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Computational Cognitive Science Jobs in Ontario (NOW HIRING)

Cognitive Neuroscience, Aging and Brain Health, Alzheimer's and Related Diseases, Computational ... Bachelor degree in Computer Science. Required skills/experience: * Skilled in Python, HTML, Apache ...

Cognitive Neuroscience, Aging and Brain Health, Alzheimer's and Related Diseases, Computational ... health science discipline. * Doctoral degree (PhD or PsyD) in Clinical Psychology or ...

Cognitive Neuroscience, Aging and Brain Health, Alzheimer's and Related Diseases, Computational ... Completed postsecondary degree in a science or healthcare related discipline, or equivalent work ...

Cognitive Neuroscience, Aging and Brain Health, Alzheimer's and Related Diseases, Computational ... Bachelor's degree in Sciences preferred. * Preferred: CRO industry experience. * Minimum of 2 years ...

CA$200K/yr

... cognitive, behavioural, and systems levels ... Areas of particular interest include neuroimaging, computational psychiatry, artificial ...

Computational Cognitive Science information

See Ontario salary details

$22K

$81.2K

$170.5K

How much do computational cognitive science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for computational cognitive science in Ontario is $81,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $115,000.00 per year, depending on experience, location, and employer.

What is a computational cognitive science?

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 computational cognitive science?

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.

What are the most common challenges faced by professionals in computational cognitive science?

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.

Is computational cognitive science a good career?

Computational cognitive science is a multidisciplinary field combining psychology, computer science, and neuroscience, with careers involving research, data analysis, and developing models of human cognition. Job prospects are strong in academia, industry, and technology sectors, especially for those skilled in programming, machine learning, and statistical analysis. The field often requires advanced degrees such as a master's or Ph.D. and familiarity with tools like Python, MATLAB, or R.

What kind of jobs can I get with a computational cognitive science degree?

A degree in computational cognitive science prepares individuals for roles such as cognitive scientist, data analyst, machine learning engineer, human factors specialist, or research scientist. These jobs often involve analyzing human behavior, developing AI models, designing user interfaces, or conducting experiments, and typically require skills in programming, statistics, and cognitive modeling.

What are popular job titles related to Computational Cognitive Science jobs in Ontario?

For Computational Cognitive Science jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Computational Cognitive Science jobs in Ontario look for?

The top searched job categories for Computational Cognitive Science jobs in Ontario are:

Infographic showing various Computational Cognitive Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $81,217 per year, or $39 per hour.

Research Programmer

Baycrest

Toronto, ON • Hybrid

CA$82/hr

Full-time, Part-time

Re-posted yesterday


Job description

The Rotman Research Institute at Baycrest

has an opportunity for a

RESEARCH PROGRAMMER

 

Position Number: 9659

Position Type: Temporary Full-Time (Up to 12 months)

Shift Type: Day

Bi-Weekly Hours: 70 Hours

Location: Toronto

Union: Non-Union

Date Posted: April 24, 2026

 

Job Summary: 

The Rotman Research Institute (RRI) is a premier interdisciplinary, international centre for the study of human brain function. Our core research themes are: Cognitive Neuroscience, Aging and Brain Health, Alzheimer’s and Related Diseases, Computational Modeling and Neuroinformatics. Our research focuses on cognitive brain functions (including memory, executive function, attention, perception, and language), both in normal aging and in the presence of diseases and conditions that affect the brain, such as Alzheimer’s disease and other dementias, stroke, and traumatic brain injury.  The Rotman Research Institute supports behavioral, neuropsychological, neuroimaging, and neurocomputational studies with state-of-the-art facilities, including eye-tracking, electroencephalography, and magnetoencephalography laboratories and a research-dedicated Siemens 3 Tesla MRI in-house at Baycrest.

Responsibilities include but are not limited to: 

  • Modification of web functionalities within a live framework.
  • Creation of new web modules.
  • Bug isolation and correction.
  • Creating documentation for technical and non-technical users.
  • Data entry and data correction.
  • Performs IT-Technician duties, as required, or as needs arise.

Qualifications include but are not limited to: 

  • Bachelor degree in Computer Science.

Required skills/experience: 

  • Skilled in Python, HTML, Apache, MySQL, with heavy focus on PHP.
  • Should be able to integrate CSS, JavaScript, and related technologies.
  • Must be capable of working within Linux.
  • Candidate must be comfortable working in both GUI and command-line environments.
  • Familiarity with how CMS operate will be beneficial.
  • Good written and verbal communication in English.
  • Good interpersonal skills.

Schedule/location: 

  •  Negotiable part-time 3 days/week up to full-time 5 days/week.
  • Work will be on-site.
  •  Possibility of working from home will be evaluated based on task evolution.

Compensation: 

  • At Baycrest, we take pride in ensuring our compensation structure is internally equitable and compliant with pay equity legislation. We believe compensation should be transparent, equitable, and reflective of your experience and growth. Our salary ranges are structured to support progression, from learning the role to demonstrating full proficiency.
  • The salary range for this position is $66,021 – 82, 526.
  • Your placement within the target hiring range will depend on your job-related knowledge, skills, abilities, and relevant education and experience, as well as considerations such as market conditions and internal equity. The starting salary will be determined using these factors to ensure fairness and consistency across the organization.

Required Skills
Required Experience