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Neural Interface Research Jobs (NOW HIRING)

... interfaces. • Research Innovation : Conduct cutting-edge research in computer vision, neural policies, or natural language processing to develop adaptive and deterministic robotic behaviors for ...

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We ... Design, execute, interpret, and communicate the results of neural recording and stimulation ...

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at ... Evaluate software with simulated and real neural data, as well as with our BCI hardware in the loop

Research Engineer

Oakland, CA · On-site

$120K - $150K/yr

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at ... Evaluate software with simulated and real neural data, as well as with our BCI hardware in the loop

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Neural Interface Research information

What are the key skills and qualifications needed to thrive in Neural Interface Research, and why are they important?

To thrive in Neural Interface Research, you need advanced knowledge in neuroscience, biomedical engineering, and signal processing, often supported by a graduate degree in a related field. Proficiency with programming languages (such as Python or MATLAB), neural data acquisition systems, and simulation tools is typically required. Exceptional problem-solving abilities, collaboration, and strong communication skills help researchers innovate and translate findings across multidisciplinary teams. These skills are crucial for developing cutting-edge neural technologies and ensuring rigorous, impactful scientific progress.

What are some common interdisciplinary challenges faced by professionals in Neural Interface Research teams?

Neural Interface Research teams often bring together experts from neuroscience, engineering, computer science, and clinical backgrounds, which can lead to challenges in communication and aligning goals across disciplines. Collaborators may use different terminology or have varying expectations regarding project timelines and outcomes. Successful professionals in this field need to be proactive in fostering clear communication, demonstrating adaptability, and developing a basic understanding of adjacent fields to effectively contribute to collaborative projects. These interdisciplinary challenges ultimately offer valuable opportunities for personal growth and innovation.

What is neural interface research?

Neural interface research is the scientific study and development of technologies that connect the nervous system, particularly the brain, with external devices or computers. These interfaces, often called brain-computer interfaces (BCIs) or neural prosthetics, enable direct communication between neural tissue and electronic systems. The goal of this research is to restore lost sensory or motor functions, treat neurological disorders, or enhance human capabilities. Neural interface research is highly interdisciplinary, involving neuroscience, engineering, computer science, and medicine. Advances in this field have the potential to revolutionize healthcare and human-machine interaction.

What is the difference between Neural Interface Research vs Neural Engineering?

AspectNeural Interface ResearchNeural Engineering
Required CredentialsAdvanced degrees in neuroscience, biomedical engineering, or related fieldsSimilar credentials, often with additional focus on device design and implementation
Work EnvironmentResearch labs, universities, biotech companiesResearch labs, medical device companies, clinical settings
Industry UsageFocuses on developing and understanding neural interfacesDesigning, testing, and applying neural interface devices
Common Search IntentResearch methods, latest advancements, academic rolesProduct development, device engineering, clinical applications

Neural Interface Research primarily involves exploring and understanding neural interfaces through scientific investigation, while Neural Engineering focuses on designing and developing neural interface devices for practical use. Both roles require similar educational backgrounds but differ in their application and work environment.

More about Neural Interface Research jobs
What cities are hiring for Neural Interface Research jobs? Cities with the most Neural Interface Research job openings:
What states have the most Neural Interface Research jobs? States with the most job openings for Neural Interface Research jobs include:
Infographic showing various Neural Interface Research job openings in the United States as of May 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution.
Postdoctoral Associate- Neurophysiology/Transcriptomics

Postdoctoral Associate- Neurophysiology/Transcriptomics

Baylor College of Medicine

Houston, TX

Full-time

Posted 16 days ago


Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

49th of 529 rated colleges and universities


Job description

Summary

A postdoctoral associate position is available in the NIH-funded laboratory of Dr. Hsiao-Tuan Chao at the Jan and Dan Duncan Neurological Research Institute, which is affiliated with Baylor College of Medicine and Texas Children’s Hospital. We are seeking a highly motivated research scientist to join our team engaged in basic and translational neuroscience and genetics research. Our laboratory focuses on understanding neural circuit development and function, inhibitory neurobiology, cerebellar neural circuits, and synaptic function in neurodevelopmental and neurodegenerative disorders such as epilepsy, autism, ataxia, and leukoencephalopathies. We utilize multiple approaches including fruit fly and mouse models, genomic sequencing for disease gene discovery, state-of-the art imaging, transcriptomics, electrophysiology, molecular biology, molecular genetics, and behavioral techniques.

On-going projects address fundamental questions about the transcriptional regulation of inhibitory neuronal development and function in neural circuits, the role of cerebellar circuit dysfunction, and disrupted gene regulatory networks in neurologic disorders. This is an exciting opportunity to work at the interface of basic neuroscience and genetics research with translational potential in a highly collaborative and stimulating environment located in the nation’s largest research and medical center – Texas Medical Center. 

Job Duties
  • Plans, directs and conducts specialized and advanced research experiments. 
  • Evaluates and analyzes data.
  • Establishes new research protocols and procedures.
  • Summarizes research findings and publish results in research journals. •
  • Maintains laboratory operations.
  • Supervises research staff. 
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • Strong foundation and publication record in neuroscience, genetics, neurophysiology, transcriptomics, or developmental biology.
  • Candidate needs to have one of the three following areas of expertise: (1) electrophysiology and neural circuit analysis, (2) transcriptomics and sequencing approaches, or (3) developmental neurobiology.
  • Prior experience in hiPSC models or genetic model organisms (mouse or fruit fly), and neuroscience research preferred.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

PD; SN


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