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Senior Statistical Programmer Jobs in Quebec (NOW HIRING)

... for a Senior AI/ML Developer to design, build, and deploy production-ready AI solutions that ... Graduate degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related ...

Engineer advanced features including promotions, seasonality, holidays, stockouts, lag variables ... Design and execute model experiments, hypothesis testing, oracle testing, and statistical ...

What you'll do As a Senior Lab Analyst, you'll support scientists and engineers by executing ... Knowledge of Design of Experiments (DOE) and statistical analysis is an asset. Why join us? This is ...

Work with engineers to create data tracking framework * Provide data visualization using specified ... Perform data analysis and create arguments based on statistical data * Discover useful information ...

A master's degree in a relevant field (mathematics, science, engineering, operations research, economics, statistics, AI, computer science, or a related discipline), or an equivalent combination of ...

Overview of the Role The Data & Analytics Crew Lead (Senior Director) occupies a hybrid leadership ... Statistics, Information Systems, or Engineering); Master's degree or MBA is a strong asset.

... Statistics, Information Technology or a related discipline AND some years of experience in data ... programming language or equivalent software for data analysis In providing advice and ...

$145 - $165/hr

Manage engineering timelines and milestones to ensure customer NPI builds are delivered on schedule ... Strong background in statistical process control (SPC) and data analysis. Preferred Assets

Showing results 21-40

Senior Statistical Programmer information

See Quebec salary details

$82K

$118.7K

$159K

How much do senior statistical programmer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior statistical programmer in Quebec is $118,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a senior statistical programmer?

A Senior Statistical Programmer is responsible for developing, testing, and validating statistical programs used for clinical trial data analysis. They work primarily with statistical software like SAS to generate tables, listings, and figures (TLFs) for regulatory submissions and research studies. This role requires strong programming skills, knowledge of statistical methodologies, and an understanding of clinical trial processes. Senior Statistical Programmers also collaborate with statisticians, data managers, and regulatory teams to ensure data integrity and compliance with industry standards.

What are the typical responsibilities and team dynamics for a senior statistical programmer?

As a Senior Statistical Programmer, you will typically be responsible for designing, developing, and validating statistical programs for clinical trial data analysis and reporting. You’ll work closely with biostatisticians, data managers, and clinical project teams to ensure data quality and regulatory compliance, often contributing to the creation of submission datasets and study reports. The role usually involves both independent work and active collaboration, with seasoned programmers frequently mentoring junior staff and participating in process improvement initiatives. This team-oriented structure offers exposure to a variety of projects and stakeholders, making it a dynamic environment ideal for those who enjoy both analytical tasks and cross-functional teamwork.

What are the key skills and qualifications needed to thrive as a senior statistical programmer, and why are they important?

To thrive as a Senior Statistical Programmer, a strong background in statistical analysis, programming (often in SAS and R), and a relevant degree such as in statistics, mathematics, or computer science is essential. Experience with regulatory submission standards (like CDISC SDTM/ADaM), clinical trial software, and certifications such as SAS Certified Advanced Programmer are highly valued. Outstanding attention to detail, problem-solving abilities, and effective communication skills help individuals excel in this collaborative and deadline-driven role. These skills are crucial for ensuring accurate data analysis, regulatory compliance, and successful teamwork in high-stakes research environments.

What are popular job titles related to Senior Statistical Programmer jobs in Quebec?

For Senior Statistical Programmer jobs in Quebec, the most frequently searched job titles are:

What cities in Quebec are hiring for Senior Statistical Programmer jobs?

Cities in Quebec with the most Senior Statistical Programmer job openings:

Infographic showing various Senior Statistical Programmer job openings in Quebec as of August 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 100% In-person job distribution, with an average salary of $118,670 per year, or $57.1 per hour.

Data Scientist, Data Science and Artificial Intelligence (Temporary - 18 months)

PSP Investments

Montreal, QC • Hybrid

Full-time

Retirement, PTO

Posted 10 days ago


Job description

ABOUT US

We're one of Canada's largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026.


We invest funds for thepension plans of thefederalpublicservice, the Canadian Forces, theRoyal Canadian Mounted Police andthe ReserveForce. Headquartered in Ottawa, PSP Investments has its principal business office in Montreal and offices in New York, London and Hong Kong.


Capturing and leading complex global investments requires us to work as one to seize valuable opportunities, in close collaboration with some of the world's top companies. At PSP Investments, you'll join a team of motivated and engaged professionals, dedicated to propelling our organization further than ever before.


ABOUT YOUR ROLE

As a Data Scientist, Data Science and Artificial Intelligence, you will play a hands-on role in harnessing data science to facilitate the generation of alpha for PSP. To this end, you will:

  • Work within a ten-person team, Alpha Science, dedicated to supporting investment decisions with AI across the whole pension fund and associated entities

  • Source, build, clean, and maintain datasets that feed Alpha Science's analyses and tools, including market data, alternative data (geolocation, foot traffic, satellite, pricing) and portfolio company data

  • Design and build data extraction and processing pipelines that turn raw, often messy sources, including documents, filings, and vendor feeds, into analysis-ready datasets

  • Conduct hands-on analysis and statistical / ML modeling to draw out insights that help deal teams pressure-test, challenge, or validate their investment theses

  • Partner with senior team members to turn ad-hoc analyses into dashboards, visualizations, and reusable tools for deal teams across PSP's asset classes

  • Develop a working knowledge of the sectors and datasets within your coverage, building the judgment to identify the questions and analyses most relevant to deal teams' decision-making

  • Prepare clear, well-structured materials that tell a compelling story with the data for both technical and non-technical stakeholders

  • Support senior team members in presenting findings directly to deal teams and, where relevant, portfolio company management

  • Contribute to and leverage the team's broader toolkit, including its LLM-powered tools, as relevant to the projects you're working on

  • Take ownership of discrete analyses and projects end-to-end, from data sourcing through to the final stakeholder-ready output

WHAT YOU'LL NEED
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or any equivalent quantitative degree from a recognized university

  • Two to three (2-3) years of experience in data science, data engineering, or quantitative analytics, ideally within financial services, investing, or another analytically intensive environment

  • Strong hands-on proficiency in Python and SQL for data extraction, ingestion, wrangling, analysis, and modeling

  • Experience extracting and structuring data from varied sources (documents, filings, APIs, vendor feeds) is a strong asset

  • Experience working with cloud / lakehouse data platforms (e.g., Databricks, Snowflake) is an asset

  • Practical experience applying statistical or machine learning techniques to real-world, often messy datasets

  • Experience building dashboards or visualizations (e.g., Power BI, Tableau, or Python-based visualization libraries)

  • Experience working with alternative or unconventional datasets (e.g., geolocation, foot traffic, satellite, or pricing data) is an asset

  • Prior exposure to investment, and deals in Public Markets, Real Estate or Natural Resources is an asset

  • Resourceful and creative, with demonstrated ability to work in a fast-paced environment with shifting priorities

  • Highly effective written and verbal communication

  • Proficiency in English and French (or willingness to learn) (frequent interactions in English with PSP employees based in our offices in Hong Kong, London and New York, and interactions in French with employees in our local offices in Montreal and Ottawa)


We offer a tailored employee experience and competitive total rewards and benefits package* designed to attract and retain global diverse talent, reward performance, and reinforce business strategies and priorities. Beyond salary and incentive pay eligibility, you have access to:

  • Investment in career development
  • Comprehensive group insurance plans
  • Competitive pension plans
  • Unlimited access to virtual healthcare services and wellness programs
  • Gender-inclusive paid family leave policy: up to 26 weeks for primary caregivers, 5 weeks for secondary caregivers
  • A personalized family-building support, from pre-pregnancy to menopause, with available financial assistance
  • Vacation days available on day one with additional days on milestone service anniversaries, and summer Friday afternoons off
  • A hybrid work model that includes four in-office days, Monday through Thursday
  • The opportunity to work temporarily from another location in accordance with the applicable policy

*Benefits package may vary based on your employee type.



At PSP Investments, we aim to provide a workplace where everyone feels valued, safe, respected and empowered to grow. As part of this leadership commitment, we strongly encourage applications from all qualified applicants and strive to offer an inclusive and accessible candidate experience. If you require any accommodation for any part of the recruitment process, please let us know.


Visit us on www.investpsp.com/en/

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