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Computational Modeling Jobs in Quebec (NOW HIRING)

Micro1

Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation. * Demonstrated skill in reviewing the work of others--through peer review ...

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Computational Modeling information

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$29.5K

$111.9K

$194.5K

How much do computational modeling jobs pay per year?

As of Jul 23, 2026, the average yearly pay for computational modeling in Quebec is $111,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $137,500.00 per year, depending on experience, location, and employer.

What jobs in the US pay 300,000 a year?

In computational modeling, senior roles such as lead data scientist, quantitative analyst, or research scientist with extensive experience and advanced skills in programming, machine learning, and statistical analysis can reach or exceed a $300,000 annual salary. These positions often require advanced degrees, strong domain expertise, and may be found in finance, technology, or research institutions. Compensation varies based on industry, location, and level of responsibility.

What is a Computational Modeling job?

A Computational Modeling job involves developing and using mathematical models, simulations, and algorithms to analyze complex systems across various fields, such as engineering, physics, biology, and finance. Professionals in this role apply computational techniques to study real-world phenomena, predict outcomes, and optimize processes. They often work with programming languages, statistical methods, and high-performance computing to create accurate and efficient models.

Is 3D modeling a high paying job?

3D modeling can be a well-paying career, especially for experienced professionals working in industries like gaming, film, or product design. Salaries vary based on skill level, industry, location, and the complexity of projects, with advanced 3D modelers often earning higher wages and working with specialized software such as Blender or Maya.

What is the highest paying job in computational biology?

The highest paying roles in computational biology are often senior positions such as Director of Computational Biology or Principal Scientist, which can earn six-figure salaries. These roles typically require advanced degrees, extensive experience, and expertise in areas like machine learning, bioinformatics tools, and programming languages such as Python or R.

What are the key skills and qualifications needed to thrive in the Computational Modeling position, and why are they important?

To thrive in computational modeling, a strong background in mathematics, computer science, and domain-specific knowledge (such as engineering, physics, or biology) is essential, often supported by at least a bachelor's or master's degree in a related field. Familiarity with programming languages like Python, MATLAB, or R, as well as experience with simulation software and data analysis tools, is typically required. Strong problem-solving, analytical thinking, and effective communication skills set outstanding candidates apart. These abilities enable professionals to build accurate models, collaborate successfully with interdisciplinary teams, and translate complex results into actionable insights.

What does a typical day look like for someone working in computational modeling?

A typical day for a computational modeling professional often involves developing and refining mathematical or computer-based models, running simulations, and analyzing large datasets to draw meaningful conclusions. You’ll collaborate closely with domain experts, engineers, and researchers to ensure models accurately reflect real-world processes. The role may also involve presenting findings to stakeholders, troubleshooting code or software issues, and keeping up with new modeling techniques and industry advancements. This dynamic environment requires balancing independent problem-solving with teamwork and communication.

What is a computational modeler?

A computational modeler is a professional who develops and uses computer-based models to simulate complex systems or processes. They often work with programming languages, mathematical algorithms, and data analysis tools to create accurate representations for research, engineering, or scientific purposes.
What job categories do people searching Computational Modeling jobs in Quebec look for? The top searched job categories for Computational Modeling jobs in Quebec are:
Computational Modeling jobs near you
Infographic showing various Computational Modeling job openings in Quebec as of July 2026, with employment types broken down into 2% Internship, 74% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $111,911 per year, or $53.8 per hour.
Remote Physics Expert (Postdoc / Junior professor)

Remote Physics Expert (Postdoc / Junior professor)

Micro1

Cote Saint-luc, QC • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Physics Expert (Postdoc / Junior professor)
$80 - $150/hourpay
Required Skills
Physics Mastery
Written Technical Communication
Critical Evaluation & Error Detection
Calibrated Technical Judgment
Verification & Cross-Checking Fluency
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.

Apply