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Statistical Programmer Jobs in Ontario (NOW HIRING)

Plan, implement, and oversee all aspects of the Statistical Process Control program. Conduct audits ... College diploma in Engineering, Mathematics, Science, or a related technical field. * Advanced ...

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 ...

Strong knowledge of quantitative concepts, including applied statistics * Experience using ... Python programming, algorithm design, and financial model development. Proficient in utilizing ...

New

QMS Engineer

Burlington, ON · On-site

CA$82K - CA$92K/yr

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

Apply statistical analysis, statistical process control, and data analytics to optimize process ... quality, and engineering WHO YOU ARE * 5+ years in a process, manufacturing, or materials ...

Through our robust product engineering, outstanding tooling capabilities and diverse process ... Strong knowledge and practical experience with statistical analyses (descriptive, inferential)

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 ...

Showing results 41-60

Statistical Programmer information

See Ontario salary details

$34

$62

$87

How much do statistical programmer jobs pay per hour?

As of Sep 14, 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 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 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 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 September 2026, with employment types broken down into 2% Internship, 67% Full Time, 20% Part Time, and 11% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $130,270 per year, or $62.6 per hour.

Quality Engineer

Collingwood, ON

Full-time

Re-posted 2 days ago


Job description

Essential Functions: 
 

  • SPC Program Management: 
    Plan, implement, and oversee all aspects of the Statistical Process Control program. Conduct audits and upgrade existing systems while developing new SPC initiatives to eliminate waste, enhance productivity, and improve product quality. 
  • Root Cause Analysis & Problem-Solving: 
    Champion the use of structured problem-solving tools (8D, 5-Why, Fishbone, etc.) and coordinate SPC verification to support both internal and external quality requirements. 
  • Training & Development: 
    Lead and maintain an ongoing training program on SPC techniques for production and quality staff. Deliver refresher sessions and advanced workshops to ensure team proficiency in quality tools and statistical methods. 
  • Nonconformance & Corrective Action: 
    Identify, document, and address product and process nonconformities. Initiate and recommend corrective actions, verify implementation, and control the flow of nonconforming product to prevent recurrence. 
  • FMEA & Documentation Updates: 
    Regularly update PFMEA documents and control plans in response to corrective actions or process changes. Ensure that quality documentation remains current, accurate, and audit-ready. 
  • Customer Focus: 
    Act as a quality liaison by visiting customers to investigate issues, validate corrective actions, and promote a proactive quality culture. Ensure all internal and external complaints are addressed effectively and promptly. 
  • Audit & Compliance: 
    Conduct audits of corrective actions and ensure compliance across all shifts. Monitor adherence to the company’s environmental and quality management systems. 
  • Quality Improvement Planning: 
    Maintain and update the Quality Improvement Plan to support continuous improvement, product consistency, and customer satisfaction. 
  • Adherence to NSG/Pilkington Standards of Business Conduct and its Values and Principles. 
  • Other duties as assigned by manager. 

Top 3 Competencies Needed for Success in the Role: 
 

  • Customer Focused: Ensures that customer solutions, practices and procedures are designed and implemented to assure customer satisfaction.  
  • Innovation & Change: Inspires and generates innovative ideas and solutions to enhance business results.  
  • Strategic Thinking: Recognizes underlying patterns and trends both locally and globally that impact the business and strategic priorities.  

Qualifications Required: 
 

  • College diploma in Engineering, Mathematics, Science, or a related technical field. 
  • Advanced knowledge of Statistical Process Control (SPC) and Process Control Plan development. 
  • Strong ability to interpret technical drawings and engineering specifications. 
  • Proven instructional and communication skills, with the ability to lead quality teams and investigations. 
  • Demonstrated experience in developing quality documentation such as PFMEAs, control plans, and process flows. 
  • Proficient in Microsoft Office and statistical software (e.g., Minitab). 

Qualifications Desired: 
 

  • University degree or better in Engineering or a related discipline. 
  • Six Sigma Green Belt or equivalent certification. 
  • Experience in the automotive or manufacturing sector, preferably in glass or related materials. 
  • Familiarity with IATF 16949 and ISO 9001 standards. 

Other Requirements: 
 

  • Detail-oriented: Capable of carrying out a given task with all the details needed to get the task done well. 
  • Team player: Works well as a member of a group. 
  • Dedicated: Devoted to a task or purpose with loyalty or integrity. 
  • Self-starter: Inspired to perform without outside help. 
  • Growth opportunities: Inspired to perform well by the chance to take on more responsibility 
  • Goal completion: Inspired to perform well by the completion of tasks