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Researcher In Jobs in Vaughan, ON (NOW HIRING)

Baycrest

Research Assistant Level 2

Toronto, ON

CA$26.29 - CA$36.15/hr

Founded in 1989, the RRI's scientists, staff, and trainees have supported Baycrest in becoming Canada's #1 most research-intensive hospital, with scientific foci in four primary areas consistent with ...

THOMSON REUTERS

Lead UX Researcher

Toronto, ON · On-site

In this Lead position, you will drive the end-to-end UX research practice for a complex, high-impact product portfolio. You will be expected to lead both strategic generative research and evaluative ...

Deloitte

AI Research Engineer

Toronto, ON · On-site

Have many careers in one Firm. * Enjoy flexible, proactive, and practical benefits that foster a ... Research, prototype, and develop generative AI applications by combining non-deterministic LLMs ...

Waabi

Research Scientist, Neural Reconstruction

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially ...

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All JobsResearcher In JobsResearcher In Jobs in Vaughan, ON

Researcher In information

What profession makes $400,000 a year?

In research-related fields, senior scientists, principal investigators, or research directors in industries like pharmaceuticals, biotechnology, or technology can earn $400,000 or more annually, often through a combination of salary, bonuses, and stock options. These roles typically require advanced degrees, extensive experience, and leadership skills, and may involve managing large teams or projects.

How do Researchers In typically collaborate with other departments or teams within an organization?

Researchers In often work closely with cross-functional teams such as data analysts, project managers, and subject matter experts to ensure their research aligns with organizational objectives. Collaboration usually involves regular meetings to discuss findings, share insights, and refine research questions based on feedback. This teamwork helps integrate research outcomes into broader projects, making communication and adaptability key skills for success in this role. Building strong professional relationships across departments can also open up opportunities for career growth and interdisciplinary projects.

What is the difference between Researcher In vs Research Analyst?

AspectResearcher InResearch Analyst
Required CredentialsTypically requires a degree in a relevant field, often with research experienceUsually requires a degree in business, economics, or related fields, with analytical skills
Work EnvironmentAcademic, scientific, or research institutionsCorporate, consulting firms, or market research companies
Employer & Industry UsageUniversities, research institutes, government agenciesPrivate companies, financial institutions, market research firms
Common Search & Comparison IntentUnderstanding research roles in academia or scienceComparing research roles focused on data analysis and market insights

The main difference between a Researcher In and a Research Analyst lies in their work focus and environment. Researchers In typically work in academic or scientific settings, conducting experiments or studies, while Research Analysts focus on analyzing data to inform business decisions in corporate environments. Both roles require strong research skills, but their industry applications and daily tasks differ significantly.

What jobs pay $10,000 a month without a degree?

Researcher roles in certain industries, such as market research or freelance research consulting, can pay $10,000 or more per month with relevant experience and skills. High-paying research positions often require strong analytical abilities, industry knowledge, and proficiency with data analysis tools, but may not require a formal degree if expertise is demonstrated through work or certifications.

What jobs do researchers have?

Researchers work in various fields such as science, social sciences, technology, and healthcare, conducting studies, experiments, and data analysis to generate new knowledge. They often work in laboratories, universities, or corporate settings, utilizing skills in critical thinking, data collection, and analysis tools. Job titles include research scientist, research analyst, research associate, and research coordinator, often requiring relevant degrees and specialized knowledge.

What are the key skills and qualifications needed to thrive as a Researcher, and why are they important?

To thrive as a Researcher, you need strong analytical abilities, critical thinking, and a relevant academic background, often with an advanced degree in your field. Familiarity with statistical software, laboratory techniques, or research databases is typically required, along with any necessary certifications related to your discipline. Excellent written and verbal communication, curiosity, and perseverance help researchers effectively share findings and overcome challenges. These skills are crucial for producing rigorous, impactful research and advancing knowledge in the chosen field.

What jobs can you get as a researcher?

Researchers can work in various fields such as scientific research, social sciences, market analysis, or academic institutions. Common roles include research analyst, research scientist, data analyst, and research associate, often requiring skills in data collection, analysis, and reporting, with familiarity in tools like statistical software or laboratory equipment.

What does a Researcher do?

A Researcher is responsible for investigating specific topics or problems to discover new information, validate facts, and contribute to knowledge in their field. Their work typically involves designing and conducting experiments, collecting and analyzing data, reviewing existing literature, and publishing findings. Researchers may work in academic, scientific, corporate, or government settings, and they often collaborate with other experts. Their goal is to advance understanding and provide evidence-based recommendations or solutions.
What cities near Vaughan, ON are hiring for Researcher In jobs? Cities near Vaughan, ON with the most Researcher In job openings:
Researcher In jobs near you
Infographic showing various Researcher In job openings in Vaughan, ON as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Applied ML Researcher - Fully Remote | Upto $90/hr

Mercor

Toronto, ON • Remote

CA$90/hr

Full-time

Posted 13 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Machine Learning Engineer Expert
Type: Contract
Compensation: $90/hour
Location: Remote

Role Responsibilities

  • Develop end-to-end machine learning solutions for challenging prediction and modeling problems.
  • Analyze datasets and define appropriate modeling approaches, validation strategies, and evaluation metrics.
  • Perform exploratory data analysis, feature engineering, and data preprocessing.
  • Train, tune, and evaluate machine learning models across tabular, text, image, and time-series datasets.
  • Review and validate the technical quality of machine learning projects and deliverables.
  • Identify opportunities to improve model performance through systematic experimentation and iteration.

Qualifications

Must-Have

  • Master's degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related field from a top-tier university.
  • 2+ years of professional experience in machine learning, applied AI, data science, or a closely related field.
  • Strong proficiency in Python and modern machine learning frameworks (e.g., scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow).
  • Demonstrated experience building end-to-end machine learning solutions, including data preparation, model development, validation, and evaluation.
  • Strong understanding of model evaluation metrics, validation methodologies, and experimental design.
  • Experience with one or more of the following areas: tabular machine learning, natural language processing, computer vision, recommendation systems, ranking systems, time-series forecasting.
  • Ability to work independently on open-ended machine learning problems and deliver high-quality technical outputs.

Preferred

  • PhD from a leading research university.
  • Experience at leading technology companies, AI labs, research institutions, or high-growth startups.
  • Participation in competitive machine learning or data science competitions.
  • Experience optimizing models against performance-based evaluation metrics.
  • Familiarity with advanced techniques such as ensembling, hyperparameter optimization, transfer learning, foundation model fine-tuning, or reinforcement learning.
  • Publications, patents, or significant open-source contributions in machine learning or AI.
  • Experience reviewing, mentoring, or evaluating the work of other machine learning practitioners.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.