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Senior Statistical Programmer Jobs in Quebec (NOW HIRING)

... senior management. What you'll do: * Responsible for modeling complex analytics problems ... An undergraduate degree in Statistics, Mathematics, Computer Science, Economics, Engineering ...

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University degree in actuarial science, mathematics, statistics or finance * Continuing education ... VBA programming skills (asset) Soft Skills * Excellent organizational skills * Strong problem ...

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Senior Statistical Programmer information

See Quebec salary details

$82K

$118.7K

$159K

How much do senior statistical programmer jobs pay per year?

As of Sep 11, 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 1% Internship, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $118,670 per year, or $57.1 per hour.

Sr. Manager, AI, Innovation & Operation

Montreal, QC • On-site, Remote

McKesson
Health Care and Social Assistance • 10K+ employees

Full-time

Re-posted 5 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 212 frontline employees who took The Breakroom Quiz


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

About the Role

McKesson is seeking a Senior Manager, AI , Innovation & Operation to lead a high-impact analytics function focused on enterprise data, machine learning, generative AI, and executive-ready business insights. In this role, you will set analytics strategy, guide managers and teams, and deliver scalable solutions that improve decision-making, operational performance, and business outcomes.

This role is ideal for a hands-on data and AI leader with experience across the full machine learning lifecycle, modern cloud data platforms, and responsible AI governance. You will partner with business, technology, and executive stakeholders to shape analytics roadmaps, strengthen data practices, and accelerate adoption of advanced analytics, AI, and automation across the organization.

What You'll Do
  • Lead development and execution of analytics, AI, and data strategy aligned to enterprise priorities.
  • Manage analytics leaders and teams delivering forecasting, performance insights, machine learning models, and executive dashboards.
  • Oversee end-to-end delivery of complex, cross-functional data science, analytics, and AI initiatives.
  • Drive adoption of modern data and AI platforms, including Azure AI Foundry, Snowflake, Databricks, and related cloud technologies.
  • Guide teams through the full ML lifecycle, including exploration, feature engineering, model development, deployment, monitoring, and improvement.
  • Establish governance practices for data quality, model risk, responsible AI, regulatory compliance, DevOps, and operational controls.
  • Partner with business and technology leaders to prioritize investments, optimize tools, and mature analytics capabilities.
  • Build an inclusive, high-performing team culture through coaching, talent development, collaboration, and change leadership.
Basic Requirements
  • 9+ years of experience in analytics, data science, machine learning, AI, business intelligence, or a related field, including people leadership or management experience.
  • Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Analytics, Information Systems, or equivalent experience.
  • Hands-on experience with modern data and AI stacks, including cloud platforms, data engineering, analytics, and AI/ML tools.
  • Experience leading teams through the full machine learning lifecycle from use case definition through production deployment and monitoring.
  • Experience with at least one major enterprise data or AI platform such as Azure AI Foundry, Snowflake, Databricks, Azure ML, or similar technologies.
  • Demonstrated experience leading complex analytics, AI, data platform, or enterprise reporting initiatives.
  • Strong communication skills with experience translating technical insights into executive-level recommendations.
  • Experience establishing or operating data governance, model governance, DevOps, or compliance practices.
Preferred Skills/Experience
  • Experience with generative AI architectures, large language models, retrieval-augmented generation, prompt engineering, or AI solution design.
  • Experience leading AI/ML programs in regulated, healthcare, supply chain, distribution, or enterprise technology environments.
  • Familiarity with MLOps, CI/CD, model monitoring, data observability, and production AI operating models.
  • Experience managing budgets, vendor relationships, technology investments, or analytics platform roadmaps.
  • Experience building executive dashboards and analytics products using tools such as Power BI, Tableau, or similar platforms.
  • Ability to influence cross-functional stakeholders and drive adoption of new analytics, AI, and governance practices.
  • Demonstrated commitment to inclusive leadership, coaching, and talent development.
Travel / Work Environment / Physical Requirements
  • Work model may be remote, hybrid, or office-based depending on business and team needs.
  • Occasional travel may be required for team, stakeholder, or business meetings.
  • Role requires regular use of a computer and collaboration tools for extended periods

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$102,500 - $136,700

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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