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Online Neural Engineer Jobs (NOW HIRING)

... statistical and neural methods * Own the design of evaluation frameworks for offline/online ... engineering experience with 3+ years in search, information retrieval, or related fields * Strong ...

... across; online education, healthcare, gaming, robotics, experiential design, market research ... neural networks (CNN and RNN) * Excellent research and problem-solving skills along with ...

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Online Neural Engineer information

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$59.5K

$111.6K

$203K

How much do online neural engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for online neural engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What is the difference between Online Neural Engineer vs Data Scientist?

AspectOnline Neural EngineerData Scientist
Required CredentialsBachelor's or master's in neuroscience, computer science, or related fields; experience with neural data and machine learningBachelor's or master's in statistics, computer science, or related fields; proficiency in data analysis and programming
Work EnvironmentResearch labs, tech companies, healthcare settings focusing on neural data and AI applicationsBusiness, tech, or healthcare sectors analyzing large datasets to inform decisions
Employer & Industry UsageNeuroscience research institutions, biotech firms, AI startupsTech companies, finance, healthcare, consulting firms

Online Neural Engineers focus on developing and applying neural data analysis and AI models related to brain activity, often working in research or healthcare. Data Scientists analyze diverse datasets across industries to extract insights. While both roles require strong analytical skills, Online Neural Engineers specialize in neural data and AI applications in neuroscience, whereas Data Scientists have a broader scope across various data types and sectors.

What are the key skills and qualifications needed to thrive as an Online Neural Engineer, and why are they important?

To thrive as an Online Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and programming, often supported by a relevant degree such as in electrical engineering or neuroscience. Experience with neural signal processing software (e.g., MATLAB, Python), data acquisition systems, and knowledge of brain-computer interface (BCI) technologies are typically required, as well as familiarity with industry certifications or compliance standards. Excellent analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are crucial soft skills for collaborating across interdisciplinary teams. These skills ensure the development and maintenance of robust neural engineering systems that advance research and clinical applications in real-time, online environments.

How does an Online Neural Engineer typically collaborate with multidisciplinary teams to implement neural interface solutions?

Online Neural Engineers frequently work alongside neuroscientists, software developers, and hardware engineers to design, test, and refine neural interface systems. Collaboration often involves translating neuroscience research into practical algorithms, integrating neural data with real-time software, and ensuring hardware compatibility. Regular communication and agile development cycles are common, as teams troubleshoot challenges such as signal noise or real-time processing constraints. This collaborative environment helps bridge the gap between research and deployable neurotechnology solutions.

What are Online Neural Engineers?

Online Neural Engineers are professionals who design, develop, and implement neural network models and algorithms that operate in real-time or within online (live) systems. They often work with artificial intelligence, machine learning, and neural network architectures to process data as it is received, enabling immediate analysis and decision-making. Their work is crucial in applications like adaptive control systems, real-time data processing, and interactive AI services. Online Neural Engineers typically have strong backgrounds in computer science, neuroscience, data analysis, and programming.
What cities are hiring for Online Neural Engineer jobs? Cities with the most Online Neural Engineer job openings:
What are the most commonly searched types of Neural Engineer jobs? The most popular types of Neural Engineer jobs are:
What states have the most Online Neural Engineer jobs? States with the most job openings for Online Neural Engineer jobs include:

Research Opportunities (Systems Neuroscience/Neural Engineering) - Program in Physical Therapy

Washington University

Saint Louis, MO โ€ข On-site

Full-time

Posted 27 days ago


Job description

Scheduled Hours
40
Position Summary
The Systems Neuroscience and Rehabilitation (SNR) Lab, led by Laura McPherson, PT, DPT, PhD, has immediate openings for multiple staff research positions.
In the SNR Lab, we study changes in neural control of movement after neurological injury due to multiple sclerosis or stroke. We do this primarily through analysis of motor unit population discharge, obtained non-invasively via decomposition of high-density surface electromyography. We are interested in how these changes relate to specific motor deficits and investigate how they can be targeted to improve the efficacy of neurorehabilitation interventions. We also explore various aspects of neural control of movement in the intact nervous system, such as how it differs among muscles with different biomechanical functions.
Our growing lab is located within the WashU Medicine, which provides a vibrant, highly collaborative environment for neural engineering and rehabilitation research.
Job Description
Primary Duties & Responsibilities:
More information about the lab can be found at the SNR Lab website: https://sites.wustl.edu/snrlab/.
Working Conditions:
  • Typically sitting at desk or table.
  • Typically standing or walking.
  • Office equipment.
  • Lab/research equipment.
  • Working with human subjects - must be physically able to wear any appropriate protective equipment.

Salary Range:
Base pay is commensurate with experience.
The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.
Required Qualifications
Education:
Bachelor's degree or combination of education and/or experience may substitute for minimum education.
Certifications /Professional Licenses :
No specific certification/professional license is required for this position.
Work Experience:
No specific work experience is required for this position.
Skills:
Not Applicable
Driver's License:
A driver's license is not required for this position.
More About This Job
Preferred Qualifications:
  • Bachelor's, Master's, or Doctoral degree in biomedical engineering, rehabilitation science, kinesiology, or neuroscience (or a closely related field).
  • Prior experience with data management and analysis and record keeping.
  • Experience in the following areas is highly desirable: MATLAB (running established programs, debugging existing programs, and/or programming new programs), and/or R (for use in statistical analyses and figure preparation), project management, human neurophysiology and/or rehabilitation research, analysis of biological signals (force/torque, EMG, motor unit discharge), data acquisition/instrumentation.
  • Excellent skills related to written and verbal communication, organization, and problem solving. Ability to utilize these skills with all levels of personnel and for technical publications.
  • Ability to work both independently and as part of a team.
  • Past experience in human subject research, and familiarity with IRB protocol procedures and HIPAA privacy requirements.
  • Demonstrated ability to implement general laboratory procedures, conduct research and record findings.
  • Ability to prioritize tasks in a diverse environment.
  • Highly organized with good time management skills. These skills are essential to be able to prioritize a multifaceted workload and handle a variety of responsibilities in a calm and flexible manner.
  • Strong interpersonal and customer service skills with the ability to interact professionally and courteously, in a team environment, with faculty, staff, students, clinicians, external collaborators, and participants.

Preferred Qualifications
Education:
No additional education unless stated elsewhere in the job posting.
Certifications/Professional Licenses:
No additional certification/professional licenses unless stated elsewhere in the job posting.
Work Experience:
No additional work experience unless stated elsewhere in the job posting.
Skills:
Not Applicable
Grade
00
Questions
For frequently asked questions about the application process, please refer to our External Applicant FAQ.
Accommodation
If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.
All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.
Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
Benefits Statement
Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.
EEO Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.