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Entry Level Artificial Intelligence Neuroscience Jobs

Neuroscience Tutor

Washington, DC ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

New Haven, CT ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Conway, AR ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

TN ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Champaign, IL ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Richmond, VA ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Rexburg, ID ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Fort Smith, AR ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Ann Arbor, MI ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Wichita, KS ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

IN ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Fort Pierce, FL ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Stamford, CT ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

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Entry Level Artificial Intelligence Neuroscience information

What types of projects or tasks can an entry level artificial intelligence neuroscience professional expect?

In an entry level Artificial Intelligence Neuroscience position, you can expect to support research teams by preparing and analyzing brain imaging datasets, developing and testing machine learning models, and assisting with literature reviews. You may also be involved in data preprocessing, writing code for experiments, or contributing to collaborative publications. These roles often emphasize teamwork, mentorship from senior scientists, and the opportunity to develop technical and analytical skills while working at the intersection of AI and neuroscience.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence neuroscience professional?

To thrive as an Entry Level Artificial Intelligence Neuroscience professional, you need a solid background in neuroscience fundamentals, statistics, and programming (such as Python), often supported by a relevant degree in neuroscience, computer science, or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), data analysis tools, and possibly certifications in AI or data science is highly valued. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly are crucial soft skills for this interdisciplinary role. These competencies enable accurate analysis, innovative research, and effective collaboration in the rapidly evolving intersection of AI and neuroscience.

What is the difference between Entry Level Artificial Intelligence Neuroscience vs Entry Level Data Scientist?

AspectEntry Level Artificial Intelligence NeuroscienceEntry Level Data Scientist
Required CredentialsBachelor's in Neuroscience, Computer Science, or related fields; knowledge of AI and neuroscienceBachelor's in Computer Science, Statistics, or related fields; programming skills
Work EnvironmentResearch labs, tech companies, healthcare institutionsTech firms, finance, healthcare, consulting
Industry UsageAI development with neuroscience applications, brain-computer interfacesData analysis, predictive modeling, business insights

Entry Level Artificial Intelligence Neuroscience focuses on applying AI techniques to understand neural systems, often requiring knowledge of neuroscience and AI. Entry Level Data Scientist emphasizes analyzing data to inform business decisions, with a broader focus on statistical and programming skills. Both roles are entry-level but serve different industry needs and skill sets.

What is an entry level artificial intelligence neuroscience job?

Entry level artificial intelligence neuroscience jobs typically involve assisting with research and development at the intersection of neuroscience and AI. These roles may include data analysis, supporting experiments, building machine learning models to analyze neural data, and contributing to software or algorithm development. Candidates often work under the supervision of senior scientists or engineers and gain exposure to both neuroscience concepts and artificial intelligence techniques. A bachelor's or master's degree in neuroscience, computer science, engineering, or a related field is usually required.
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What cities are hiring for Entry Level Artificial Intelligence Neuroscience jobs? Cities with the most Entry Level Artificial Intelligence Neuroscience job openings:
What are the most commonly searched types of Artificial Intelligence Neuroscience jobs? The most popular types of Artificial Intelligence Neuroscience jobs are:
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What job categories do people searching Entry Level Artificial Intelligence Neuroscience jobs look for? The top searched job categories for Entry Level Artificial Intelligence Neuroscience jobs are:
Infographic showing various Entry Level Artificial Intelligence Neuroscience job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Research Scientist, Artificial Intelligence (PhD)

Synaptrix Labs

New York, NY โ€ข On-site

$85K - $150K/yr

Full-time

PTO

Re-posted 8 hours 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