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Neural Interface Research Jobs (NOW HIRING)

Synchron Inc.

Research Scientist, BCI-New York

Brooklyn, NY · On-site

$150K - $220K/yr

About Synchron Synchron's vision is to build non-surgical brain-computer interfaces at global scale ... Analyze and interpret multimodal data (neural, behavioral, video) to inform product and research ...

Washington University of St. Louis

Performs independently complex research studies, experiments and assays. The ideal candidate is ... neural decoding, and peripheral nerve interfaces, in close collaboration with WashU's neurosurgery ...

Neuralink

MRI & CT Technologist (Part-Time)

Austin, TX · On-site

... of neural interface technology. Key Responsibilities: * Technical Acquisition: Execute complex ... Research Mindset: Comfort working with both human participants and veterinary subjects in a fast ...

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

You will work closely with leading experts in neural decoding and AI, pushing the boundaries of what's possible in brain computer interfaces. Key Responsibilities * Research & Model Development:

Kinetica

Vice President of Technology

Boston, MA · On-site

... support preclinical research and therapeutic development. Role Summary The Vice President of ... Lead development and validation of brain and peripheral nerve organoid models, neural interfaces ...

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Neural Interface Research information

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.

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 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 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.
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Neural Interface Research jobs near you
Infographic showing various Neural Interface Research job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.
MRI & CT Technologist (Part-Time)

MRI & CT Technologist (Part-Time)

Neuralink

Austin, TX

Other

Posted 14 days ago

Job description

Team Description

The Medical Imaging team at Neuralink is responsible for supporting preclinical, clinical, and R&D operations across the company. Our multidisciplinary group of scientists, medical physicists, and engineers work in lockstep to test hypotheses and validate safety within preclinical models. We lead the medical imaging screening process for human participants seeking to receive the Neuralink implant, collaborating closely with Radiologists and Neurosurgeons. We drive innovation in R&D, developing new applications that leverage advanced imaging to provide critical insights for surgical planning, brain mapping, and image analysis.

About the Role

As a part-time MRI & CT Technologist at Neuralink, you will lead the scanning and acquisition efforts for our Texas-based imaging facility. You will operate the world's most advanced imaging hardware-the Siemens Magnetom Cima.X and the NAEOTOM Alpha Photon Counting CT.

This role is centered on high-fidelity data acquisition across both clinical (human) and preclinical (veterinary) studies. Beyond standard imaging, you will be responsible for the technical setup of fMRI stimulus hardware and the administration of contrast media. You will work as a core member of a multidisciplinary team alongside veterinary staff, medical physicists, engineers, and physicians to push the boundaries of neural interface technology.

Key Responsibilities:

  • Technical Acquisition: Execute complex imaging protocols including high-resolution anatomical, functional MRI (fMRI), and photon-counting CT.
  • Contrast Administration: Safely perform peripheral IV starts and administer contrast media for both MRI and CT human subjects, working under the onsite supervision of the Radiologist and Principal Investigator.
  • Stimulus Integration: Set up and troubleshoot fMRI stimulus presentation hardware (e.g., visual/auditory stimuli, response pads, and synchronization triggers).
  • Volunteer & Subject Management: Lead the scanning process for human volunteers-including safety screening and fMRI coaching-as well as preclinical veterinary subjects.
  • Surgical & Clinical Support: Partner with Neurosurgeons and Radiologists to acquire high-quality data for surgical planning, brain mapping, and safety studies.
  • Operational Excellence: Manage day-to-day scanner readiness, coordinate vendor maintenance, and maintain impeccable QA/QC records.

Position type: Part-time or Contractor

About You

We are looking for a technologist who is technically "handy"-someone who enjoys the challenge of integrating hardware and troubleshooting the signal chain between the scanner and research equipment.

Minimum Requirements:

  • Certifications: Active ARRT (MR) and ARRT (CT) certifications.
  • Texas Licensure: Active Medical Radiologic Technologist (MRT) license through the Texas Medical Board.
  • Clinical Skills: Proficiency in IV placement and contrast administration for human subjects.
  • Console Expertise: Proficiency with Siemens Syngo (via/XA) platforms.
  • Technical Proficiency: Experience or strong comfort level with fMRI hardware setups (triggers, stimulus monitors, and cabling).
  • Research Mindset: Comfort working with both human participants and veterinary subjects in a fast-paced lab environment.

Preferred Qualifications:

  • 5+ years of experience in a high-gradient MRI environment or dedicated research facility.
  • Experience working directly with Neurosurgeons or within an OR/Surgical imaging environment.
  • Prior experience with fMRI task-based scanning and peripheral hardware synchronization.
  • A deep interest in the frontier of neurotechnology and brain-machine interfaces.

Apply