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Neural Engineering Jobs in Cambridge, MA (NOW HIRING)

Dayhoff Labs

AI Research Scientist

Cambridge, MA · On-site

About us We're reverse-engineering the origin of life - one of the great unsolved problems in ... Train large models across three threads: enzyme-substrate prediction, neural network potentials ...

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Neural Engineering information

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How much do neural engineering jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for neural engineering in Cambridge, MA is $21.11, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $22.84 per hour, depending on experience, location, and employer.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

What are jobs in neural engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

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

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.

How much do neural engineers make?

Neural engineers typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Advanced skills in neurotechnology, programming, and biomedical engineering can lead to higher compensation, especially in research or industry roles.

Is neural engineering a good career?

Neural engineering is a growing field that combines neuroscience, engineering, and technology to develop medical devices and brain-computer interfaces. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The career can be rewarding for those interested in innovation and interdisciplinary work.

What can you do with a neural engineering degree?

A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or industry settings, utilizing skills in neuroscience, engineering, and programming tools like MATLAB or Python. Opportunities include roles in biomedical device development, neural data analysis, and clinical applications.
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Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Cambridge, MA as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $43,910 per year, or $21.1 per hour.

Postdoctoral Fellow - Neural Engineering at Harvard BIONICs Lab

Harvard University

Cambridge, MA • On-site

$67K - $91K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

82nd of 627 rated colleges and universities

Job description

Postdoctoral Fellow - Neural Engineering at Harvard BIONICs Lab

Title - Postdoctoral Fellow - Neural Engineering at Harvard BIONICs Lab

School - Harvard John A. Paulson School of Engineering and Applied Sciences

Department/Area - Bioengineering

Position Description - The Srinivasan Lab is looking to hire two postdoctoral fellows who are motivated, hard working, and creative scientists, engineers, and/or doctors. The lab is committed to fostering lifelong learners in an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/We are recruiting fellows from diverse backgrounds interested in solving tough problems in neural interfacing. Projects involve peripheral nerve regeneration, mechanoreceptor-specific targeting, and surgical reconstruction for prosthetic interfacing.

Basic Qualifications - A PhD in Bioengineering, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, and/or Neuroscience

Additional Qualifications - Experience in tissue culture, neuromuscular diseases, neuromodulation technologies, biomechanics, human studies. Extensive experience with at least two of the following: electrophysiology, rodent experimentation, programming of controllers, neuroprosthetics or neuromodulators, peripheral nerve surgery, neural interfacing models. Track record of disseminating research through impactful publications and presentations (at least three first author publications). Desire to work in a multidisciplinary and diverse team environment. Desire to train and collaborate with PhD, MS, and undergraduate lab members. Willingness to participate in grant writing.

Special Instructions - Required Application documents: CV and 2-3 letters of recommendation. Recommended additional materials: Cover letter (max 1 page), Research statement (max 2 pages), 3 representative publications, Deck of slides (max 10) to describe prior research experience. Supplemental Application Questions to Answer in your Cover Letter: What sorts of projects would you like to carry out in the lab? What are your greatest strengths and areas you would like to improve on?

Contact Information - Melissa Mendez mmendez@seas.harvard.edu

Salary Range - $67,600 – $91,826. 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 - 3

Keywords

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Supplemental Questions

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Applicant Documents

Required Documents

  • Curriculum Vitae

Optional Documents

  • Cover Letter
  • Statement of Research
  • Publication
  • Publication 2
  • Publication 3
  • Other

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