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Computational Neuroscience Jobs (NOW HIRING)

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 Sep 11, 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 September 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Assistant Professor of Neuroscience & Behavior

New York, NY

Barnard
Construction • 201 - 500 employees
Learn more about Barnardexternal

$95K - $115K/yr

Full-time

Posted 5 days ago

Job description

If you are a current Barnard College employee, please use the internal career site to apply for this position.

Job:

Assistant Professor of Neuroscience & BehaviorThe Department of Neuroscience and Behavior at Barnard College, Columbia University invites applications for a full-time, tenure-track Assistant Professor position, beginning July 2027. The successful candidate will establish an innovative, externally funded research program in neuroscience. We are especially interested in candidates whose research advances our understanding of the mechanisms underlying learning and memory across levels of analysis. Areas of interest include, but are not limited to, the cellular, molecular, systems, or behavioral mechanisms of learning, memory encoding, consolidation, retrieval, developmental or lifespan changes in learning and memory, or neurological or psychiatric disorders. Candidates employing computational, behavioral, systems, cellular, molecular, or other integrative approaches are encouraged to apply.

Job Description:

Barnard is a premier liberal arts undergraduate college for women in New York City affiliated with Columbia University.

Barnard faculty are members of the vibrant Columbia University neuroscience community. They have extensive opportunities for collaboration across the university and New York City, including at the Zuckerman Institute, Columbia University Irving Medical Center, and the New York State Psychiatric Institute. The Neuroscience and Behavior Department occupies a new state-of-the-art research facility.

Teaching responsibilities include four courses per year. The successful candidate will contribute to the Neuroscience and Behavior curriculum and will have the opportunity to develop courses aligned with their expertise, including learning and memory, behavioral neuroscience, systems neuroscience, cognitive neuroscience, computational neuroscience, or related fields. We are especially interested in candidates with a demonstrated commitment to excellence in undergraduate teaching and mentoring and with experience or strong potential for engaging undergraduate researchers from diverse backgrounds.

Salary: $95,000 - $115,000
Review of applications will begin on approximately November 15, 2026 and may continue until the position is filled. The search committee plans to conduct Zoom interviews with semi-finalists around mid to late November 2026. Campus visits will be conducted around December 2026. For questions, contact neurosearch@barnard.edu.

Skills, Qualifications & Requirements:

Required Qualifications

A Ph.D. and postdoctoral experience are required; teaching experience is desirable and will be considered in the evaluation of candidates.

Application Requirements

Only complete applications submitted via Workday will be considered.

Applicants are required to upload the following documents:

  • Curriculum Vitae (maximum file size: 5 MB)

A single PDF file (maximum file size: 30 MB) containing:

  • Cover letter summarizing interest in and preparation for this particular position

  • Teaching and mentoring statement that also addresses ability to work effectively with a student population that is broadly diverse

  • Statement of research and scholarship interests

  • Two representative publications

Only semi-finalists will be asked to identify at least three references. Referees will receive an email notification instructing them to upload confidential letters of recommendation within one week of receipt of the email.


Barnard College is an Equal Opportunity Employer. Barnard does not discriminate due to race, color, creed, religion, sex, sexual orientation, gender and/or gender identity or expression, marital or parental status, national origin, ethnicity, citizenship status, veteran or military status, age, disability. Qualified candidates of diverse backgrounds are encouraged to apply for vacant positions at all levels.

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the College's good faith and reasonable estimateof the range of possible compensation at the time of posting.

Company:

Barnard College

Time Type:

Full time

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