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Computational Neuroscience Jobs (NOW HIRING)

Koniku Inc.

Computational Neuroscientists

Berkeley, CA · On-site

$140 - $190/hr

A PhD in computational neuroscience or neuroinformatics with a highly regarded research group or PI and a strong publication record is mandatory. Qualifications * Deep and demonstrable experience ...

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Koniku

Lead Computational Neuroscientist

San Rafael, CA · On-site

Required : • A PhD in computational neuroscience or neuroinformatics with a regarded research group or PI and a strong publication record is mandatory. • Deep and demonstrable experience with the ...

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How much do computational neuroscience jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for computational neuroscience 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.

What is computational neuroscience?

Computational neuroscience involves studying brain function through computer modeling and mathematical analysis. Computational neuroscientists perform research in which they collect data and create computer models based on the electrical patterns and biological functions of the brain. Researchers in this field may focus on making connections between brain functions and cognition, sensory experience, or the behavior of the central nervous system. They may use computer models and data to create theoretical models. Other scientists may test the models to see if they have biological or psychological applications.

What is computational neuroscience?

Computational neuroscience is an interdisciplinary field that uses mathematical models, computer simulations, and theoretical analysis to understand how the brain processes information. Researchers in this field aim to explain neural phenomena by modeling the functions of neurons, neural circuits, and overall brain systems. By combining principles from neuroscience, computer science, physics, and mathematics, computational neuroscience helps bridge the gap between biological data and theoretical understanding, ultimately advancing our knowledge of brain function and cognition.

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 strong background in neuroscience, mathematics, and computer science, often supported by an advanced degree (PhD or MSc) in a related field. Proficiency with programming languages (such as Python or MATLAB), computational modeling software, and data analysis tools is typically required. Critical thinking, problem-solving, and effective collaboration are standout soft skills in this interdisciplinary field. These skills and qualities enable the development and interpretation of complex brain models, driving scientific discovery and innovation in neuroscience.

What are some common challenges faced by professionals in computational neuroscience, and how can they be addressed?

Professionals in computational neuroscience often encounter challenges such as integrating diverse data types (e.g., electrophysiological, imaging, and behavioral data) and keeping up with rapidly evolving computational tools and methods. Collaborating closely with experimental neuroscientists and computer scientists is essential to bridge knowledge gaps and ensure robust model development. Continuous learning through workshops, conferences, and online courses can help professionals stay current with new techniques and best practices in the field.

What is the difference between Computational Neuroscience vs Neuroscientist?

AspectComputational NeuroscienceNeuroscientist
Required CredentialsAdvanced degrees in neuroscience, computer science, or related fieldsTypically PhD in neuroscience or related disciplines
Work EnvironmentResearch labs, universities, tech companies focusing on modeling and data analysisResearch institutions, hospitals, universities studying brain function
Industry UsageDevelops models, algorithms, and simulations of neural systemsInvestigates brain mechanisms, conducts experiments, publishes research

Computational Neuroscience focuses on creating models and simulations of neural systems using computational methods, while Neuroscientists primarily conduct experimental research to understand brain function. Both roles often collaborate but differ in their approach and tools used.

How do you become a computational neuroscientist?

To become a computational neuroscientist, one typically earns a bachelor's degree in neuroscience, computer science, or a related field, followed by a master's or Ph.D. in computational neuroscience, neuroscience, or a quantitative discipline. Developing skills in programming, data analysis, and mathematical modeling, along with experience using tools like MATLAB or Python, is essential for research and analysis in this field.

What does computational neuroscience do?

Computational neuroscience is a field where professionals develop mathematical models and computer simulations to understand how the brain processes information, learns, and adapts. They often use programming skills and neurobiological data to analyze neural systems and contribute to advancements in neuroscience research and brain-inspired technologies.
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Computational Neuroscience jobs near you
Infographic showing various Computational Neuroscience job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 53% Full Time, 45% Part Time, and 1% Contract. Highlights an 49% Physical, 2% Hybrid, and 49% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Computational Neuroscientists

Koniku Inc.

Berkeley, CA • On-site

$140 - $190/hr

Other

Posted 2 days ago

New

Job description

Job Summary

A talented scientist to lead the development of next generation koniku kores. This leadership role is guided by the question: 'How do we realistically shift more work to existing neural circuits, ready to ship in a few weeks?'. You will develop creative, small neural circuits in silico which can be realistically verified by our proprietary wetware platform - koniku kore. You will also develop safe stimulation, encoding and decoding protocols for neurons in vitro.


The ideal candidate is a sharply pragmatic individual, grounded in experimental data with a strong publication record. We are seeking an energetic and articulate person with a bold vision. You will expected to contribute to building a community around your tools, build and maintain collaborations with Academia.


A PhD in computational neuroscience or neuroinformatics with a highly regarded research group or PI and a strong publication record is mandatory.


Qualifications

  • Deep and demonstrable experience with the neuron simulation environment or similar.

  • Previous hands on experimental work in vivo and/or in vitro neurophysiology is a solid asset.

  • Excellent programming skills in Python, Matlab, Statistical Analysis & Related Packages and other open tools in neuro simulations.


Detailed Job Description

  • Propose new circuits to engineering team.

  • Developing coding mechanisms from sensors to the kore.

  • Design stimulation sequences for neural circuits or neural populations in the kore.

  • Develop tools for the user community. Guide talented neurogrammers within our outreach program and keep links with academia vibrant.

  • Advice or hire talent to expand on the team as required.


Requirements

  • To conform to ITAR regulations, applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

  • Equal Opportunity Employer; We hire for individual competence, retain on results, advance for excellence - no exceptions.

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