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Cognitive Science Jobs in Ontario (NOW HIRING)

You will leverage your understanding of cognitive science, learning theories, and educational research methodologies to design, prototype, and evaluate digital learning interventions. Rather than ...

The college also directs Canadian Studies, Cognitive Science, and Public Health - interdisciplinary Arts and Science programs that challenge our students to excel intellectually - and a suite of ...

$19/hr

Offering a full range of programs for students of all ages and abilities, Oxford Learning uses the science of cognitive learning to help all students develop stronger learning skills they can rely on ...

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Cognitive Science information

See Ontario salary details

$21K

$62.1K

$158.5K

How much do cognitive science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for cognitive science in Ontario is $62,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $73,000.00 per year, depending on experience, location, and employer.

What is a cognitive science job?

A Cognitive Science job involves applying knowledge from psychology, neuroscience, artificial intelligence, philosophy, and linguistics to understand how humans and machines think, learn, and process information. Professionals in this field work in diverse industries, including technology, healthcare, research, and user experience design. Common roles include data scientist, UX researcher, AI specialist, and cognitive psychologist. These jobs often require analytical thinking, programming skills, and expertise in human behavior or machine learning.

What are the key skills and qualifications needed to thrive in a cognitive science position?

To thrive in a Cognitive Science role, you need a solid grounding in psychology, neuroscience, computer science, linguistics, and data analysis, usually supported by at least a bachelor's or master's degree in a related field. Familiarity with statistical analysis software (such as SPSS or R), programming languages (like Python or MATLAB), and research tools is highly advantageous. Outstanding collaboration, critical thinking, and clear communication skills set top candidates apart in multidisciplinary teams. These skills and qualifications enable professionals to analyze complex cognitive processes and contribute innovative solutions to real-world human-computer interaction, AI, or behavioral research challenges.

What are the typical career progression opportunities for someone in a cognitive science role?

Professionals in cognitive science often start in research assistant, data analyst, or user experience roles and can progress to positions such as lead researcher, UX researcher, cognitive engineer, or even project manager depending on their interests and expertise. With experience and additional qualifications, some transition into roles in artificial intelligence, human-computer interaction, neurotechnology, or higher education as professors or principal investigators. Opportunities for advancement are often influenced by your ability to publish research, collaborate across disciplines, and acquire advanced degrees or certifications. Many cognitive science professionals also find pathways into related industries including technology, healthcare, and education, allowing for diverse and rewarding career trajectories.

Is cognitive science a useful degree?

Cognitive science is a versatile degree that prepares graduates for careers in research, technology, healthcare, and user experience design by combining psychology, neuroscience, computer science, and linguistics. It develops skills in critical thinking, data analysis, and problem-solving, which are valuable across many industries. Job opportunities often require interdisciplinary knowledge and may benefit from programming skills or familiarity with AI tools.

Is cognitive science in demand?

Cognitive science is a growing interdisciplinary field with increasing demand in areas such as artificial intelligence, human-computer interaction, and user experience design. Professionals with skills in data analysis, programming, and understanding of cognitive processes are sought after in research, technology, and healthcare sectors.

What does a cognitive scientist do?

A cognitive scientist studies mental processes such as perception, memory, language, and decision-making by analyzing how the brain and mind work. They often conduct experiments, develop models, and use tools like neuroimaging to understand human cognition, working in research, academia, or applied settings. Strong analytical skills and knowledge of psychology, neuroscience, and computer science are essential for this role.
Infographic showing various 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 $62,135 per year, or $29.9 per hour.

Expression of Interest: Learning Analytics Associate

Esf

Full-time

Re-posted yesterday


Job description

ESF is now inviting candidates to register their interest in theLearning Analytics Associate role.

Role Overview

The Learning Innovation & Analytics Associate sits at the intersection of the learning sciences, educational data science, and modern technology prototyping. Rooted deeply in pedagogy, this role is designed for a researcher-practitioner who understands how people learn and wants to apply that knowledge to shape the future of K-12 education across ESF.

The primary lens for this role ispedagogical efficacy. You will leverage your understanding of cognitive science, learning theories, and educational research methodologies to design, prototype, and evaluate digital learning interventions. Rather than acting as a traditional software engineer, you will utilize modern Generative AI and AI-assisted programming tools ("vibe coding") as a lever to rapidly bring research-backed educational tools to life, measuring their impact on teaching and learning through rigorous data analysis.

Key Responsibilities

1. Pedagogically-Driven Prototyping & AI Realization

  • Translate established learning theories (e.g., cognitive load theory, constructivism, retrieval practice) and pedagogical strategies into functional digital tools and prototypes.

  • Utilize Generative AI and AI-assisted development workflows to rapidly build and deploy lightweight, proof-of-concept tools (e.g., targeted formative assessment assistants, scaffolding tools, or adaptive learning prompts) without needing a formal computer science background.

  • Design human-AI collaboration frameworks for the classroom that position technology as an encoder of sound pedagogy, ensuring AI interventions support rather than disrupt the teacher-student dynamic.

2. Educational Research & Learning Analytics

  • Design and execute rigorous, localized research studies-such as Design-Based Implementation Research (DBIR) and experimental/quasi-experimental designs-to evaluate the classroom impact of educational tools.

  • Architect learning analytics frameworks and event-logging infrastructure within prototypes to capture meaningful indicators of student engagement, conceptual understanding, and learning trajectories.

  • Apply advanced statistical methods (e.g., regression analysis, mixed-methods analysis) to synthesize quantitative behavioral data with qualitative classroom observations and teacher interviews.

3. Curriculum Alignment & Assessment Design

  • Collaborate with educators to map digital interventions directly to ESF curriculum standards and learning outcomes.

  • Apply contemporary classroom assessment theories to design tools that provide actionable, high-quality formative feedback to students and diagnostic insights to teachers.

  • Conduct robust User Experience Research (UXR) centered on pedagogical workflows, ensuring tools actively reduce teachers' administrative cognitive load and optimize instructional time.

Requirements

Education & Experience

  • Minimum:Master's or advanced Bachelor's degree in Education Data Science, Learning Sciences, Learning Analytics, Educational Psychology, or a closely related field.

  • Core Foundation:A strong academic background in learning theories, instructional design principles, curriculum construction, and formal educational research methodologies (both quantitative and qualitative).

  • Level:Entry-level to early-career (0-2 years of professional experience), backed by a strong portfolio of academic research projects, lab interventions, or self-initiated educational tool builds.

Technical & Analytical Skills

  • Educational Research & Data Science:Proficient in educational data processing, experimental design, regression analysis, and using data to evaluate learning outcomes. Familiarity with statistical tools (e.g., R, Python, SPSS) is highly valued.

  • AI-Assisted Prototyping:Demonstrated ability to use LLMs and AI coding assistants to build functional web applications. While full-stack familiarity (e.g., Python/FastAPI, React) is a major asset, your value lies in orchestrating these tools to testpedagogical hypotheses, not in traditional software engineering.

  • Assessment & UXR:Deep understanding of how to construct valid assessments and conduct user research within an educational setting.


supportstaff
SupportStaffIT

For enquiries, please contact Karen Ng @ 37622653 or Email: Karen.ng@esfcentre.edu.hk

Applications will be reviewed on a rolling basis and offers may be extended prior to the job closing date. We strongly recommend early applications as we reserve the right to appoint candidates earlier than the closing date.

By applying for this position, your application may be considered for other opportunities (senior-level roles, head of department, etc.) within ESF.

ESF is an Equal Opportunities Employer
The English Schools Foundation (ESF) is fully committed to providing equal employment opportunities. ESF will not discriminate on the basis of age, race, colour, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by local laws or regulations.
Personal data provided by job applicants will be used strictly in accordance with the ESF's Personal Data Policy, a copy of which will be provided upon request.
ESF is dedicated to ensuring the safety and well-being of all students in our care and expects all applicants to uphold this commitment. We adhere to rigorous recruitment practices, with all appointments contingent upon an interview, identity verification, criminal background checks (including ICPC, SCRC, and other international background checks as appropriate), assessment of social media presence, and positive references.
In accordance with the Keeping Children Safe in Education (KCSIE) 2025 guidelines, ESF may perform online checks for all shortlisted candidates prior to the interview.

About Us


The English Schools Foundation (ESF) is the largest English-medium international school organisation in Hong Kong. Our 22 schools and comprehensive programme of extra-curricular activities bring out the best in every student through a personalised approach to learning and by inspiring curious minds.
There are over 18,000 students from 75 different nationalities in ESF kindergartens, primary, secondary and all-through schools.
www.esf.edu.hk

About the Team
The English Schools Foundation (ESF) is a modern, well-managed educational organisation, committed to offering an international education to students drawn from over 70 countries. We are proud to be at the forefront of the educational hub in Hong Kong. We actively take advantage of the opportunities that Hong Kong offers as Asia's world city and the principal gate-way to China.
The curriculum, leading to the International Baccalaureate, is adapted to Hong Kong, and the Asia Pacific region. ESF's 1,100 teachers are highly qualified bringing with them experience from Australia, Canada, New Zealand, the United States, the UK and many other international school systems. All schools offer a broad range of out-of-school activities in Hong Kong and overseas.
ESF has over 18,000 students. Our culture is one of joy in learning and pride in achievement. The great majority of our students study for the IB Diploma and gain entry to universities all over the world. ESF has a long-standing commitment to children with individual needs and is the principal provider for English-speaking children with special educational needs in Hong Kong. For further details about ESF, please visit our website at https://www.esf.edu.hk/.