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Computational Neuroscience Jobs (NOW HIRING)

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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 ... PhD/postdoc in neuroscience or a related field. * Extensive experience in designing and executing ...

Brown University

Research Assistant

Sidney, OH

$18 - $24.50/hr

The secondary duties will entail providing technical support for the lab's research in human electrophysiology and computational neuroscience. Research related duties include assisting with the ...

Brown University

Research Assistant

Providence, RI · On-site

$19.50 - $26.75/hr

The secondary duties will entail providing technical support for the lab's research in human electrophysiology and computational neuroscience. Research related duties include assisting with the ...

UNC-Chapel Hill

Open Rank

Chapel Hill, NC

Preferred Qualifications, Competencies, and Experience 1. PhD or MD/PhD in neuroscience, computational neuroscience, bioengineering, structural biology, or a related quantitative discipline. 2. ...

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How much do computational neuroscience jobs pay per hour?

As of Jun 19, 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 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.

Do computational biologists get paid well?

Computational biologists, including those working in neuroscience, typically earn competitive salaries that reflect their specialized skills in data analysis, programming, and modeling. Salaries vary based on experience, education, and location, but generally align with other scientific research roles and can increase with advanced expertise and industry experience.

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.

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.

Does Computational Neuroscience pay well?

Computational Neuroscience is a specialized field that often offers competitive salaries, especially for those with advanced degrees and strong programming skills in tools like Python or MATLAB. Salaries can vary based on experience, location, and industry, with roles in academia, research institutions, and industry typically providing higher compensation for those with expertise in data analysis and modeling.

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 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 highest paying job in neuroscience?

In neuroscience, senior research directors, principal investigators, and industry executives often have the highest salaries, especially those leading large research teams or working in biotech and pharmaceutical companies. These roles typically require advanced degrees, extensive experience, and strong leadership skills, with salaries often exceeding $150,000 annually.

Do you need a PhD for Computational Neuroscience?

A PhD is often required for advanced roles in computational neuroscience, especially those involving independent research, teaching, or leadership in academia. However, entry-level or industry positions may only require a master's degree or relevant experience in programming, neuroscience, or data analysis. The specific educational requirements depend on the employer and the complexity of the role.
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Computational Neuroscience jobs near you
Infographic showing various Computational Neuroscience job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.
Computational Neuroscience Intern - Data Analysis and Modeling

Computational Neuroscience Intern - Data Analysis and Modeling

Astera Institute

Emeryville, CA • Remote

$25 - $60/hr

Full-time

Posted 6 days ago

Job description

About Astera

Astera is a private foundation on a mission to steer science and technology toward an abundant future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to dramatically accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive scientific progress.

Unlike traditional non-profit research organizations, projects supported by Astera operate like high-velocity startups, allowing us to focus on ambitious goals, match structure to problem, and attract strong technical talent and leadership. You can read more about our mission, vision, and programming here.

Position Summary

Astera Institute is seeking a Computational Neuroscience Intern to help analyze large-scale connectome and neurophysiology datasets and develop computational models of neural circuits and brain function. This role is ideal for students or early-career researchers interested in combining neuroscience, data analysis, and scientific computing.

Responsibilities

  • Process and analyze neurophysiology data such as electrophysiology, calcium imaging, or spike train recordings

  • Analyze connectomics datasets, including neuronal connectivity graphs and anatomical reconstructions

  • Develop computational models of neural circuits and network dynamics

  • Implement data analysis pipelines and visualization tools

  • Collaborate with researchers to interpret experimental data and generate hypotheses

  • Contribute to documentation, reproducible workflows, and scientific reports

Qualifications and Experience

  • Experience programming in Python and Matlab

  • Familiarity with scientific computing libraries such as NumPy, SciPy, pandas, PyTorch, TensorFlow, or similar tools

  • Basic understanding of neuroscience concepts, neural systems, or computational modeling

  • Experience working with data analysis, statistics, or machine learning workflows

  • Ability to work independently and communicate technical findings clearly

Preferred Qualifications

  • Experience with connectomics or neurophysiology datasets

  • Knowledge of computational neuroscience frameworks or simulators (e.g., NEST, Brian, NEURON)

  • Experience with machine learning or dynamical systems modeling

  • C++ programming experience is a strong bonus

  • Familiarity with Linux, Git, and high-performance computing environments

Nice to Have Areas of Interest

  • Neural circuit modeling

  • Vision neuroscience

  • Synaptic plasticity and learning

  • Large-scale brain simulations

  • Data-driven modeling of neural systems

Education

  • Pursuing or recently completed a degree in Computational Neuroscience, Neuroscience, Computer Science, Physics, Electrical Engineering, Applied Mathematics, or a related field

Location

This position is hybrid at our office in Emeryville, CA. Some travel may occasionally be required for collaboration and team events.

Applicants must be currently authorized to work in the United States without the need for employer sponsorship, now or in the future.

Compensation

The posted wage range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location.

Cultural Alignment

  • Surprising problem-solver – you love finding unexpected solutions to problems we don't even know we have, and see options where others only see constraints.

  • Flexible by default – you don't draw hard lines around your job description and expect your role to evolve significantly over 6–12 months.

  • Bias to action – you launch and iterate on thoughtful experiments rather than waiting for perfect plans, and you're energized by novel problems.

  • High standards, internally driven – you believe you can build the world's best vehicle for unleashing extraordinary individuals to create public goods, and you hold yourself to that bar without benchmarking against others.

  • Open to feedback – You create opportunities to give and receive honest feedback, staying focused on both personal and team growth, and committing to transparency even when it’s uncomfortable.

  • Operate with the highest levels of integrity, judgment, and stewardship -- you treat residents, peers, and vendors with genuine respect for their time and contributions.

  • Embrace the tools that define great work today – Astera is building for an AI-driven future and equips the team accordingly. We see these as genuine force multipliers, not optional extras, and we expect our people to use them.

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