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Phd Science Jobs in Toronto, ON (NOW HIRING)

Mercor

ML Research Scientist - PhD

Toronto, ON · Remote

CA$110 - CA$145/hr

PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least one main conference paper at ICML, NeurIPS, or ICLR . * Strong preference for candidates with 2+ ...

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$70 - CA$90/hr

Computer Science PhD Researchers Type: Contract Compensation: $70-$90/hour Location: Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with large language ...

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

PhD or advanced degree (or equivalent industry experience) in Medicine , Healthcare , Statistics , Data Science , AI/ML Research , Computer Science , Game Development , or Mechanical/Aerospace ...

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

PhD or advanced degree in Medicine / Healthcare , Statistics and Data Science , AI / ML Research , Computer Science , Game Development , or Mechanical / Aerospace Engineering . * High attention to ...

Mercor

Computational Seismology Expert - PhD

Toronto, ON · On-site +1

CA$70 - CA$85/hr

Develop problems requiring the use of specialized scientific software like SPECFEM , ObsPy , and ... Graduate-level training in a relevant STEM field ( MS, PhD, or equivalent research experience

New

Mercor

AI Assessment Specialist - PhD

Toronto, ON · On-site +1

CA$66 - CA$84/hr

Applied Computer Science Benchmark Specialist Type: Contract Compensation: $66-$84/hour Location ... PhD or doctoral candidate in Computer Science , Electrical Engineering , or a closely related field.

New

Waabi

2026 Intern, PhD Research Scientist

Toronto, ON

CA$60/hr

Qualifications: - Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software ...

Science&Humans

Clinical Program Manager

Mississauga, ON · On-site

PhD required in a clinical research, biology, or related life sciences discipline. * Hands-on clinical trial experience (e.g., trial design, data collection, protocol execution, or clinical research ...

Mercor

Automated Planning PhD - AI Expert

Toronto, ON · Remote

CA$55 - CA$80/hr

PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or Operations Research . * Focus on automated planning / symbolic AI . * High attention to detail

MasterCard

Director, Data Science

Toronto, ON · On-site

Advanced degree (Master's or PhD preferred) in Data Science, ML, or related field Extensive experience leading a Data Science team and drive innovation with inspiration. Experienced being a great ...

CookUnity

Director, Data Science/ML

Toronto, ON · On-site

  • Medical

  • Vision

  • Life

  • PTO

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field * Experience with real-time ML systems and feature stores * Background in recommendation systems or ...

CookUnity

Director, Data Science/ML

Toronto, ON · On-site

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field * Experience with real-time ML systems and feature stores * Background in recommendation systems or ...

Stripe

Data Scientist, Fraud

Toronto, ON

PhD with 1-3 years, MS or MA with 2-6 years, or BS or BA with 4-8 years of data science or quantitative modeling experience * Experience with Fraud, Risk or Financial Crimes * Proficiency in SQL and ...

PPT

Senior Data Scientist

Toronto, ON · Remote

  • Medical

  • PTO

Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related field. * 3+ years of work experience as a Data Scientist with experience at all levels of the ML pipeline ...

Stripe

Data Scientist, Link

Toronto, ON

PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience * 3+ years in Product Analytics, Experimentation and Causal Inference

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Phd Science information

What is a PhD in science?

A PhD in Science is the highest academic degree awarded in scientific fields such as biology, chemistry, physics, or environmental science. It typically involves several years of advanced coursework, followed by original research that contributes new knowledge to the field. Graduates must defend a dissertation before a panel of experts. Earning a PhD in Science prepares individuals for careers in academia, research, industry, and leadership roles within scientific organizations.

What are the key skills and qualifications needed to thrive as a PhD scientist?

To thrive as a PhD Scientist, you need advanced expertise in your scientific discipline, strong research skills, and a doctoral degree (PhD) in a relevant field. Familiarity with specialized laboratory equipment, data analysis software (such as R or Python), and publication processes is typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for presenting complex findings and collaborating with peers. These skills and qualifications are crucial for driving innovative research, producing publishable results, and contributing to scientific advancement.

What are the typical career advancement paths for someone with a PhD in science in academia and industry?

Individuals with a PhD in Science often start in postdoctoral or entry-level research positions, where they build specialized expertise and publish their findings. In academia, advancement typically involves progressing to assistant, associate, and full professor roles, with additional opportunities to lead research groups or departments. In industry, PhD holders can move into senior scientist, project manager, or R&D director roles, with the potential to transition into leadership, policy, or consulting positions. Building a strong professional network, publishing impactful research, and developing leadership skills are key to advancing in both sectors.

What is the difference between Phd Science vs Data Scientist?

AspectPhd ScienceData Scientist
Required CredentialsPhD in a scientific field, research experienceBachelor's or Master's in CS, stats, or related field; often a PhD preferred
Work EnvironmentResearch labs, academia, industry R&DTech companies, finance, healthcare, consulting
Industry UsageResearch roles, scientific analysis, product developmentData analysis, machine learning, predictive modeling

While both roles involve analytical skills and data handling, Phd Science focuses on scientific research and experimentation, often in academic or R&D settings. Data Scientists primarily analyze large datasets to inform business decisions and develop models in industry environments. The key difference lies in their application areas and typical work environments.

Is a PhD worth it in science?

A PhD in science is valuable for careers in research, academia, and specialized industry roles that require advanced expertise and critical thinking skills. However, it often involves several years of study and research, and job prospects can vary depending on the field and geographic location. The decision to pursue a PhD should consider personal career goals and the demand for advanced scientific skills in the job market.

What can a PhD in science get you?

A PhD in science can lead to careers in research, academia, industry, or government, often involving roles such as scientist, researcher, or professor. It demonstrates advanced expertise and critical thinking skills, and may require additional certifications or experience depending on the field and position.

What is the salary of a PhD scientist?

The salary of a PhD scientist varies depending on the industry, experience, and location, but typically ranges from $70,000 to over $120,000 annually. Advanced skills, research experience, and specialized knowledge can lead to higher compensation, especially in biotech, pharmaceuticals, or research institutions.

What jobs can I do with a PhD in science?

A PhD in science qualifies individuals for research scientist, university professor, laboratory manager, or scientific consultant roles. These positions often require strong analytical skills, familiarity with laboratory tools, and the ability to conduct independent research or teach at higher education institutions.

What job categories do people searching Phd Science jobs in Toronto, ON look for?

The top searched job categories for Phd Science jobs in Toronto, ON are:

Phd Science jobs near you
Infographic showing various Phd Science job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

ML Research Scientist - PhD

Mercor

Toronto, ON • Remote

CA$110 - CA$145/hr

Full-time

Posted 8 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: ML Research PhD Experts (ICML / NeurIPS / ICLR Publications)
Type: Contract
Compensation: $110–$145/hour
Location: Remote

Role Responsibilities

  • Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs.
  • Review complex machine learning research for alignment with domain principles and methodologies.
  • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
  • Develop evaluation rubrics and benchmarks for assessing AI-generated tasks and solutions.
  • Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • PhD in Machine Learning, Computer Science, AI, or a closely related field.
  • Published at least one main conference paper at ICML, NeurIPS, or ICLR.
  • Strong preference for candidates with 2+ publications at these venues.
  • Demonstrated experience conducting original ML research.

Preferred

  • Expertise in Reinforcement Learning (RL).
  • Experience with Meta-Learning.
  • Knowledge of Recursive Self-Improvement.
  • Familiarity with AI for Science (e.g., weather forecasting, protein modeling, scientific discovery).

Start Date

  • Urgent; initial data/results expected Monday / Tuesday 27th July.

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.