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Full Time Neuroscience Ai Jobs (NOW HIRING)

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Strong problem-solving ability and curiosity about neuroscience, AI, or human-machine interfaces ... Potential for full-time conversion after graduation

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Strong problem-solving ability and curiosity about neuroscience, AI, or human-machine interfaces ... Potential for full-time conversion after graduation

Princeton University

Research Specialist I

Princeton, NJ · On-site

$41K - $60K/yr

Overview A full-time research specialist position is available in the Neuroscience of Cognitive ... AI modeling methods.The position provides an excellent opportunity to further develop research ...

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Full Time Neuroscience Ai information

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How much do full time neuroscience ai jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for full time neuroscience ai in the United States is $62.11, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.15 per hour, depending on experience, location, and employer.

What is the difference between Full Time Neuroscience Ai vs Data Scientist in Neuroscience?

AspectFull Time Neuroscience AiData Scientist in Neuroscience
Required CredentialsAdvanced degree in neuroscience, AI, or related fieldsDegree in data science, computer science, or neuroscience
Work EnvironmentResearch labs, biotech companies, AI startupsResearch institutions, healthcare, biotech firms
Employer & Industry UsageFocus on developing AI models for neuroscience applicationsAnalyzing neuroscience data, building predictive models
Common Search & ComparisonYesYes

Full Time Neuroscience Ai specialists focus on developing AI algorithms specifically for neuroscience research and applications, often requiring advanced degrees in neuroscience or AI. Data Scientists in Neuroscience analyze complex neuroscience data to build predictive models, typically with backgrounds in data science or computer science. While both roles involve working with neuroscience data, Neuroscience Ai roles are more research and development-oriented, whereas Data Scientists focus on data analysis and modeling.

How to become an AI neuroscientist?

To become an AI neuroscientist, typically a strong background in neuroscience, computer science, or related fields is required, often through a bachelor's degree followed by a master's or Ph.D. in neuroscience, AI, or machine learning. Developing skills in programming languages like Python, understanding neural data analysis, and gaining experience with AI tools and frameworks are essential. Engaging in research, internships, or specialized training in computational neuroscience enhances qualifications for this interdisciplinary role.

Do neuroscientists work in AI?

Neuroscientists often work in AI by applying their understanding of brain function to develop algorithms, neural networks, and machine learning models. Their expertise in neural processes and cognition helps improve AI systems' ability to learn and adapt, making interdisciplinary collaboration common in AI research and development.

Can AI replace neuroscientists?

Full Time Neuroscience AI roles involve developing and applying artificial intelligence to understand brain functions and neurological data. While AI can assist neuroscientists by analyzing large datasets and automating certain tasks, it is unlikely to fully replace the expertise, critical thinking, and experimental skills of human neuroscientists. These roles require a combination of domain knowledge, programming skills, and collaboration with researchers.

What is the highest paid AI career?

In the field of AI, roles such as AI research directors, machine learning engineers, and AI solutions architects tend to have the highest salaries, often exceeding six figures annually. Specializing in areas like deep learning, natural language processing, or working with advanced tools and large datasets can further increase earning potential.
More about Full Time Neuroscience Ai jobs
What are the most commonly searched types of Neuroscience Ai jobs? The most popular types of Neuroscience Ai jobs are:
What states have the most Full Time Neuroscience Ai jobs? States with the most job openings for Full Time Neuroscience Ai jobs include:
What job categories do people searching Full Time Neuroscience Ai jobs look for? The top searched job categories for Full Time Neuroscience Ai jobs are:
Full Time Neuroscience Ai jobs near you
Infographic showing various Full Time Neuroscience Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $129,183 per year, or $62.1 per hour.

Internship Program

Synaptrix Labs

New York, NY

$18.25 - $23.75/hr

Full-time, Internship

Re-posted 24 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 passionate, creative, and technically driven interns to join our team across multiple disciplines: Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and human experience, we want to hear from you.

Responsibilities:

Depending on your background and interests, you may:

  • Contribute to development of real-time software systems for neural signal processing and data visualization.
  • Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded microcontroller systems.
  • Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal enhancement.
  • Develop intuitive interfaces and user experiences for individuals with mobility or communication impairments.
  • Collaborate with the design team to prototype wearable and ergonomic form factors for next-generation neurotech devices.
  • Support data collection and analysis in research sessions, assisting with experimental setup and instrumentation.
  • Participate in cross-functional design reviews and brainstorming sessions that bring together neuroscience, AI, and engineering.
  • Contribute to internal documentation, test plans, and experimental logs for ongoing R&D projects.

Minimum Qualifications:

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field.
  • Demonstrated experience with one or more of the following:
    • Software: Python, C++, or JavaScript
    • Machine Learning: PyTorch, TensorFlow, or JAX
    • Hardware: Arduino, PCB design, or embedded systems
    • Design: Figma, Fusion 360, SolidWorks, or similar tools
  • Strong problem-solving ability and curiosity about neuroscience, AI, or human-machine interfaces.
  • Excellent communication and teamwork skills; thrives in a fast-paced, interdisciplinary environment.
  • Availability for an internship in New York City.

Preferred Qualifications:

  • Prior experience with EEG/EMG systems, biosignal acquisition, or data analysis.
  • Familiarity with deep learning for time-series or multimodal data.
  • Experience designing assistive devices, wearables, or medical technology.
  • Portfolio, GitHub, or research projects demonstrating creative technical work.
  • Interest in startups, prototyping, and early-stage innovation.

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.
As an intern, you'll work directly alongside engineers, researchers, and designers who are defining the next generation of brain-computer interfaces. You'll be encouraged to explore bold ideas, experiment freely, and take ownership of meaningful projects from day one.

What We Offer:

  • Hands-on experience in one of the world's most exciting emerging fields: brain-computer interfaces
  • Opportunity to contribute to technology that directly improves lives
  • Mentorship from scientists, engineers, and founders building real neurotechnology products
  • Dynamic NYC workspace blending lab, workshop, and creative studio environments
  • Potential for full-time conversion after graduation