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Computational Cognitive Science Jobs (NOW HIRING)

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Computational Cognitive Science information

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$36.5K

$65.5K

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How much do computational cognitive science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for computational cognitive science in the United States is $65,470.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $69,500.00 per year, depending on experience, location, and employer.

What are the most common challenges faced by professionals in Computational Cognitive Science roles?

One of the main challenges in Computational Cognitive Science is integrating knowledge from multiple disciplines such as psychology, neuroscience, and computer science to build and validate complex models of human cognition. Professionals often have to balance rigorous experimental design with advanced computational techniques, all while staying current with rapidly evolving technologies and research findings. Collaboration with diverse teams—including software engineers, data scientists, and behavioral researchers—is common and may require adjusting communication styles to bridge knowledge gaps. Successfully navigating these challenges can make a significant impact in both academic and industry settings, leading to advancements in artificial intelligence, user experience design, and human-computer interaction.

What is a Computational Cognitive Science job?

A Computational Cognitive Science job involves using computational models, artificial intelligence, and data analysis to study human cognition, including learning, reasoning, perception, and decision-making. Professionals in this field work at the intersection of cognitive psychology, neuroscience, and computer science to develop simulations and algorithms that mimic human thought processes. They may apply their expertise in academia, tech companies, healthcare, or AI research, contributing to advancements in human-computer interaction, machine learning, and cognitive system design.

What are the key skills and qualifications needed to thrive in the Computational Cognitive Science position, and why are they important?

To thrive in Computational Cognitive Science, a strong background in cognitive psychology, computer science, and mathematics—often supported by a relevant advanced degree—is essential. Experience with data analysis software (such as Python, R, or MATLAB), machine learning libraries, and experimental design tools is typically expected. Critical thinking, interdisciplinary collaboration, and effective communication are crucial soft skills for success in this field. These abilities enable professionals to design robust experiments, analyze complex data, and translate insights into impactful research or product developments.

More about Computational Cognitive Science jobs
What cities are hiring for Computational Cognitive Science jobs? Cities with the most Computational Cognitive Science job openings:
What states have the most Computational Cognitive Science jobs? States with the most job openings for Computational Cognitive Science jobs include:
Infographic showing various Computational Cognitive Science job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $65,470 per year, or $31.5 per hour.
Life Science Research Professional 1

Life Science Research Professional 1

Stanford University

Stanford, CA • On-site

$31.40 - $38.89/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Stanford University rating

7.8

Company rating: 7.8 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

192nd of 535 rated colleges and universities


Job description

Andreas Tolias' research team is seeking a talented NHP LSRP1 to join a multi-disciplinary team of scientists and engineers working on large scale technologies for brain activity and connectivity mapping. We are hiring someone with non-human primate and/or large scale electrophysiology experience who will be involved in exciting projects studying brain cognition using state of the art facilities and tour de force large scale non-human primate electrophysiological recordings including neuropixels. The applicant will support a team of leading researchers in experimental neuroscience, computational neuroscience, and machine learning in an effort to discover algorithmic principles that bridge artificial and natural intelligence and link brains to intelligent machines. The goal of the team is to understand the brain's mechanisms of intelligence and engineer smarter AI. If you are excited to work on the interface of neuroscience, artificial intelligence and cognitive science to understand the brain's mechanisms of perception and cognition and engineer a less artificial but more intelligent machines apply to join our team.


Duties include:

  • Trains nonhuman primates to perform behavioral tasks.
  • Conducts nhp research experiments, collects data, and evaluates data quality.
  • Documents results of experiments and reports to team lead.
  • Works closely with collaborators on nhp projects and data collection.
  • Assists with protocol development and compliance.
  • Regularly inspects and maintains lab equipment and lab facilities to meet sanitation standards that assure the highest quality of animal care.
  • Monitors to assure compliance with USDA, PHS, AAALAC, Stanford and other relevant regulations, guidelines and policies.
  • Interacts and coordinates with veterinary services staff to assure the health and welfare of animals.
  • Works closely and interacts daily with NHP to assist with aspects of their daily routine and enrichment program.
  • Assists with several aspects of surgery preparation and surgery, including organizing and setting up surgery tools, monitoring patient vitals, etc, pre- and post-operative care, and administering medications.
  • *Other duties may also be assigned
     

DESIRED QUALIFICATIONS: 
Master's degree in a basic science or Bachelor's degree in a basic science (biology, animal science, psychology etc.) and 2 years of nonhuman primate experience. Candidates with experience in NHP work or other large animal work required. Candidates with experience in large scale electrophysiology will be given preference. Electrophysiology experience is preferred.
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor's degree in related scientific field.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

  • General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed.
  • Demonstrated ability to apply theoretical knowledge of science principals to problem solve work. 
  • Ability to maintain detailed records of experiments and outcomes.
  • General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications.
  • Ability to work under deadlines with general guidance. 
  • Excellent organizational skills and demonstrated ability to accurately complete detailed work.

    PHYSICAL REQUIREMENTS*:

  • Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds. 
  • Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts. 
  • Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls. 
  • Must have correctible vision to perform duties of the job.
  • Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours.
  • Ability to lift heavy objects weighing up to 50 pounds.
  • Ability to work in a dusty, dirty, and odorous environment.
  • Position may require repetitive motion.
     


    WORKING CONDITIONS:

  • May require working in close proximity to blood borne pathogens.
  • May require work in an environment where animals are used for teaching and research.
  • Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present. 
  • Employee must perform tasks that require the use of personal protective equipment, such as safety glasses and shoes, protective clothing and gloves, and possibly a respirator. 
  • May require extended or unusual work hours based on research requirements and business needs.
  • Add or subtract physical requirements based on the requirements of your specific job. (remove this statement for posting)
    The expected pay range for this position is $31.40 to $38.89 per hour.  
    Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
    At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
    Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.
    Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
Additional Information
  • Schedule: Full-time
  • Job Code: 4943
  • Employee Status: Regular
  • Grade: E
  • Requisition ID: 107892
  • Work Arrangement : On Site

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