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$41K

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How much do neural biomedical engineering phd jobs pay per year?

As of Sep 10, 2026, the average yearly pay for neural biomedical engineering phd in the United States is $94,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $116,000.00 per year, depending on experience, location, and employer.

What is a neural biomedical engineering PhD?

A Neural Biomedical Engineering PhD is a doctoral program that focuses on the intersection of neuroscience, biomedical engineering, and technology. Students in this program conduct advanced research on neural systems, medical devices, brain-machine interfaces, and computational neuroscience. Graduates are trained to develop innovative solutions for diagnosing, treating, and understanding neurological disorders. The degree prepares individuals for careers in academia, industry, or clinical research, where they can contribute to advancements in neural engineering and healthcare.

What are the key skills and qualifications needed to thrive as a neural biomedical engineering PhD?

To thrive as a Neural Biomedical Engineering PhD, you need advanced knowledge in neuroscience, biomedical engineering, and quantitative research methods, usually supported by a doctoral degree. Proficiency in programming languages (such as Python or MATLAB), neuroimaging tools, and statistical analysis software is essential, along with experience in laboratory techniques. Strong problem-solving abilities, interdisciplinary collaboration, and effective scientific communication are standout soft skills for this role. These skills are crucial for driving innovation, successfully conducting research, and translating discoveries into real-world neural interfacing or medical solutions.

What are some common interdisciplinary challenges faced by neural biomedical engineering PhD candidates during research projects?

Neural Biomedical Engineering PhD candidates often work at the intersection of engineering, neuroscience, and medicine, which can present unique interdisciplinary challenges. Collaborating with professionals from diverse backgrounds requires effective communication to bridge gaps in terminology and methodology. Additionally, integrating complex biological data with advanced engineering techniques can be demanding, and candidates must be adaptable and proactive in learning new skills. Successfully navigating these challenges not only enhances research outcomes but also prepares candidates for collaborative roles in academia or industry.

What is the difference between Neural Biomedical Engineering Phd vs Neural Engineer?

AspectNeural Biomedical Engineering PhdNeural Engineer
Required CredentialsDoctorate (Phd) in Neural or Biomedical EngineeringBachelor's or Master's in Engineering, Neuroscience, or related fields
Work EnvironmentResearch labs, academia, industry R&DMedical device companies, research institutions, healthcare settings
Industry UsageAcademic research, advanced R&D, teachingProduct development, clinical applications, hardware/software design

Neural Biomedical Engineering Phd professionals focus on advanced research, development, and teaching in neural and biomedical engineering fields. Neural Engineers typically work on designing and implementing neural interfaces and devices, often with less emphasis on academic research. Both roles overlap in industry and research environments, but the Phd indicates a higher level of specialization and research expertise.

What are popular job titles related to Neural Biomedical Engineering Phd jobs?

For Neural Biomedical Engineering Phd jobs, the most frequently searched job titles are:

Infographic showing various Neural Biomedical Engineering Phd job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $94,807 per year, or $45.6 per hour.

2026 PhD Graduate - Neural and Cognitive Engineering Researcher

Laurel, MD • On-site

Johns Hopkins Applied Physics Laboratory
Manufacturing • 5 - 10K employees
Learn more about Johns Hopkins Applied Physics Laboratoryexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 75 rated research

Job description

Description
Are you passionate about designing systems or algorithms using what we know about the mind and brain?
Do you want to help invent the future of how people interact with intelligent systems?
If you are graduating with a PhD in Biomedical Engineering, Neuroscience, Cognitive Science, Computer Science, or a related subject area, we'd love to have you join our team!
We are seeking a researcher to contribute to and lead pioneering work in connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research. We are a large multidisciplinary team of engineers and scientists engaged in groundbreaking research in applied neuroscience, artificial intelligence, robotics, and complex systems. We are looking for a motivated and collaborative teammate to support research and development of intelligent systems as a strategic advantage for the nation.
As a Neural and Cognitive Engineering Researcher...
  • Your primary role will be developing algorithms and/or systems in domains spanning connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research.
  • You will make an impact as an emerging leader on a multi-disciplinary research team, collaboratively leading and conducting pioneering research with government and commercial partners.
  • You will collaborate with engineers and scientists to design and perform human subjects research, machine learning, software development, and/or biomedical signal processing.
  • You will communicate key findings both internally across teams and externally to sponsors, including in proposal development.

Qualifications
You meet our minimum qualifications for the job if you...
  • Have a PhD in Biomedical Engineering, Neuroscience, Cognitive Science, Computer Science, or a related discipline
  • Have classroom or professional experience developing software and/or data analysis scripts
  • Have classroom or professional experience conducting research on connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research
  • Are able to obtain a final Secret level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...
  • Have classroom or professional experience developing and/or implementing machine learning algorithms applied to biomedical data, including but not limited to neurophysiological data
  • Have experience working on a fast-paced government-funded effort (e.g., DARPA project).
  • Have a Secret level security clearance or above.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually

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