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Artificial Intelligence Neurology Jobs (NOW HIRING)

Dulyhealthandcare

Neurologist

Quincy, IL · On-site

$350K - $425K/yr

Team of 3 Neurologists, 1 APP, and support staff * Strong internal referral network * Physician ... Illinois licensed or eligible Artificial Intelligence Disclosure Artificial Intelligence (AI) tools ...

HSHS

Physician- Neurology

O Fallon, IL · On-site

Neurology Opportunity in O'Fallon, Illinois HSHS Medical Group is recruiting a BE/BC Neurology to ... Notice Regarding Potential Use of Artificial Intelligence in the Hiring Process Hospital Sisters ...

hshs

Physician- Neurology

O Fallon, IL · On-site

Neurology Opportunity in O'Fallon, Illinois HSHS Medical Group is recruiting a BE/BC Neurology to ... Notice Regarding Potential Use of Artificial Intelligence in the Hiring Process Hospital Sisters ...

HSHS

Physician- Neurology

Decatur, IL · On-site

HSHS Medical Group Neurology Position HSHS Medical Group is recruiting a BE/BC Neurology to join ... Notice Regarding Potential Use of Artificial Intelligence in the Hiring Process Hospital Sisters ...

Myana

Physician- Neurology

O Fallon, IL · On-site

$370.67 - $441.67/hr

Emily.Lauf@hshs.org HSHS Medical Group is recruiting a BE/BC Neurology to join our growing ... Notice Regarding Potential Use of Artificial Intelligence in the Hiring Process Hospital Sisters ...

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Artificial Intelligence Neurology information

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$83.5K

$347.7K

$400K

How much do artificial intelligence neurology jobs pay per year?

As of Aug 23, 2026, the average yearly pay for artificial intelligence neurology in the United States is $347,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $320,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What is artificial intelligence neurology?

Artificial Intelligence Neurology is a specialized field that combines neurology—the study and treatment of disorders affecting the nervous system—with artificial intelligence technologies. AI in neurology involves using advanced algorithms and machine learning to assist in diagnosing neurological conditions, analyzing brain imaging, predicting disease progression, and personalizing treatment plans. This integration can improve accuracy, speed, and outcomes in neurological care, making it a rapidly growing and impactful area of medicine.

How do artificial intelligence neurology specialists collaborate with clinicians and data scientists to advance patient care?

In Artificial Intelligence Neurology, collaboration between AI specialists, neurologists, and data scientists is essential to develop and implement innovative diagnostic and treatment tools. Professionals in this field often work in interdisciplinary teams, participating in regular meetings to review clinical data, refine machine learning models, and ensure that AI solutions are clinically relevant and ethically sound. Effective communication and a shared understanding of both medical and technical concepts are key, as team members must translate complex neurological needs into actionable AI projects. This collaborative approach not only accelerates research but also helps in integrating AI-driven insights into day-to-day clinical practice, ultimately improving patient outcomes.

What are the key skills and qualifications needed to thrive as an artificial intelligence neurology specialist?

To thrive as an Artificial Intelligence Neurology specialist, you need a strong background in neurology, machine learning, and data analysis, often supported by an advanced degree in neuroscience, computer science, or a related field. Familiarity with programming languages (such as Python), neural network frameworks (like TensorFlow or PyTorch), and medical imaging systems is essential. Exceptional problem-solving skills, interdisciplinary communication, and adaptability help professionals collaborate effectively with clinicians and data scientists. These skills are crucial for developing accurate AI-driven neurological tools and ensuring their safe, ethical application in patient care.

What is the difference between Artificial Intelligence Neurology vs Data Scientist?

AspectArtificial Intelligence NeurologyData Scientist
Required CredentialsAdvanced degrees in neurology, AI, or related fields; specialized certifications in AI and neuroscienceDegree in computer science, statistics, or related fields; certifications in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, AI development firms focusing on neurological dataTech companies, finance, healthcare, research institutions analyzing large datasets
Employer & Industry UsageHealthcare, neuroscience research, AI development for neurological applicationsTechnology, finance, healthcare, marketing, and research sectors

Artificial Intelligence Neurology focuses on applying AI techniques to neurological data and research, often requiring specialized medical and AI knowledge. Data Scientists analyze large datasets across various industries, including healthcare, but do not necessarily specialize in neurology. While both roles involve data analysis and AI, Artificial Intelligence Neurology is more specialized in neurological applications and medical research.

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Cities with the most Artificial Intelligence Neurology job openings:

What states have the most Artificial Intelligence Neurology jobs?

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Artificial Intelligence Neurology jobs near you
Infographic showing various Artificial Intelligence Neurology job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 88% In-person, 3% Hybrid, and 9% Remote job distribution, with an average salary of $347,715 per year, or $167.2 per hour.

Research Scientist, Artificial Intelligence (PhD)

Synaptrix Labs

New York, NY • On-site

$85K - $150K/yr

Full-time

PTO

Re-posted 20 days ago

Job description

About Synaptrix Labs Inc.
Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience.
We're seeking a full time Research Scientist, Artificial Intelligence (PhD) to join our growing team of researchers & engineers. If you're passionate about shaping the future of brain-computer interfaces and excited by the potential of deep learning in neurotechnology, we want to hear from you!
Responsibilities:
  • Design, prototype, and optimize state-of-the-art AI systems for neural decoding, including diffusion models, graph neural networks, contrastive/self-supervised frameworks, and transformer-based sequence models.
  • Conduct foundational research on neural time-series representation learning: build architectures that extract latent dynamics from EEG, EMG, or related biosignals.
  • Develop high-fidelity simulation environments for testing decoding algorithms, incorporating stochastic signal noise and realistic biophysical constraints.
  • Scale model training across multi-GPU and multi-node clusters using PyTorch Distributed, DeepSpeed, or JAX/Flax; profile and tune system performance for sub-10 ms inference latency.
  • Build and maintain end-to-end research pipelines for large-scale signal datasets, including preprocessing, artifact rejection, and multimodal fusion with video, audio, and IMU data.
  • Collaborate with neuroscientists and hardware engineers to integrate learned models into real-time BCI control loops and embedded systems.
  • Contribute to core ML infrastructure: experiment tracking, model versioning, dataset lineage, and reproducibility standards.
  • Publish at top-tier ML or neurotech venues (NeurIPS, ICLR, Nature Neuro, EMBC) and present findings to the research community.

Minimum Qualifications:
  • PhD or equivalent deep technical expertise in Machine Learning, Artificial Intelligence, Computer Science, Computational Neuroscience, or related fields.
  • Strong command of PyTorch or JAX, with experience implementing custom training loops, loss functions, and model architectures.
  • Proven ability to conduct end-to-end research, from conceptual design to reproducible experiments and evaluation.
  • Strong mathematical foundations in linear algebra, probability, optimization, and information theory.
  • Experience working with high-dimensional time-series or sensory data (EEG, speech, video, motion capture, etc.).
  • Skilled in Python, NumPy, Pandas, and scientific computing workflows; experience with CUDA or low-level GPU debugging is highly valued.
  • Demonstrated ability to operate independently on open-ended problems and drive original research with limited supervision.

Preferred Qualifications:
  • Deep familiarity with neural signal modeling, neural decoding, or biosignal preprocessing (EEG/MEG/ECoG/EMG).
  • Experience designing self-supervised or generative models (diffusion, VAEs, contrastive, masked modeling) for noisy, non-stationary data.
  • Background in reinforcement learning, optimal control, or human-in-the-loop systems, especially in continuous domains.
  • Publications or preprints in top venues (NeurIPS, ICML, ICLR, CVPR, EMBC, Nature Neuro).
  • Familiarity with distributed training, mixed-precision, multi-GPU orchestration, and cloud ML infrastructure (AWS/GCP/Azure).
  • Contributions to open-source ML frameworks or custom CUDA kernels.
  • Understanding of neural signal acquisition hardware, embedded inference, or edge ML deployment.
  • Track record of curiosity-driven, independent research resulting in practical systems or open-source codebases.

About our Culture:
At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation.
Expected Compensation:
The base salary for this role is anticipated to fall within the following range. Actual compensation will depend on your experience, technical expertise, and relevant education or training. In addition to base pay, Synaptrix offers equity to all full-time employees, reflecting our commitment to shared success and long-term company growth.
Base Salary Range:
$85,000 - $150,000 USD
What We Offer:
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Paid holidays, unlimited PTO

Apply