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Statistical Programmer Jobs in Ontario (NOW HIRING)

Calliere

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 ...

Themis

Machine Learning Engineer

Mississauga, ON

CA$85K - CA$135K/yr

A Bachelor's degree in Computer Science, Mathematics, Engineering, Statistics, or a related technical field, or equivalent practical experience building and deploying production ML systems * 3+ years ...

Semtech

QMS Engineer

Burlington, ON · On-site

CA$98K - CA$110K/yr

Familiarity with statistical and quality methodologies including Statistical Process Control (SPC ... ASQ Certified Quality Engineer (CQE), Certified Quality Auditor (CQA), or equivalent SQA ...

GFL Environmental

Senior Data Engineer

Vaughan, ON

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 ...

Rivalry

Prototyping concepts as a part of idea exploration Your stats: * 5+ years of engineering experience in the software industry as an developer/architect/engineer with a distinguished track record of ...

Rivalry

Prototyping concepts as a part of idea exploration Your stats: * 5+ years of engineering experience in the software industry as an developer/architect/engineer with a distinguished track record of ...

Rivalry

Prototyping concepts as a part of idea exploration Your stats: * 5+ years of engineering experience in the software industry as an developer/architect/engineer with a distinguished track record of ...

Linamar

Engineer - Process

Guelph, ON

Engineer - Process Job Summary Responsible for determining the operations required for fabrication ... Ability to collect data and develop statistics to describe equipment and system functionality.

Linamar

Engineer - Process

Guelph, ON

Engineer - Process Job Summary Responsible for determining the operations required for fabrication ... Ability to collect data and develop statistics to describe equipment and system functionality.

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Ontario

Statistical Programmer information

See Ontario salary details

$34

$62

$87

How much do statistical programmer jobs pay per hour?

As of Aug 9, 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 is a statistical programmer?

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 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.

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.

More about Statistical Programmer jobs
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:
What are popular job titles related to Statistical Programmer jobs in ON? For Statistical Programmer jobs in ON, the most frequently searched job titles are:
Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Ontario as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% In-person job distribution, with an average salary of $130,270 per year, or $62.6 per hour.

Senior Data Engineer (Streaming + AI Systems)

Calliere

On-site

Full-time

Re-posted 19 days ago

Job description

\n <\/head>\n \n

We're partnered with a capital\-backed operator in the industrial \/ infrastructure space that's investing heavily in building a modern data platform from the ground up. They're hiring a Senior Data Engineer to lead the design and evolution of real\-time data systems and scalable architecture supporting both operational intelligence and predictive modelling.
<\/p>

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 pipelines, platform design, and ML enablement.
<\/p>Why This Role Is Compelling
<\/h2>\n

    \n

  • True ownership of the data platform: architecture, pipelines, and production ML systems.
    <\/p><\/li>\n

  • Direct impact on operational performance and financial strategy, not just analytics.
    <\/p><\/li>\n

  • Senior\-level autonomy with influence over technical direction and tooling choices.
    <\/p><\/li>\n

  • Lean, execution\-focused team where senior engineers build and ship complete systems.
    <\/p><\/li>\n

  • Long\-term stability paired with a builder environment and modern stack.
    <\/p><\/li>\n <\/ul>Scope and Responsibilities
    <\/h2>\n

      \n

    • Architect and operate real\-time and batch data pipelines (Kafka, Spark, AWS ecosystem).
      <\/p><\/li>\n

    • Lead the evolution of a scalable lakehouse architecture for analytics and ML workloads.
      <\/p><\/li>\n

    • Design and productionize end\-to\-end ML pipelines, including feature engineering and real\-time inference.
      <\/p><\/li>\n

    • Apply statistical methods (time\-series, regression, anomaly detection) to high\-impact business problems.
      <\/p><\/li>\n

    • Partner with stakeholders across operations, finance, and product to translate complex requirements into robust systems.
      <\/p><\/li>\n

    • Own infrastructure design using IaC (Terraform or equivalent) to ensure reproducibility and scale.
      <\/p><\/li>\n

    • Drive performance, reliability, and observability across data systems.
      <\/p><\/li>\n

    • Evaluate and introduce new tools and patterns across data engineering and applied AI.
      <\/p><\/li>\n <\/ul>\n

      \n
      \n <\/div><\/span>
      Requirements<\/h3>Tech Environment
      <\/h2>\n
        \n

      • AWS (Glue, Lambda, ECS, S3, and related services)
        <\/p><\/li>\n

      • Apache Spark + lakehouse frameworks (Delta or equivalent)
        <\/p><\/li>\n

      • Kafka \/ streaming architectures
        <\/p><\/li>\n

      • Terraform (Infrastructure as Code)
        <\/p><\/li>\n <\/ul>What They're Looking For
        <\/h2>\n

          \n

        • Proven experience building and scaling data platforms in production environments.
          <\/p><\/li>\n

        • Deep expertise in streaming systems and distributed data processing.
          <\/p><\/li>\n

        • Strong system design skills with the ability to operate at both architecture and implementation levels.
          <\/p><\/li>\n

        • Experience owning ML\/data pipelines end\-to\-end, including production deployment.
          <\/p><\/li>\n

        • Solid grounding in statistical modelling and real\-world applications.
          <\/p><\/li>\n

        • A bias toward ownership, pragmatism, and building systems that actually get used.
          <\/p><\/li>\n <\/ul>\n

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          \n <\/body>\n<\/html>

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