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Phd Statistics Jobs in Quebec (NOW HIRING)

Micro1

Remote Statistics Expert (PhD)

Sainte-therese, QC · Remote

Statistics Expert (PhD) $90 - $120/hourpay Required Skills statistics PhD statistical approach advanced data analysis MySQL About micro1 micro1 is the leading AI data lab for training frontier models ...

New

Micro1

Remote Statistics Expert (PhD)

Les Coteaux, QC · Remote

Statistics Expert (PhD) $90 - $120/hourpay Required Skills statistics PhD statistical approach advanced data analysis MySQL About micro1 micro1 is the leading AI data lab for training frontier models ...

New

Micro1

Remote Statistics Expert (PhD)

Quebec, QC · Remote

Statistics Expert (PhD) $90 - $120/hourpay Required Skills statistics PhD statistical approach advanced data analysis MySQL About micro1 micro1 is the leading AI data lab for training frontier models ...

New

Micro1

Remote Statistics Expert (PhD)

Boucherville, QC · Remote

Statistics Expert (PhD) $90 - $120/hourpay Required Skills statistics PhD statistical approach advanced data analysis MySQL About micro1 micro1 is the leading AI data lab for training frontier models ...

New

Micro1

Remote Statistics Expert (PhD)

QC · Remote

Statistics Expert (PhD) $90 - $120/hourpay Required Skills statistics PhD statistical approach advanced data analysis MySQL About micro1 micro1 is the leading AI data lab for training frontier models ...

New

Micro1

Remote Physics Expert (PhD / Postdoc)

Levis, QC · Remote

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

Targeted Talent

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 ...

Targeted Talent

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 ...

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All JobsPhd Statistics JobsPhd Statistics Jobs in Quebec

Phd Statistics information

See Quebec salary details

$23.5K

$92.9K

$172K

How much do phd statistics jobs pay per year?

As of Jul 17, 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:
Phd Statistics jobs near you
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 Statistics Expert (PhD)

Remote Statistics Expert (PhD)

Micro1

Sainte-therese, QC • Remote

Full-time

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

Job description

Statistics Expert (PhD)
$90 - $120/hourpay
Required Skills
statistics
PhD
statistical approach
advanced data analysis
MySQL
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: Statistics Expert (PhD)


Role Type: Contractor


Location: Remote


micro1 is engaging Statistics Experts (PhD) to contribute their advanced subject-matter expertise to a customer's AI training initiative. 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. Produce authoritative, accurate, and well-explained responses to advanced statistics queries aimed at improving AI model performance, emphasizing clarity and depth over score-based metrics.
  2. Review and evaluate statistics data, queries, and solutions to ensure accuracy, completeness, and alignment with current best practices.
  3. Develop comprehensive explanations and justifications across both foundational and specialized statistics concepts, tailored for a range of technical backgrounds.
  4. Collaborate with annotation leads and project managers to refine project requirements and maintain high standards for response quality.
  5. Create exemplary "golden responses" that serve as benchmarks for future AI model outputs, ensuring reliability and consistency in training datasets.
  6. Document the context and rationale behind answers to enhance model interpretability and facilitate future annotation efforts.
  7. Participate in remote discussions or workshops to clarify objectives and maintain alignment within the contributor community.


Preferred Qualifications

  1. PhD in Statistics or a closely related field with demonstrated expertise in both core and advanced statistical topics.
  2. Exceptional written and verbal communication skills, with proven ability to convey complex statistical concepts with precision.
  3. Experience creating, reviewing, or publishing scientific, technical, or educational materials in statistics (e.g., research articles, curricula, industry reports, peer reviews).
  4. Familiarity across various sub-disciplines of statistics, such as probability theory, statistical inference, Bayesian methods, biostatistics, experimental design, or computational statistics.
  5. Strong attention to analytical detail and a commitment to methodological rigor.
  6. Experience with MySQL and advanced data analysis techniques.
  7. Background in AI, data annotation, or digital content development projects is a plus, though not required.
  8. Demonstrated ability to collaborate effectively in remote and cross-functional project environments.

Apply