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Statistical Programmer Jobs in Ontario (NOW HIRING)

Junior SQL Developer

Toronto, ON · On-site

CA$80K - CA$100K/yr

Post-secondary education in Computer Science, Data/Information Systems, Mathematics/Statistics, Engineering, or a related field - or equivalent practical experience Salary Range: $80,000 - $100,000 ...

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make ...

Statistics is your strong suit. You have a strong command of machine learning, data science and software engineering. You're analytical, a problem-solver, detail-oriented and enjoy working in a high ...

A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

Statistics is your strong suit. You have a strong command of machine learning, data science and software engineering. You're analytical, a problem-solver, detail-oriented and enjoy working in a high ...

The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and ... Understanding oflarge database mining tools and statistical languagesutilizedto efficiently build ...

The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and ... Understanding oflarge database mining tools and statistical languagesutilizedto efficiently build ...

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Use programming languages (Python, Pyspark, SQL) to extract and prepare data, apply statistics and various advanced analytics along with business acumen to inform recommendations and insights from ...

This is a high-ownership role at the intersection of data engineering, applied statistics, and production AI. You'll operate as a senior individual contributor with end-to-end responsibility across ...

This is a high\-ownership role at the intersection of data engineering, applied statistics, and production AI. You'll operate as a senior individual contributor with end\-to\-end responsibility ...

Work at the intersection of large-scale data engineering, statistical modelling, and cutting-edge AI, building the infrastructure that powers operational efficiency and financial forecasting across ...

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Statistical Programmer information

See Ontario salary details

$34

$62

$87

How much do statistical programmer jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for statistical programmer in Ontario is $62.63, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $73.56 per hour, depending on experience, location, and employer.

What are statistical programmers?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What is the average salary for a SAS programmer?

The average salary for a SAS programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Skilled programmers with certifications and knowledge of data analysis tools may earn higher salaries, especially in healthcare, pharmaceuticals, or finance sectors.

What Does a Statistical Programmer Do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

What are some common challenges faced by Statistical Programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

How hard is it to get a job at SAS?

Securing a statistical programmer position at SAS typically requires relevant experience with SAS software, programming skills, and a strong understanding of data analysis. Competition can be high, and candidates often need a bachelor's degree in a related field, along with certifications or demonstrated proficiency in statistical programming. Familiarity with industry standards and the ability to work in a team environment also improve chances of employment.

What does a statistical programmer do?

A statistical programmer develops and maintains code to analyze clinical trial data, often using programming languages like SAS, R, or Python. They prepare datasets, generate reports, and ensure data accuracy for regulatory submissions in the pharmaceutical and healthcare industries.

Is SAS programming in demand?

SAS programming is in high demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory compliance are critical. Skilled SAS programmers with knowledge of data management, statistical analysis, and certifications often find strong job opportunities and competitive salaries.

What are the key skills and qualifications needed to thrive as a Statistical Programmer, and why are they important?

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

What are the most commonly searched types of Statistical Programmer jobs in Ontario? The most popular types of Statistical Programmer jobs in Ontario are:
What are popular job titles related to Statistical Programmer jobs in Ontario? For Statistical Programmer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Ontario look for? The top searched job categories for Statistical Programmer jobs in Ontario are:
Infographic showing various Statistical Programmer job openings in Ontario as of July 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $130,270 per year, or $62.6 per hour.

Full-time

Retirement

Re-posted 3 days ago


Job description

What you'll do

The Senior Data Scientist role provides analytical and technical support in the scope of executing targeted campaigns for our customers. The Senior Data Scientist will be the subject matter expert in combining customer-related data sources, collaborating with teams that produce customer insights, deploying data to execution platforms, and measuring lift in campaigns.The dynamic environment requires individuals with a cross functional background, excellent organizational skills, experience working in an agile project environment, advanced analytical ability, strong communication skills to deal effectively with stakeholders and the ability to work effectively in a team as well as independently. Statistics is your strong suit. You have a strong command of machine learning, data science and software engineering. You're analytical, a problem-solver, detail-oriented and enjoy working in a high-volume work environment. You're ambitious, balance technical and business acumen to offer strategic counsel to senior leadership and stakeholders. Thriving in a fast-paced environment, you network on all levels and work with an 'automate first' mindset to continuously strive towards efficiency.

  • Partner with business stakeholders to ingest and utilize new data sources as they become available, provide ad hoc business reporting and analysis as requested

  • Work hand-to-hand with stakeholders to understand business problems, developing data-driven solutions to overcome these problems ultimately adding tangible business value

  • Provide insights and analytics on customer segments that influence test designs and hypotheses. For example, you may identify that for a target segment X, they over-index on attribute Y which may be important to include in the creative for campaign Z.

  • Measure post-campaign performance of campaigns, identify potential opportunities, and report on statistical significance. For example, using sales data, measure whether the campaign exposed group spent significantly more than the control group and report the relevant p-values.

  • Write queries that efficiently and accurately integrate customer data from a variety of organizational systems.

  • Ensure generated insights meet standards of analytical and statistical rigour, highlighting gaps where necessary.

  • Provide mentorship to team members on data, code, and data science best practices

  • Lead the creation of efficient, cost-effective high-availability pipelines.

  • Provide ad hoc analytics and recommendations for action as needed.

What you bring

  • M.S degree in Statistics, Engineering, Computer Science or a related field

  • 3+ years of relevant work experience

  • Experience with data science disciplines, including hypothesis testing, statistical modeling, machine learning, recommendation systems, artificial intelligence, cognitive science, deep learning, etc.

  • In-depth experience with Python, SQL

  • Experience using advanced tools such as Hadoop, HIVE etc. and working knowledge with relational and non-relational modeling, database applications and integrations, ETL tools, client/server solutions, and modern query languages

  • Experience with cloud (e.g. AWS, Azure and GCP) and industry standard data warehousing technologies (Cloudera, Snowflake, etc.)

  • Experience in working with Big Data technologies (e.g. Hadoop, HIVE, Spark)

  • Project management, team mentorship and leadership qualities

  • Data intelligence and visualization platforms such as Looker, Google Data Studio, Tableau or other similar tools is preferred

  • MLOps experience is preferred

This posting represents an existing vacancy within our organization.


We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.

About Us

Canadian Tire Corporation, Limited ("CTC") is one of Canada's most admired and trusted companies.With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.

Our Commitment to Diversity, Inclusion and Belonging

We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

Accommodations

We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.