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

People also search for

All JobsComputational Neuroscience Jobs

Computational Neuroscience information

See salary details

$40

$54

$74

How much do computational neuroscience jobs pay per hour?

As of May 30, 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 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.

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 May 2026, with employment types broken down into 1% Internship, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.
Postdoctoral Associate - Computational Neuroscience

Postdoctoral Associate - Computational Neuroscience

Baylor College of Medicine

Houston, TX

Full-time

Posted 3 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

49th of 529 rated colleges and universities

Job description

Summary

The Postdoctoral Associate will contribute to translational human neuroscience studies focused on intracranial electrophysiology, affective neuroscience, and adaptive neuromodulation in patients undergoing invasive monitoring or therapeutic neurostimulation. Ongoing projects investigate the neural dynamics underlying mood and cognitive states using intracranial EEG recordings, electrical stimulation, scalp EEG, and multimodal behavioral assessments.

Specific projects include development of computational approaches for modeling stimulation-induced brain state changes, optimization of stimulation parameters using machine learning and Bayesian optimization frameworks, analysis of electrophysiological biomarkers associated with affective processing and treatment response, and integration of neural recordings across intracranial and noninvasive modalities.

The Postdoctoral Associate will work closely with multidisciplinary collaborators in neurology, neurosurgery, psychiatry, engineering, and computational neuroscience to support both mechanistic neuroscience studies and translational neurotechnology development.

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties
  • Analyzes intracranial electrophysiology, scalp EEG, and behavioral datasets using advanced statistical and computational methods.
  • Develops and implements machine learning and Bayesian optimization approaches for adaptive neuromodulation and stimulation parameter optimization.
  • Contributes to experimental design, protocol development, and data interpretation for human neuroscience studies involving electrical brain stimulation and affective neuroscience paradigms.
  • Develops computational pipelines for neural signal processing, feature extraction, and multimodal data integration.
  • Prepares manuscripts, conference abstracts, figures, and presentations for scientific dissemination.
  • Assists with mentoring graduate students, research assistants, and trainees within the laboratory.
  • Participates in interdisciplinary meetings and collaborative research activities across institutional and external research teams.
  • Maintains compliance with institutional, IRB, and data security requirements related to human subjects research.
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • PhD training in electrical and computer engineering, computer science, biomedical engineering, neuroscience, bioinformatics, or related fields. 
  • Prior postdoctoral experience is desired. 

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

PD; SN

What Baylor College of Medicine employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply