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Computational Neuroscientist Jobs in Virginia (NOW HIRING)

The labs are jointly pursuing projects probing the intersection of metabolism and computational neuroscience. We are seeking to integrate metabolic signals with canonical computational frameworks to ...

Research Assistant

Blacksburg, VA · On-site

$17 - $23.25/hr

The goal of our lab is to develop a computational framework for understanding the cognitive ... training in neuroscience biology, psychology, or a related field Experience working in a ...

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Computational Neuroscientist information

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$40

$54

$73

How much do computational neuroscientist jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for computational neuroscientist in Virginia is $54.46, according to ZipRecruiter salary data. Most workers in this role earn between $46.49 and $72.93 per hour, depending on experience, location, and employer.

What is a computational neuroscientist?

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.

What are the key skills and qualifications needed to thrive as a computational neuroscientist?

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 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 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.

How to get into computational neuroscience?

To become a computational neuroscientist, typically a strong background in neuroscience, computer science, mathematics, or physics is required, often obtained through a relevant bachelor's degree followed by a master's or Ph.D. in a related field. Developing skills in programming languages such as Python or MATLAB and understanding neural data analysis are essential. Gaining research experience through internships or projects and staying current with scientific literature also help advance in this field.

What is the future of computational neuroscience?

The future of computational neuroscience involves integrating advanced modeling techniques, machine learning, and high-resolution neural data to better understand brain function and disorders. Computational neuroscientists will continue developing algorithms and simulations to analyze complex neural systems, often using programming languages like Python and tools such as neural networks and data analysis software. This field is expected to grow as interdisciplinary collaboration and technological innovations expand research capabilities and applications in medicine and artificial intelligence.

What jobs can you get with computational neuroscience?

Computational neuroscientists can work in academia, research institutions, healthcare, and technology companies, focusing on modeling brain function, developing neural algorithms, or analyzing neural data. Common roles include research scientist, data analyst, machine learning engineer, and neuroinformatics specialist, often requiring programming skills in Python or MATLAB and knowledge of neuroscience principles.
Infographic showing various Computational Neuroscientist job openings in Virginia as of August 2026, with employment types broken down into 44% Internship, and 56% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $113,270 per year, or $54.5 per hour.

Postdoctoral Associate (Puxeddu Lab)

Virginia Polytechnic Institute and State University

Blacksburg, VA • On-site

Full-time

Re-posted 17 days ago


Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

234th of 627 rated colleges and universities


Job description

Postdoctoral Associate (Puxeddu Lab)
Job no: 536162
Work type: Research Faculty
Senior management: College of Science
Department: School of Neuroscience
Location: Blacksburg, Virginia
Categories: Research / Scientific
Job Description
The postdoctoral researcher will conduct independent and collaborative research on projects involving brain network analysis, including investigations on the Drosophila connectome and/or development of computational and methodological tools for network neuroscience. The candidate is expected to contribute to publications, collaborate with other lab members and external collaborators.
Required Qualifications
• PhD in neuroscience, physics, computer science, applied mathematics, biomedical
engineering, or a related quantitative field. PhD awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
• Experience in computational data analysis and scientific programming (e.g., Python,
MATLAB, or similar).
• Demonstrated research productivity through peer-reviewed publications or preprints.
• Ability to work both independently and collaboratively.
Preferred Qualifications
• Experience in network science or network neuroscience.
• Experience analyzing neural connectivity or large biological datasets.
• Background in connectomics, computational neuroscience, or complex systems.
• Experience developing computational tools or analysis pipelines.
• Interest or experience in co-mentoring students.
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Restricted
Salary Information
Commensurate with experience
Hours per week
40 hours - exempt position
Review Date
5/1/2026
Additional Information
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Natalie Langowsky at nlangow3@vt.edu during regular business hours at least 10 business days prior to the event.
Advertised: April 16, 2026
Applications close:
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About Virginia Tech

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Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Blacksburg, VA, US

Year founded

1872

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