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Neural Monitoring Jobs (NOW HIRING)

Jobtailor

Director of Product, AI Platform

San Francisco, CA · On-site

$274K - $287K/yr

... neural networks, or generative AI * Experience with networking, cloud-based services, and/or application monitoring Core Competencies Demonstrates expertise in AI/ML product management, with a strong ...

Epia Neuro

Staff Software Engineer

Alameda, CA · On-site

About Us Epia Neuro is a neural technology company developing intent-driven systems that restore ... monitor, and interact with an implanted brain-computer interface and a powered hand exoskeleton.

Emory University

Post Doctoral Researcher

Atlanta, GA · On-site

$111K/yr

Description Postdoctoral research fellow - Human movement disorders electrophysiology and neural ... monitoring, behavioral tasks, and machine learning. A postdoctoral fellow would spearhead a project ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

$145K - $195K/yr

Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural ... and monitoring. * Strong Linux experience. * Knowledge of high-performance computing (HPC ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

$145K - $195K/yr

Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural ... and monitoring. * Strong Linux experience. * Knowledge of high-performance computing (HPC ...

Emory University

Post Doctoral Researcher

Atlanta, GA

$112K/yr

Postdoctoral research fellow - Human movement disorders electrophysiology and neural engineering We ... monitoring, behavioral tasks, and machine learning. A postdoctoral fellow would spearhead a project ...

SPACE EXPLORATION TECHNOLOGIES CORP

... neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase ... and monitoring. * Knowledge of high‑performance computing (HPC) environments and parallel ...

Emory University

Post Doctoral Researcher

Atlanta, GA · On-site

$112K/yr

Description Postdoctoral research fellow - Human movement disorders electrophysiology and neural ... monitoring, behavioral tasks, and machine learning. A postdoctoral fellow would spearhead a project ...

Emory University

Post Doctoral Researcher

Atlanta, GA · On-site

$112K/yr

Description Postdoctoral research fellow - Human movement disorders electrophysiology and neural ... monitoring, behavioral tasks, and machine learning. A postdoctoral fellow would spearhead a project ...

Avride

Machine Learning Engineer

Austin, TX · On-site

... and automated monitoring. • Improve Model Deployment and Efficiency: Optimize inference ... Required : • Strong understanding of fundamental machine learning algorithms and neural network ...

Polaris, Inc.

Systems Engineer

Huntsville, AL · On-site

Execute enhancement requests, including model year updates and quality monitoring implementations. * Provide technical guidance and support to users of neural net and vision system applications.

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How much do neural monitoring jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for neural monitoring in the United States is $38.70, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $39.18 per hour, depending on experience, location, and employer.

What is neural monitoring?

Neural monitoring, also known as intraoperative neurophysiological monitoring (IONM), is a technique used during surgeries to assess the functional integrity of the nervous system in real time. It involves monitoring electrical signals from the brain, spinal cord, and peripheral nerves to help prevent potential neurological injuries during operations. Specialists use various electrodes and recording devices to track neural activity, alerting the surgical team of any changes that could indicate risk. This allows surgeons to make informed decisions and improve patient safety. Neural monitoring is commonly used in spinal, brain, and some vascular surgeries.

What are the key skills and qualifications needed to thrive as a neural monitoring specialist, and why are they important?

To thrive as a Neural Monitoring Specialist, a strong background in neurophysiology, anatomy, and electrophysiology is required, typically supported by a relevant degree and CNIM certification. Expertise in intraoperative neurophysiological monitoring (IONM) equipment, data analysis software, and surgical navigation systems is essential. Excellent attention to detail, communication skills, and the ability to remain calm under pressure help specialists collaborate effectively with surgical teams and respond quickly to changes. These skills ensure patient safety and optimal surgical outcomes by providing real-time neural function feedback during complex procedures.

What are some typical challenges faced by professionals in neural monitoring during surgical procedures?

One of the main challenges in Neural Monitoring is maintaining clear communication with the surgical team to ensure real-time interpretation of neurophysiological data. Professionals must also adapt quickly to unexpected changes in patient responses and troubleshoot complex equipment under time-sensitive conditions. Balancing the need for timely alerts with avoiding unnecessary interruptions requires both technical expertise and strong interpersonal skills. Additionally, working in high-stakes environments means attention to detail and the ability to remain calm under pressure are essential.

What is the difference between Neural Monitoring vs Neurodiagnostic Technologist?

AspectNeural MonitoringNeurodiagnostic Technologist
Required CredentialsNeural Monitoring certification, EEG, or neurophysiology trainingRegistered EEG technologist, neurodiagnostic certification
Work EnvironmentHospitals, surgical suites, neuro ICUHospitals, clinics, outpatient labs
Industry UsageNeurosurgery, intraoperative monitoringNeurology, sleep studies, diagnostics

Neural Monitoring specialists focus on intraoperative neurophysiological monitoring during surgeries, requiring specialized certifications. Neurodiagnostic Technologists perform EEGs and other neurodiagnostic tests primarily for diagnostics. While both roles involve neurophysiological skills, Neural Monitoring is more specialized in surgical settings, whereas Neurodiagnostic Technologists work in diagnostic labs and outpatient environments.

How to become a neural monitoring specialist?

To become a neural monitoring specialist, typically one needs a background in neuroscience, biomedical engineering, or a related field, along with experience in neurotechnology and data analysis. Relevant skills include proficiency with neuroimaging tools, programming languages like Python or MATLAB, and understanding of neural signal processing; certifications or advanced degrees can enhance job prospects.

Is intraoperative neural monitoring a good career?

Intraoperative neural monitoring (IONM) is a specialized field within healthcare that involves monitoring neural function during surgeries to prevent nerve damage. It requires technical skills, certification, and collaboration with surgical teams, offering steady employment and growth opportunities in hospitals and surgical centers. The career can be rewarding for those interested in neurophysiology and patient safety, with demand expected to increase as surgical procedures become more complex.
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Neural Monitoring jobs near you
Infographic showing various Neural Monitoring job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $80,500 per year, or $38.7 per hour.

Postdoctoral Associate - Earth Environmental Planetary Sciences

Houston, TX • On-site

Rice University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Rice Universityexternal

$65K/yr

Full-time

Posted 22 days ago

Rice University rating

8.2

Company rating: 8.2 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description


Position Summary
Dr. Ian McBrearty's lab in the Department of Earth, Environmental and Planetary Sciences is looking to hire a Postdoctoral Research Associate in the field of Machine Learning & Geophysics.
The McBrearty Lab sits at the intersection of machine learning and physics, focusing on developing data-driven techniques for earthquake monitoring, processing data from large seismic networks, and developing neural-surrogate emulations of PDEs governing tectonic and volcanic processes.
The ideal candidate will hold a Ph.D. in a quantitative field with strong Python and deep learning skills to build data-driven tools for earthquake detection and geophysical forecasting. They will be responsible for developing graph neural networks (GNNs), advancing PDE emulation methods, publishing high-impact research, and utilizing high-performance computing resources. Review of applications begins September 1, 2026, and will continue until the position is filled. Informal inquiries can be sent to Dr. Ian McBrearty at im76@rice.edu.
Workplace Requirements:
On campus position: This position is exclusively on-site, necessitating all duties to be performed in-person in Houston, Texas. Per Rice policy 440, work arrangements may be subject to change.
*Exempt (salaried) positions under FLSA are not eligible for overtime.
This position is funded by a grant, soft and/or restricted funds. Continued employment is contingent on the renewal of funding.
Proposed Salary: $65,000
Essential Functions
  • Develops and deploys machine learning models (specifically graph neural networks) to process large, spatially irregular seismic datasets and advance neural-surrogate emulations of PDEs governing geophysical processes
  • Documents, analyzes, and maintains research data
  • Publishes and presents research findings
  • Supports project management and collaboration across institutions or disciplines
  • Performs all other duties as assigned

Required Qualifications and Skills
  • Ph.D. in Geophysics, Computer Science, Data Science, Applied Mathematics, or a related quantitative field
  • Strong Python programming skills and practical experience with deep learning frameworks (e.g., PyTorch, TensorFlow) for scientific data analysis
  • Excellent verbal and written communication skills, as well as oral presentation skills
  • Organization and time management skills
  • Knowledge of modern research methods, data collection, and analyses
  • Ability to write scholarly papers based on ongoing research in order to submit them to journals for publication
  • Able to work in a collaborative environment
  • Able to work independently and professionally with minimal supervision and direction

Preferred Qualifications
  • Experience with Graph Neural Networks (GNNs) or physics-informed machine learning (PINNs).
  • Background in seismological software packages (e.g., ObsPy) and large-scale, high-performance computing (HPC) data processing.

Rice University HR | Benefits: https://knowledgecafe.rice.edu/benefits
Rice Mission and Values: Mission and Values | Rice University
Rice University is committed to ensuring Equal Employment Opportunity and welcoming the fullness of diversity into our candidate pools. Rice considers qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability, or protected veteran status. Rice also provides reasonable accommodations to qualified persons with disabilities. If an applicant requires a reasonable accommodation for any part of the application or hiring process, please get in touch with Rice University's Human Resources Office via email at facstaffada@rice.edu for support.
If you have any additional questions, please email us at jobs@rice.edu . Thank you for your interest in employment with Rice University

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