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Statistical Programmer Jobs in Ontario (NOW HIRING)

Premier Research is looking for a Director, Statistical Programming Innovation to join our Biostatistics team. You will help biotech, medtech, and specialty pharma companies transform life-changing ...

Premier Research is looking for a Statistical Scientist Director to join our Biostatistics team ... Strong computer skills, with knowledge of advanced programming skills with standard software ...

Carry out statistical analyses and provide direction to programmers, using standard software packages to interpret and translate results within a statistical framework into biomedical terms and ...

Carry out statistical analyses and provide direction to programmers, using standard software packages to interpret and translate results within a statistical framework into biomedical terms and ...

Carry out statistical analyses and provide direction to programmers, using standard software packages to interpret and translate results within a statistical framework into biomedical terms and ...

Carry out statistical analyses and provide direction to programmers, using standard software packages to interpret and translate results within a statistical framework into biomedical terms and ...

Carry out statistical analyses and provide direction to programmers, using standard software packages to interpret and translate results within a statistical framework into biomedical terms and ...

Carry out statistical analyses and provide direction to programmers, using standard software packages to interpret and translate results within a statistical framework into biomedical terms and ...

Premier Research is looking for a Senior R Programmer/ Shiny Developer to join our Biostatistics ... Creates user-friendly applications for statistical review, data exploration, quality control, and ...

... Looker Statistical Programming Solid working knowledge of Python specifically Pandas NumPy or R for data manipulation and statistical analysis Spreadsheets Advanced Excel or Google Sheets skills ...

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

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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 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.

Director, Statistical Programming Innovation

Premier Research
Biotechnology Research and Development • 1 - 5K employees

Full-time

Posted 10 days ago


Job description

Premier Research is looking for a Director, Statistical Programming Innovation to join our Biostatistics team.

You will help biotech, medtech, and specialty pharma companies transform life-changing ideas and breakthrough science into new medicines, devices, and diagnostics. What we do is profoundly connected to saving and improving lives, and we recognize our team members are the most valuable asset in delivering success.

  • We are here to help you grow, to give you the skills and opportunities to excel at work with the flexibility and balance your life requires.

  • Your ideas influence the way we work, and your voice matters here.

  • As an essential part of our team, you help us deliver the medical innovation that patients are desperate for.

Join us and build your future here.

What you'll be doing:

  • Defines and drives the technical roadmap for innovating statistical programming practices, tools, and infrastructure

  • Evaluate, pilot, and implement AI-assisted tools to improve programming efficiency, quality, regulatory and GDPR compliance

  • Identify opportunities to replace manual and traditional SAS-based processes with automated, reproducible pipelines using R, Python or other emerging technology including AI solutions

  • Designs, builds, and maintains reusable tools, macros, packages, and templates that improve efficiency and consistency across programming deliverables

  • Leads migration and integration efforts where traditional SAS workflows are modernized or supplemented with R/Python-based solutions

  • Provides technical direction and hands-on guidance for the design, development, and deployment of R Shiny applications (e.g., interactive review tools, safety/efficacy dashboards, TLF exploration tools)

  • Sets standards for Shiny app architecture, modularity (e.g., use of frameworks such as teal), performance, and deployment (e.g., Posit Connect)

  • Supervises, manages, mentors, and develops direct reports, building their capabilities in both traditional and modern programming approaches. Fosters a culture of continuous learning, experimentation, and technical excellence

What we're looking for:

  • BS or equivalent from an accredited college or university in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative field, or equivalent experience with programming in a scientific field.Equivalent combination of education, training and experience will be considered.

  • 10+ years of statistical programming experience, including demonstrated expertise in R and SAS in CRO or pharmaceutical environments

  • 5+ yearsin technical leadership role

  • 2+ years of experience as supervisor/manager

  • Strong working proficiency in R for data manipulation, automation, and/or statistical analysis

  • Proven hands on and leadership experience building tools, macros, or pipelines that improved efficiency or standardization for a programming function