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Computational Neuroscientist Jobs (NOW HIRING)

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. ...

Ohio State University

$46K - $63K/yr

Vonder Haar in the Department of Neuroscience on computational neuroscience studies; plans, designs and executes experiments of considerable scope and complexity in the assigned research lab ...

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Computational Neuroscientist information

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How much do computational neuroscientist jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for computational neuroscientist 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.

Is Computational Neuroscience a growing field?

Computational Neuroscience is a rapidly expanding field driven by advances in neuroimaging, machine learning, and data analysis techniques. The demand for computational neuroscientists is increasing as research integrates more complex models of brain function and develops new applications in medicine and artificial intelligence.

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 can I do with a Computational Neuroscience degree?

A computational neuroscientist can work in academia, research institutions, or industry, applying skills in data analysis, modeling neural systems, and developing algorithms. Common roles include research scientist, data analyst, machine learning engineer, or neuroinformatics specialist, often requiring programming skills in Python, MATLAB, or R. Opportunities exist in healthcare, biotech, and technology sectors focused on brain research, neural engineering, and artificial intelligence development.

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 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 is a computational neuroscientist?

A computational neuroscientist is a researcher who uses mathematical models, computer simulations, and data analysis to understand how the brain processes information. They often work with neural data, develop algorithms, and utilize programming tools like MATLAB or Python to study neural systems and cognitive functions. This role typically requires a strong background in neuroscience, mathematics, and computer science.

Who are the most famous computational neuroscientists?

Famous computational neuroscientists include David Marr, known for work on visual processing; Christof Koch, recognized for research on consciousness; and Terry Sejnowski, a pioneer in neural network modeling. These scientists have significantly contributed to understanding brain function through mathematical models and simulations, often using tools like MATLAB and Python.

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.

What are computational neuroscientists?

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.
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Computational Neuroscientist jobs near you
Infographic showing various Computational Neuroscientist job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Temporary, and 1% Contract. Highlights an 7% Physical, and 93% Hybrid job distribution, with an average salary of $114,249 per year, or $54.9 per hour.
HudsonAlpha - Computational Biologist I - Cochran Lab

HudsonAlpha - Computational Biologist I - Cochran Lab

HudsonAlpha Institute for Biotechnology

Huntsville, AL • On-site

$66K - $75K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

Position: Computational Biologist I - Cochran Lab
Job Type: Full-Time
INSTITUTE OVERVIEW
The HudsonAlpha Institute for Biotechnology ( ) is a non-profit organization with the mission to use biotechnology and basic biological research to make important discoveries, improve human health, stimulate economic development, inspire young people to seek careers in science and teach members of the public the importance of science in their everyday lives. Located in Cummings Research Park in Huntsville, Alabama, one of the world's leading science and technology parks, HudsonAlpha's campus contains state-of-the-art laboratories for biological research and development, as well as education, in the areas of genomics, genetics and personalized medicine.
DEPARTMENT OVERVIEW
The J. Nicholas Cochran laboratory uses genomic approaches to answer biological questions specific to neurodegenerative diseases with an emphasis on Alzheimer's disease and other dementias. Therefore, while not required, subject area familiarity and/or interest in genetics, genomics, neuroscience, or neurodegenerative diseases is desirable. Projects include the study of gene regulation for genes implicated in neurodegeneration, novel analysis approaches for associating genetic variation with neurodegenerative diseases, and genome-wide genomics approaches relevant to neurodegeneration. Key ongoing projects related to this role include several national and international collaborations on genetic contributors to neurodegenerative diseases, including with the Multi-Partner Consortium to Expand Dementia Research in Latin America (ReDLat), the UCSF Memory and Aging Center, and the UAB Alzheimer's Disease Research Center.
POSITION SUMMARY
The Computational Biologist I combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data. This position supports collaborative research efforts with experimental scientists, software engineers, and other bioinformaticians to implement computational workflows and data analysis strategies.
The Computational Biologist I uses lab-generated or publicly available data to answer specific biological questions. By applying computational methods, the Computational Biologist I is integral to processing and analyzing the large amount of data generated in or accessed by a genomics laboratory. The ideal candidate will be comfortable constructing bioinformatics pipelines that interface with internal and external resources using modern programming languages commonly employed in bioinformatics (Python, R, and bash), both locally and in high-performance computing (HPC) and cloud environments.
JOB SPECIFIC TASKS
Data Analysis & Research
  • Perform data preprocessing, quality control, and analysis using established computational workflows
  • Understand the biological science behind the laboratory projects
  • Analyze genomic and transcriptomic data from neurodegenerative disease studies
  • Process high-throughput sequencing data (RNA-seq, DNA-seq, ATAC-seq, single-cell sequencing)
  • Manage access, management, and processing for large biological datasets

Pipeline Development & Maintenance
  • Assist in maintaining bioinformatics tools and pipelines to support research initiatives
  • Construct and optimize bioinformatics workflows for genomic data analysis
  • Collaborate with senior team members to troubleshoot data-related challenges and optimize workflows
  • Implement version control practices (Git/GitHub) for collaborative code development
  • Work with workflow management systems (Snakemake, Nextflow, WDL) as appropriate

Collaboration & Communication
  • Collaborate with the research team to plan and execute computational applications
  • Communicate technical findings clearly across teams and document methods for reproducibility
  • Work with experimental biologists, clinicians, and other computational researchers
  • Present analyses at lab meetings and research forums
  • Contribute to peer-reviewed research papers

EDUCATION AND REQUIRED SKILLS EXPERIENCE
Education:
  • Bachelor's degree or master's degree in computational biology, bioinformatics, biostatistics, computer science, statistics, or related quantitative field
  • Master's degree preferred

Experience:
  • 0 to 3 years of experience in bioinformatics, computational biology, or related field
  • Experience may include postgraduate research, internships, industry positions, or significant coursework projects

Required Technical Skills:
  • Proficiency in Python and/or R and bash scripting
  • Experience with version control systems (Git/GitHub)
  • Strong understanding of bioinformatics principles and proficiency in relevant computational tools
  • Fluency with Unix/Linux command-line environments
  • Ability to function in a high-performance computing (HPC) cluster environment
  • Strong understanding of statistics and quantitative data analysis
  • Proficient with Google Workspace and collaborative tools (Zoom, Slack, etc.)

COMPENSATION & BENEFITS
  • Salary Range: $66,000 - $75,000 annually, commensurate with education and experience.

Benefits include:
  • Comprehensive health, dental, and vision insurance
  • Retirement plan with employer contribution
  • Generous paid time off
  • Professional development support
  • Access to cutting-edge computational resources and technologies

Physical Demands/Environmental Factors/Mental Functions
ADA Requirements - The physical demands, work environment factors, and mental functions described below are representative of those that must be met by an employee to successfully perform the essential function of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Disclaimer - All job requirements are subject to possible revision to reflect changes in the position requirements or to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a threat or risk to the health and safety of themselves or other employees. This job description in no way states or implies that these are the only duties which will be required in this position. Employees will be required to follow other job-related duties as requested by their supervisor/manager (within guidelines and compliance with Federal and State Laws). Continued employment remains on an "at-will" basis.
Physical Demands
  • Must be able to remain in a stationary position (sit or stand) for prolonged periods (50% of the time).
  • Frequently moving between work areas.
  • Frequently moving, transporting, and positioning materials up to 30 pounds.
  • Vision abilities required by this job include close vision, distance vision, and depth perception.
  • Frequent operation of common office equipment (e.g. computers, mobile devices, calculators, copiers, scanners) and laboratory equipment.
  • Frequently position self (e.g. stoop, crouch, crawl, bend) and pull/push, grasp/squeeze, wrist flexion/extension, reach to operate and maintain laboratory equipment.

Environmental Factors
  • Exposure to chemical, mechanical and electrical hazards, and hazardous physical substances and fumes, and airborne particles.
  • Noise level in the work environment is usually moderate.

Mental Functions
  • Continuous mental and visual attention, requiring sustained attention and observation.
  • Excellent fine motor skills and hand control in order to pipette accurately.
  • Ability to sustain focus during research procedures (to maintain protocol such as order of operations).
  • Ability to visually observe results and record outcomes on lab logs and/or PC.
  • Basic computer skills are required.
  • Extensive documentation skills, good attention to detail, and exceptional organizational skills are required.
  • Communicate effectively, both orally and in writing, in the English language.
  • Requires the ability to adapt to change efficiently.
  • Ability to independently lead and conduct research, and to evaluate, interpret and present complex scientific data.
  • Capacity to work productively within functionally diverse teams as well as collaborate with external investigators and partners in academic and industrial settings.
  • Ability to prioritize issues and use sound judgment to recognize when additional consultation and/or help is needed.
  • Comfortable working on multiple projects at one time.
  • Strong logical thinking and deduction skills.
  • Ability to effectively present ideas and information in a variety of formats to a wide range of audiences.
  • Positive, flexible, and professional attitude.

It is the policy of HudsonAlpha Institute for Biotechnology, in accordance with all applicable laws, to recruit, hire, train, and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, disability, genetic information, sexual orientation, veteran status, or any other basis prohibited by applicable law.

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