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Neural Biomedical Engineering Phd Jobs (NOW HIRING)

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Neural Biomedical Engineering Phd information

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$41K

$94.8K

$140K

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

As of Jun 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 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 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, and why are they important?

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.
LEAD ENGINEER - SR. COMPUTER SCIENTIST - Kinesioception Lead

LEAD ENGINEER - SR. COMPUTER SCIENTIST - Kinesioception Lead

Southwest Research Institute - Fulltime

San Antonio, TX

$92K - $121K/yr

Full-time

Posted 6 days ago


Southwest Research Institute rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

6th of 57 rated research


Job description

Who We Are: The Kinesioception Section develops automated perception and decision-support solutions for commercial and government clients in multiple domains, including human performance, data science, artificial intelligence, computer vision, machine learning, decision intelligence, and cognitive performance. Objectives of this Role: Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human performance optimization. Guide junior staff and customers in R&D concepts and practices and implementation of decision-support solutions.

Provide recommendations to management regarding technical direction. Capture new research projects with new and existing clients. Establish an industry presence by presenting our research and networking at conferences, workshops, and symposiums.

Daily and Monthly Responsibilities: Apply state-of-the art machine learning software solutions for various decision-support intelligent system applications. Interact with team members and customers to discuss technical solutions to problems. Manage the various aspects of a project (e.g., technical goals, team tasking, project budget, reporting).

Interact with clients (and potential clients) to discuss and propose technical solutions to unique problems. Requirements: Requires a Bachelors, Masters or a PhD in Computer Science, Biomedical Engineering, Electrical Engineering, or directly related degree field- 3 years experience with PhD, 4 years experience with Masters, 5 years experience with Bachelors. 3-5 years: Industry experience in software development, machine learning, biomedical, medical, or human performance optimization applications.

Experience with neural network development and associated tools and frameworks preferred. 1+ years: Business development experience; identifying and sourcing potential leads and customers; engaging with customers and identifying problem to be solved and developing statements of work; contract negotiation and closing the deal. Experience with leading project teams, budgets, schedules, risk management; excellent written, verbal, interpersonal skills.

A valid/clear driver's license is required.


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