or neuroengineering directors, research leads, or those with extensive experience and advanced degrees can earn $300,000 or more annually. High salaries often require specialized skills, leadership roles, and working in well-funded research institutions or biotech companies.
More about Neuroscience Engineering jobs
What cities are hiring for Neuroscience Engineering jobs? Cities with the most Neuroscience Engineering job openings:
What states have the most Neuroscience Engineering jobs? States with the most job openings for Neuroscience Engineering jobs include:
What job categories do people searching Neuroscience Engineering jobs look for? The top searched job categories for Neuroscience Engineering jobs are:
Neuroscience Engineering jobs near you
Infographic showing various Neuroscience Engineering job openings in the United States as of July 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 36% In-person, 46% Hybrid, and 18% Remote job distribution, with an average salary of $92,956 per year, or $44.7 per hour.
Fellow in Human-Machine Interface Clinical Research - Bionics Lab

Fellow in Human-Machine Interface Clinical Research - Bionics Lab

Harvard University

Cambridge, MA • On-site

$50K - $70K/yr

Full-time

Re-posted 25 days ago

Harvard University rating

8.4

Company rating: 8.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

81st of 555 rated colleges and universities

Job description

Position
Details
Title
Fellow in Human-Machine Interface Clinical Research - Bionics Lab
School
Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area
Bioengineering
Position Description
The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) Bionics Lab (https://bioniclab.seas.harvard.edu/) is seeking a highly motivated Fellow with a background in Biomedical Engineering, Mechanical Engineering, or Neural Engineering to join our interdisciplinary research team. This position supports an exciting clinical trial exploring muscle-controlled robotic systems, pushing the boundaries of human-machine interfacing and neuroprosthetics.
You will work at the intersection of neuroscience, engineering, and clinical science, gaining hands-on experience with human subject research, robotics, and electrophysiological data analysis, while contributing to impactful translational research.
Key Responsibilities
  • Support the design and execution of a clinical trial focused on muscle-driven robotic technologies.
  • Assist in IRB protocol development and ongoing human subject documentation.
  • Conduct electromyographic (EMG) recordings and signal processing to analyze motor control and performance.
  • Interface with patients, clinicians, engineers, and neuroscientists as part of a collaborative team.
  • Perform data collection, processing, and statistical analysis in Python or MATLAB.
  • Document findings, prepare reports, and contribute to manuscript preparation.
  • Ensure research activities comply with regulatory standards and ethical guidelines.

Why Join Us?
This position offers a unique opportunity to contribute to cutting-edge research in neuroengineering, while working alongside roboticists, neuroscientists, and clinicians. You'll gain valuable experience in clinical trial execution, device testing, and data science-skills that are highly relevant for future careers in graduate school, medical school, or industry R&D.
The project is fast-paced and impact-driven, providing significant room for growth, learning, and publication.
Basic Qualifications
  • Bachelor's degree (BS) in Biomedical Engineering, Mechanical Engineering, Neural Engineering,

Additional Qualifications
  • Prior experience in clinical trial operations or assisting in clinical studies.
  • Familiarity with prosthetics, robotic systems, or neuromodulation technologies.
  • Exposure to interdisciplinary collaboration in research settings.or a closely related field.
  • 2+ years of research experience, ideally involving human subjects or clinical research.
  • Proficiency in electromyography (EMG) analysis and basic signal processing techniques.
  • Strong programming skills in MATLAB or Python.
  • Familiarity with IRB protocols, informed consent procedures, and human subject protections.
  • Excellent organizational skills and the ability to work independently in a fast-paced research environment.
  • Strong interpersonal and written communication skills.

Special Instructions
Please include aslide deck that captures your most salient research experience as part of your application.
Contact Information
mmendez@seas.harvard.edu
bionicslab@seas.harvard.edu
Contact Email
mmendez@seas.harvard.edu
Salary Range
$50,000 - $70,000
Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required
2
Maximum Number of References Allowed
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