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Neurotechnology Jobs (NOW HIRING)

Synaptrix Labs

Grant Writer (PhD)

New York, NY

We believe the next leap in neurotechnology will come from the right fusion of deep learning, signal processing, and computational neuroscience, not just better hardware. Our mission is to build ...

Synaptrix Labs

Grant Writer (PhD)

New York, NY · On-site

We believe the next leap in neurotechnology will come from the right fusion of deep learning, signal processing, and computational neuroscience, not just better hardware. Our mission is to build ...

Synaptrix Labs

Grant Writer (PhD)

New York, NY · On-site

We believe the next leap in neurotechnology will come from the right fusion of deep learning, signal processing, and computational neuroscience, not just better hardware. Our mission is to build ...

Synchron Inc.

Field BCI Specialist-Buffalo, NY

Buffalo, NY · Remote

$90K - $120K/yr

This is a hands-on, field-based role where clinical care, cutting-edge neurotechnology, and real-world data converge. You'll work directly with patients, caregivers, and clinical sites--primarily in ...

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How much do neurotechnology jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for neurotechnology in the United States is $37.80, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $41.35 per hour, depending on experience, location, and employer.

What types of projects or technologies might I work on as a neurotechnology professional?

As a neurotechnology professional, you may work on projects involving brain-computer interfaces, neural prosthetics, neuromodulation devices, or advanced neuroimaging systems. Daily tasks could include analyzing neural data, developing algorithms to interpret brain signals, collaborating with clinicians for device testing, and ensuring compliance with regulatory standards. Most teams are highly interdisciplinary, so you’ll often work alongside neuroscientists, engineers, clinicians, and software developers. The diversity of projects provides opportunities to learn new skills and contribute to advancements that can significantly impact patient care and neurorehabilitation.

What are the key skills and qualifications needed to thrive in the Neurotechnology position, and why are they important?

To thrive in Neurotechnology, you need a strong background in neuroscience, biomedical engineering, or a related field, along with proficiency in research methodologies and data analysis. Experience with neuroimaging tools (such as EEG, fMRI), programming languages (like Python or MATLAB), and relevant certifications in neural engineering or medical devices are highly valued. Critical thinking, problem-solving abilities, and effective interdisciplinary communication help professionals excel in collaborative research and development environments. These skills are vital for driving innovation, ensuring safety and efficacy, and successfully translating neurotechnological advancements into real-world applications.

What is a Neurotechnology job?

A Neurotechnology job involves working at the intersection of neuroscience, engineering, and technology to develop tools that interact with the nervous system. Professionals in this field may work on brain-computer interfaces (BCIs), neuroprosthetics, medical imaging, or neurorehabilitation devices. Roles can range from research and development to clinical applications, requiring expertise in neuroscience, engineering, AI, and data analysis. These jobs are found in academia, healthcare, biotech, and tech industries, aiming to enhance brain function, treat neurological disorders, or improve human-computer interactions.

More about Neurotechnology jobs
What cities are hiring for Neurotechnology jobs? Cities with the most Neurotechnology job openings:
What are the most commonly searched types of Neurotechnology jobs? The most popular types of Neurotechnology jobs are:
What states have the most Neurotechnology jobs? States with the most job openings for Neurotechnology jobs include:
What job categories do people searching Neurotechnology jobs look for? The top searched job categories for Neurotechnology jobs are:
Neurotechnology jobs near you
Infographic showing various Neurotechnology job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $78,621 per year, or $37.8 per hour.

Assistant Professor, NeuroTechnology

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Posted 23 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

51st of 537 rated colleges and universities

Job description

Description
Carnegie Mellon University (CMU) seeks highly qualified applicants for a tenure-track position within the Neuroscience Institute. Carnegie Mellon University (CMU) invites applications for a tenure-track faculty position jointly appointed between the Neuroscience Institute (NI) and the Department of Biomedical Engineering (BME). Appointments will be considered at the rank of Assistant Professor for scholars whose work advances neurotechnology. We are seeking candidates that fit our translational neurotechnology aspirations. Under the umbrella of "transforming neuro", CMU's NI and BME department place emphasis on neurocentric instrumentation, inference, and intervention. We are looking for candidates that fall in the broad area of neurotechnology for enabling intervention. Of particular interest are candidates that have a track record/ interest in human centric/clinical research as well as commercialization/entrepreneurship interest. The successful candidate will join a vibrant, collaborative environment spanning multiple departments at CMU, with its core strengths in robotics, machine learning and AI, cognitive and systems neuroscience, neurotechnology, data science, engineering, and biological sciences provide an exceptional platform for cross-disciplinary discovery and translation. Aspiring entrepreneurs will be supported by a variety of resources for entrepreneurship education, engagement, and collaboration. Responsibilities include establishing a visible, externally funded research program; teaching and mentoring in NI and BME; recruiting and supervising both masters and Ph.D. students; and contributing to curricular innovation, including emerging initiatives, such as a new masters program in neural technologies.
Information about the Neuroscience Institute can be found at https://www.cmu.edu/ni/, and about the Department of Biomedical Engineering at https://www.cmu.edu/bme.
Qualifications
Qualifications include a Ph.D. or equivalent in neuroscience, biomedical engineering, robotics, computer science, electrical engineering, or a related field; evidence of research excellence and potential for leadership; and a commitment to high-quality teaching and mentoring.
Application Instructions
Applicants should submit their materials via Interfolio. Required materials include a one-page cover letter describing fit to NI, CMU, and the collaborative Pittsburgh community in neuroscience, biomedical engineering, robotics, and related disciplines; a research statement (three to four pages); a one- to two-page teaching statement; a one-page document outlining the translation/commercialization opportunities of their research; a curriculum vitae; and three letters of recommendation. Applicants may also submit an optional 1-page Personal and Service statement.
Review of applications will begin immediately and all applications received by November 16th, 2025 will be given full consideration. The positions will be open until filled.

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