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Remote Computational Modeling Scientist Jobs in Ontario

Mercor

Computational Statistics Expert - PhD

Toronto, ON · Remote

CA$70 - CA$90/hr

Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ... scientific software packages . * Test and refine problems against state-of-the-art AI models to ...

Mercor

Computational Statistics Expert - PhD

Toronto, ON · Remote

CA$70 - CA$90/hr

Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ... scientific software packages . * Test and refine problems against state-of-the-art AI models to ...

Mercor

Computational Seismology Expert - PhD

Toronto, ON · On-site +1

CA$70 - CA$85/hr

Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ... Test and refine problems against state-of-the-art AI models to achieve target difficulty.

Mercor

Computational Statistics Expert - PhD

Toronto, ON · Remote

CA$70 - CA$90/hr

Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ... Test and refine problems against state-of-the-art AI models to achieve target difficulty. * Work ...

Mercor

ML Research Scientist - PhD

Toronto, ON · Remote

CA$60 - CA$100/hr

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... Work independently and asynchronously to meet deadlines while improving AI model performance

Mercor

ML Research Scientist - PhD

Toronto, ON · Remote

CA$110 - CA$145/hr

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... Work independently and asynchronously to meet deadlines while improving AI model performance

YO AI Labs

Hardware Expert - Remote

Toronto, ON · Remote

$50 - $100/hr

Global, Fully Remote Schedule: Flexible, ~15 hours/week Role Summary We are seeking skilled ... RTL * 3D Mechanical Modeling * Computational Geometry Qualifications * Strong experience with CAD ...

New

YO AI Labs

Hardware Expert - Remote

Ottawa, ON · Remote

$50 - $100/hr

Global, Fully Remote Schedule: Flexible, ~15 hours/week Role Summary We are seeking skilled ... RTL * 3D Mechanical Modeling * Computational Geometry Qualifications * Strong experience with CAD ...

New

M31 AI

Technical Research Assistant

Toronto, ON · On-site +1

CA$25 - CA$28/hr

... models. You'll be working with a diverse team of AI researchers, clinicians, and computational ... Work closely with data scientists and clinicians to ensure scientific and clinical relevance

Dialpad

Applied Scientist

Kitchener, ON · On-site +1

We are also developing real-time knowledge retrieval models to power live coaching features for ... Master's or PhD degree in Linguistics, Computational Linguistics, Computer Science, Machine ...

Dialpad

Applied Scientist

Kitchener, ON · On-site +1

We are also developing real-time knowledge retrieval models to power live coaching features for ... Master's or PhD degree in Linguistics, Computational Linguistics, Computer Science, Machine ...

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Remote Computational Modeling Scientist information

What is a remote computational modeling scientist?

A Remote Computational Modeling Scientist is a professional who uses advanced computer simulations and mathematical models to analyze complex systems or predict outcomes in fields such as physics, biology, chemistry, or engineering—all while working remotely. They design, develop, and implement computational models to solve scientific problems, often collaborating with research teams virtually. Their work helps organizations understand phenomena, optimize processes, and accelerate innovation without needing to be physically present in a traditional lab or office setting.

What are the key skills and qualifications needed to thrive as a remote computational modeling scientist?

To thrive as a Remote Computational Modeling Scientist, you need a strong background in mathematics, physics, or engineering, along with experience in computational modeling and a relevant advanced degree. Proficiency with programming languages (such as Python, MATLAB, or C++), simulation software, and version control systems is typically expected. Exceptional problem-solving abilities, self-motivation, and effective virtual communication are vital soft skills for remote collaboration and independent workflow. These competencies ensure accurate model development, efficient project delivery, and seamless teamwork across distributed environments.

How does a remote computational modeling scientist typically collaborate with cross-functional teams while working off-site?

As a Remote Computational Modeling Scientist, you’ll often work closely with multidisciplinary teams, including experimental scientists, data analysts, and software engineers. Collaboration usually takes place through virtual meetings, shared project management tools, and cloud-based data repositories, ensuring seamless communication despite geographical distance. Clear documentation, proactive updates, and flexible scheduling are key to overcoming the challenges of time zone differences and remote coordination. Building strong professional relationships and maintaining transparency help facilitate effective teamwork and project success.

What is the difference between Remote Computational Modeling Scientist vs Remote Data Scientist?

AspectRemote Computational Modeling ScientistRemote Data Scientist
Required CredentialsAdvanced degrees in computational science, physics, or related fields; programming skillsDegree in data science, statistics, or related fields; programming and analytical skills
Work EnvironmentResearch labs, tech companies, or industries requiring simulation and modelingBusiness, tech, healthcare, or finance sectors analyzing large datasets
Employer & Industry UsageResearch institutions, biotech, aerospace, and engineering firmsTech companies, finance, healthcare, marketing
Common Search & ComparisonYesNo

The Remote Computational Modeling Scientist focuses on developing and applying computational models to simulate complex systems, often requiring advanced scientific knowledge. In contrast, the Remote Data Scientist primarily analyzes large datasets to extract insights for business decisions. While both roles involve programming and data analysis, their core applications and industries differ significantly.

What job categories do people searching Remote Computational Modeling Scientist jobs in Ontario look for?

The top searched job categories for Remote Computational Modeling Scientist jobs in Ontario are:

What cities in Ontario are hiring for Remote Computational Modeling Scientist jobs?

Cities in Ontario with the most Remote Computational Modeling Scientist job openings:

Remote Computational Modeling Scientist jobs near you

Computational Statistics Expert - PhD

Mercor

Toronto, ON • Remote

CA$70 - CA$90/hr

Full-time

Posted 14 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: Computational Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab)
Type: Contract
Compensation: $70–$90/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI systems' ability to solve scientific and engineering tasks.
  • Develop problems requiring skilled use of specialized statistical, mathematical, or scientific software packages.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Collaborate with AI research teams to improve problem setups and solution validators.
  • Work independently in a Linux/terminal environment with remote compute sandboxes.

Qualifications

Must-Have

  • Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
  • Proven proficiency with at least one specialized statistical, mathematical, or scientific software package.
  • Strong Python skills.
  • Ability to work independently and refine problem designs based on feedback.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple computational domains or specialized software packages.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

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.