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Computational Neuroscientist Jobs (NOW HIRING)

Alljoined

Computational Neuroscientist

San Francisco, CA · On-site

$120K - $160K/yr

About the Role As a Computational Neuroscientist , you will play a pivotal role in advancing our research. Using computational and neuroimaging techniques, you will design and iterate on stimulus ...

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How much do computational neuroscientist jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for computational neuroscientist in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

Is Computational Neuroscience a growing field?

Computational Neuroscience is a rapidly expanding field driven by advances in neuroimaging, machine learning, and data analysis techniques. The demand for computational neuroscientists is increasing as research integrates more complex models of brain function and develops new applications in medicine and artificial intelligence.

What types of interdisciplinary collaboration can I expect as a Computational Neuroscientist?

As a Computational Neuroscientist, you’ll frequently collaborate with experimental neuroscientists, data analysts, clinicians, and software engineers. This interdisciplinary teamwork is vital for integrating computational models with experimental data to advance understanding of brain function. You may participate in joint lab meetings, contribute to multi-author publications, and work on cross-functional research projects, which can broaden your expertise and open up further career opportunities in both academia and industry.

What can I do with a Computational Neuroscience degree?

A computational neuroscientist can work in academia, research institutions, or industry, applying skills in data analysis, modeling neural systems, and developing algorithms. Common roles include research scientist, data analyst, machine learning engineer, or neuroinformatics specialist, often requiring programming skills in Python, MATLAB, or R. Opportunities exist in healthcare, biotech, and technology sectors focused on brain research, neural engineering, and artificial intelligence development.

What are the key skills and qualifications needed to thrive as a Computational Neuroscientist, and why are they important?

To thrive as a Computational Neuroscientist, you need a solid background in neuroscience, mathematics, and computer science, often supported by a PhD in a related field. Proficiency with programming languages (such as Python or MATLAB), data analysis tools, and neural simulation software is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills are critical for collaborating in multidisciplinary teams and conveying complex findings. These skills enable the development and interpretation of computational models, driving advances in understanding brain function and neurological disorders.

What is a computational neuroscientist?

A computational neuroscientist is a researcher who uses mathematical models, computer simulations, and data analysis to understand how the brain processes information. They often work with neural data, develop algorithms, and utilize programming tools like MATLAB or Python to study neural systems and cognitive functions. This role typically requires a strong background in neuroscience, mathematics, and computer science.

Who are the most famous computational neuroscientists?

Famous computational neuroscientists include David Marr, known for work on visual processing; Christof Koch, recognized for research on consciousness; and Terry Sejnowski, a pioneer in neural network modeling. These scientists have significantly contributed to understanding brain function through mathematical models and simulations, often using tools like MATLAB and Python.

What is the difference between Computational Neuroscientist vs Cognitive Scientist?

AspectComputational NeuroscientistCognitive Scientist
Required CredentialsPhD in neuroscience, psychology, or related fields; strong programming skillsPhD or master's in psychology, cognitive science, neuroscience; interdisciplinary background
Work EnvironmentResearch labs, universities, biotech companiesAcademic institutions, research centers, tech companies
Industry UsageNeuroscience research, brain modeling, neural data analysisHuman cognition, perception, language, decision-making studies

While both roles involve understanding brain functions, Computational Neuroscientists focus on modeling neural systems and analyzing neural data, often using computational methods. Cognitive Scientists study mental processes like perception and decision-making, integrating insights from psychology, neuroscience, and computer science. The roles overlap in research but differ in their primary focus and methods.

What are computational neuroscientists?

Computational neuroscientists are researchers who use mathematical models, computer simulations, and analytical approaches to understand how the brain processes information. They study neural systems at various levels, from single neurons to complex brain networks, to uncover the principles of brain function. This interdisciplinary field combines neuroscience, computer science, physics, and mathematics to analyze experimental data and develop theories about brain activity and cognition.
More about Computational Neuroscientist jobs
What cities are hiring for Computational Neuroscientist jobs? Cities with the most Computational Neuroscientist job openings:
What states have the most Computational Neuroscientist jobs? States with the most job openings for Computational Neuroscientist jobs include:
What job categories do people searching Computational Neuroscientist jobs look for? The top searched job categories for Computational Neuroscientist jobs are:
Computational Neuroscientist jobs near you
Infographic showing various Computational Neuroscientist job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Temporary, and 1% Contract. Highlights an 7% Physical, and 93% Hybrid job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Computational Neuroscientist

Alljoined

San Francisco, CA • On-site

$120K - $160K/yr

Full-time

Medical, Retirement

Posted 10 days ago

Job description

About Alljoined
Alljoined is creating a future where humans are fully understood and augmented by technology. Our work solves the communication bottleneck between humans and computers by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets to decode multimedia input, eventually moving to internal thought. We are state-of-the art in capabilities and are fully vertically integrated. Our goal is to develop a general consumer interface to completely transform how we can live our lives.
We are actively growing our world-class team of researchers to build the next interface to improve individual lives as well as the well-being of society as a whole.
About the Role
As a Computational Neuroscientist, you will play a pivotal role in advancing our research. Using computational and neuroimaging techniques, you will design and iterate on stimulus paradigms at scale in collaboration with our research team, and perform comprehensive analyses on collected date to uncover insights into various paradigms and architectures. You will work with a team of hands-on research coordinators who will handle much of the collection work to get data at scale, and collaborate with other engineers and researchers, to design experiments to optimize next-generation neural decoding approaches.
About You
  • PhD/postdoc in neuroscience or a related field.
  • Extensive experience in designing and executing neuroscience studies, including the analysis of functional brain imaging data (EEG, fMRI).
  • Proficiency in Python (MNE, Numpy, PyschoPy) and associated machine learning frameworks (PyTorch, Sci-Py, Scikit-Learn).
  • Extensive experience using advanced computational, statistical, and modeling skills to analyze and interpret neuroimaging data.
  • A strong grasp of psychophysics and human behavior.
  • Demonstrated ability to conduct independent research and collaborate in an interdisciplinary setting.

Compensation Range
$140,000 - $180,000+ /year
While this represents our expected range based on market data, final compensation will be determined based on your specific skills and experience and may be outside this range.
Benefits
  • Competitive equity compensation at a seed stage startup
  • Options for housing support
  • Visa sponsorship
  • 3% 401k matching
  • Health insurance

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