ZipRecruiter

Log In

1

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

next page

Showing results 1-20

All JobsComputational Neuroscience Jobs

Computational Neuroscience information

See salary details

$40

$54

$74

How much do computational neuroscience jobs pay per hour?

As of Jul 9, 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.

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 or a similar discipline. Developing skills in programming, mathematical modeling, and data analysis, along with experience using tools like MATLAB or Python, is essential for research and job opportunities in this field.

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 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.

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, neuroscience department heads, and industry executives tend to have the highest salaries, often exceeding six figures annually. These roles typically require advanced degrees, extensive experience, and leadership skills, with some positions in biotech or pharmaceutical companies offering the highest compensation.

How hard is computational neuroscience?

Computational neuroscience is a challenging field that requires strong skills in mathematics, programming, and neuroscience concepts. It often involves advanced coursework, research, and proficiency with tools like MATLAB or Python, making it suitable for individuals with a solid technical background and problem-solving abilities.

How much do computational biologists get paid?

Computational biologists typically earn a median annual salary of around $80,000 to $100,000, with experienced professionals and those in senior roles earning over $120,000. Salaries vary based on education, experience, location, and the complexity of projects, often requiring skills in programming, data analysis, and biological sciences.
More about Computational Neuroscience jobs
What cities are hiring for Computational Neuroscience jobs? Cities with the most Computational Neuroscience job openings:
What are the most commonly searched types of Computational Neuroscience jobs? The most popular types of Computational Neuroscience jobs are:
What states have the most Computational Neuroscience jobs? States with the most job openings for Computational Neuroscience jobs include:
What job categories do people searching Computational Neuroscience jobs look for? The top searched job categories for Computational Neuroscience jobs are:
Computational Neuroscience jobs near you
Infographic showing various Computational Neuroscience job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 70% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.
Research Scientist - Computational Neuroscience

Research Scientist - Computational Neuroscience

Astera Institute

Emeryville, CA • Remote

$90K - $200K/yr

Full-time

Posted 14 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 Research Scientist in Computational Neuroscience to develop computational models of neural circuits and brain function.

Responsibilities:

  • Read, analyze, and synthesize neuroscience, cognitive science, and computational neuroscience literature.

  • Develop biologically plausible computational models of neural circuits, brain regions, and large-scale brain systems.

  • Compare model predictions with experimental data and refine models accordingly.

  • Develop novel algorithms inspired by biological neural computation.

  • Analyze large-scale neural and behavioral datasets to inform and evaluate computational models.

  • Stay current with advances in neuroscience, machine learning, and computational modeling.

  • Propose and pursue original research directions that advance our understanding of brain computation.

  • Make novel scientific contributions to computational neuroscience through the development of new theories and models.

  • Document research findings and communicate results through technical reports, publications, and presentations.

Qualifications and Experience

  • Experience programming in Python

  • Familiarity with scientific computing libraries such as Jax, Pytorch, NumPy, SciPy, or similar tools

  • Research experience in systems, computational, and theoretical neuroscience.

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

  • Ability to work independently and communicate technical findings clearly

Preferred Qualifications

  • 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

  • Synaptic plasticity and learning

  • Large-scale brain simulations

  • Data-driven modeling of neural systems

  • Interest in wet lab experiments to collect more data or test theories

Education

  • Ph.D. or equivalent demonstrated expertise in Computational Neuroscience, Neuroscience, Computer Science, Physics, Electrical Engineering, Applied Mathematics, or a related discipline.

Location

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

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.

  • Benefits Summary

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.

  • Understand that theories are opinions until they’re adequately validated with data – follow the scientific method rigorously.

Compensation Range: $90K - $200K