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Statistical Programmer Jobs in Ontario (NOW HIRING)

Themis

Machine Learning Engineer

Mississauga, ON · On-site

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 ...

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 · On-site

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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Statistical Programmer information

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$34

$62

$87

How much do statistical programmer jobs pay per hour?

As of Aug 10, 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.

Intermediate-Senior Pavement Engineer

Wood Plc

Cambridge, ON

Full-time

Re-posted 13 days ago

Job description

Overview / Responsibilities

Wood is seeking an Intermediate-Senior Pavement Engineer to join our specialty pavement consultancy based in the GTA, ideally in Burlington, Cambridge or Oakville, ON. We are seeking a motivated self-starter equally comfortable in a collaborative team setting, with considerable independence.

Key Responsibilities

  • Contributes technical specialization within Wood's pavement consultancy group
  • Provides advanced technical knowledge in pavement management and pavement engineering projects for provincial and local governments, and for industrial-commercial clients
  • Contributes to complex projects, and leads tasks or phases of large projects
  • Contributes to business development opportunities through technical proposal development, networking, specialized service offerings and with time, professional reputation
  • Contributes positively to a committed, professional team environment.
  • With time, develops as an expert resource working across the company
Skills / Qualifications
  • BSc or higher in Civil Engineering
  • Minimum 5 years of pavement engineering
  • Asphalt Concrete Pavement (ACP) structural designs
  • Portland Cement Concrete (PCC) structural designs
  • ACP and PCC mix design reviews
  • Pavement evaluation, preservation and rehabilitation
  • Knowledge of roadway or airport pavement research, management, evaluation, design, and /or construction is required
  • Excellent spreadsheet skills for engineering applications are required
  • Must pass drug screen, background check, and must have a satisfactory driving record in accordance with the Company's driving (MVR) policy

Desirable (not required) Qualifications:

  • Strong understanding of statistical principles
  • Falling Weight Deflectometer (FWD) analysis
  • Ground Penetrating Radar (GPR) analysis
  • Puts and roughness data (IRI, RUT) analysis
  • AASHTO Mechanistic Empirical design procedures
  • Experience developing statistical models and applying machine learning approaches
Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement (EEO)

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER

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