1

Phd Statistics Jobs in Quebec (NOW HIRING)

CA$80 - CA$140/hr

Physics Expert (PhD / Postdoc) $80 - $140/hour pay Required Skills Physics Mastery Written ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

Physics Expert (PhD / Postdoc) $80 - $140/hourpay Required Skills Physics Mastery Written Technical ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

Data Scientist

Montreal, QC · On-site

$80K - $100K/yr

You Have: * A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and ...

You Have: * A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and ...

Master's degree in Electrical Engineering, Biomedical Engineering, or related field (or PhD) * Strong fundamentals in digital signal processing, statistical methods, and real-time systems * Deep ...

MSc and/or PhD are an asset. * Minimum of 2 years of experience in data science, machine learning and advanced statistics solving business problems. * Technical Skills: Proficiency in multiple ...

MSc and/or PhD are an asset. * Minimum of 2 years of experience in data science, machine learning and advanced statistics solving business problems. * Technical Skills: Proficiency in multiple ...

Advanced degree (MSc or PhD) in a quantitative field - statistics, mathematics, computer science, engineering, or equivalent; strong undergraduate candidates with exceptional experience will be ...

next page

Showing results 1-20

Phd Statistics information

See Quebec salary details

$23.5K

$92.9K

$172K

How much do phd statistics jobs pay per year?

As of Jul 16, 2026, the average yearly pay for phd statistics in Quebec is $92,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $121,500.00 per year, depending on experience, location, and employer.

What can I do with PhD in statistics?

A PhD in statistics prepares individuals for advanced roles such as data scientist, quantitative researcher, biostatistician, or statistical consultant. Graduates often work in academia, government agencies, healthcare, finance, or technology sectors, utilizing skills in data analysis, modeling, and programming tools like R or Python.

What are the typical projects or research areas for someone with a PhD in Statistics?

A PhD in Statistics often works on projects involving the design and analysis of experiments, predictive modeling, advanced data analytics, and the development of new statistical methodologies. Depending on the industry, these may span sectors like healthcare, finance, technology, or government, requiring collaboration with diverse teams of subject matter experts. The role may also involve publishing research, presenting findings, and supporting organizational decision-making with evidence-based insights. This dynamic environment allows statisticians to solve real-world problems and continuously learn new analytical techniques.

Is getting a PhD in statistics worth it?

A PhD in statistics prepares individuals for advanced research, teaching, and data analysis roles that often require strong quantitative and programming skills. While it can lead to higher-level positions and increased earning potential, it also involves significant time and financial investment, and job prospects depend on industry demand and specialization.

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

To thrive as a PhD in Statistics, you need advanced knowledge of statistical theory, data analysis, and research methodologies, typically backed by a doctorate in statistics or a closely related field. Expertise with statistical software such as R, SAS, Python, or MATLAB, along with experience in data management systems, is crucial. Strong problem-solving abilities, clear communication, and the capacity to work both independently and as part of interdisciplinary teams are highly valued soft skills. These qualities enable you to devise rigorous solutions to complex data challenges, effectively collaborate with colleagues, and translate findings for stakeholders.

Are statisticians highly paid?

Statisticians with a PhD often earn higher salaries due to advanced expertise and specialized skills in data analysis, modeling, and statistical software. Salaries vary by industry, experience, and location but generally tend to be above average compared to other roles in data-related fields.

How much does a PhD statistician make?

A PhD statistician typically earns between $80,000 and $150,000 annually, depending on experience, industry, and location. Senior roles or positions in finance, technology, or healthcare can offer higher salaries, often exceeding $150,000. Advanced skills in statistical software and data analysis increase earning potential.

What is a PhD Statistics job?

A PhD Statistics job typically involves conducting advanced statistical research, developing new methodologies, and applying statistical techniques to solve complex problems in various fields such as healthcare, finance, or technology. Professionals in these roles may work in academia, government, or industry, analyzing data, designing experiments, and publishing findings. They often collaborate with interdisciplinary teams to extract insights from large datasets and improve decision-making processes.

What job categories do people searching Phd Statistics jobs in Quebec look for? The top searched job categories for Phd Statistics jobs in Quebec are:
Infographic showing various Phd Statistics job openings in Quebec as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $92,874 per year, or $44.7 per hour.
Remote Physics Expert (PhD / Postdoc)

Remote Physics Expert (PhD / Postdoc)

Micro1

Remote

CA$80 - CA$140/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Physics Expert (PhD / Postdoc)

$80 - $140/hour pay

Required Skills

Physics Mastery

Written Technical Communication

Technical Problem-Solving Depth

Mathematical & Computational 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 (PhD / Postdoc)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. 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. Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
  2. Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
  3. Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
  4. Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
  5. Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
  6. Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
  7. Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.


Preferred Qualifications

  1. PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
  2. Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  3. 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
  4. Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
  5. Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
  6. Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
  7. Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).