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Entry Level Behavioral Science Jobs in Ontario (NOW HIRING)

You will leverage your understanding of cognitive science, learning theories, and educational ... Level: Entry-level to early-career (0-2 years of professional experience), backed by a strong ...

Entry Level Behavioral Science information

See Ontario salary details

$10

$23

$45

How much do entry level behavioral science jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for entry level behavioral science in Ontario is $23.14, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $23.08 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Behavioral Science vs Entry Level Psychology?

AspectEntry Level Behavioral ScienceEntry Level Psychology
Required CredentialsBachelor's in Behavioral Science, Psychology, or related fieldBachelor's in Psychology or related field
Work EnvironmentResearch settings, healthcare, social servicesClinics, research institutions, educational settings
Employer & Industry UsageResearch firms, healthcare organizations, government agenciesHospitals, clinics, academic institutions
Common Search & ComparisonFocuses on behavioral analysis and research methodsFocuses on mental health, therapy, and counseling

Entry Level Behavioral Science and Entry Level Psychology share similar educational backgrounds and work environments, but they differ in focus areas. Behavioral Science emphasizes research and analysis of human behavior across various settings, while Psychology often centers on mental health and therapeutic practices. Both roles serve as foundational steps toward specialized careers in their respective fields.

How to get into behavioral science?

To enter entry-level behavioral science roles, candidates typically need a bachelor's degree in psychology, sociology, or a related field. Gaining experience through internships, developing skills in data analysis and research methods, and familiarizing oneself with relevant tools like SPSS or R can improve job prospects.

What are the key skills and qualifications needed to thrive as an Entry Level Behavioral Science professional, and why are they important?

To thrive as an Entry Level Behavioral Science professional, you need a foundational understanding of psychology or behavioral science principles, typically supported by a bachelor’s degree in a related field. Familiarity with data collection tools, statistical analysis software (like SPSS or R), and research methodologies is often required. Strong interpersonal skills, attention to detail, and critical thinking help you connect with clients and interpret behavioral data effectively. These skills are crucial for accurately analyzing behaviors, supporting research projects, and contributing to evidence-based interventions.

What are entry level behavioral science jobs?

Entry level behavioral science jobs are positions for individuals who are just starting their careers in the field of behavioral science, often requiring a bachelor’s degree in psychology, sociology, or a related discipline. These roles typically involve assisting with research, data collection, analysis, or working with clients under supervision in settings like healthcare, education, or social services. Common job titles include research assistant, behavioral technician, case manager, or program coordinator. These positions provide foundational experience and training for advancing to more specialized or senior roles in behavioral science.

What can I do with a degree in behavioral sciences?

An entry-level behavioral science degree prepares individuals for roles such as behavioral technician, research assistant, or case coordinator, often requiring skills in data analysis, communication, and understanding human behavior. Graduates can work in healthcare, social services, marketing, or research settings, sometimes pursuing certifications like CPR or basic life support to enhance employability.

What jobs pay 4000 a week without a degree?

Entry-level behavioral science roles typically do not pay $4,000 a week without advanced education or specialized experience. High-paying jobs in this field usually require additional certifications, experience, or advanced degrees. Most roles offering such high weekly pay are in sales, entrepreneurship, or specialized consulting, which often depend on performance and client base rather than formal education alone.

How to Get an Entry-Level Behavioral Science Job

To get an entry-level behavioral science job, you must have several qualifications, including education and professional certification. A bachelor's degree in psychology, sociology, human behavior, behavioral science, or a closely related field is usually necessary to get work in social work, marketing, and research. To work as a therapist, you must have either a master’s degree or a doctorate and a license to practice in your state. To advance in other fields, such as social work and research, an advanced degree is often necessary. Strong analytical thinking skills and excellent interpersonal communication abilities are essential for work in behavioral science.

What types of projects or tasks are typically assigned to entry-level behavioral science professionals?

Entry-level behavioral science professionals often support research initiatives by collecting and analyzing data, conducting literature reviews, and assisting with the design and implementation of experiments or surveys. They may also help prepare reports or presentations and collaborate with interdisciplinary teams, including psychologists, data analysts, and program managers. These tasks provide a strong foundation in research methods and data interpretation, while offering exposure to a variety of real-world behavioral science applications.

What jobs can you do with a Behavioural Science degree?

Entry-level behavioral science graduates can pursue roles such as research assistants, data analysts, behavioral consultants, or user experience researchers. These positions often involve analyzing human behavior, applying psychological principles, and using tools like SPSS or qualitative research methods in settings like healthcare, marketing, or public policy.
What are popular job titles related to Entry Level Behavioral Science jobs in Ontario? For Entry Level Behavioral Science jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Entry Level Behavioral Science jobs in Ontario look for? The top searched job categories for Entry Level Behavioral Science jobs in Ontario are:
What cities in Ontario are hiring for Entry Level Behavioral Science jobs? Cities in Ontario with the most Entry Level Behavioral Science job openings:
Infographic showing various Entry Level Behavioral Science job openings in Ontario as of July 2026, with employment types broken down into 2% As Needed, 77% Full Time, 17% Part Time, and 4% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $48,132 per year, or $23.1 per hour.

Expression of Interest: Learning Analytics Associate

Esf

Full-time

Posted 3 days ago


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/.