1

Statistical Programmer Jobs in Ontario (NOW HIRING)

Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative discipline - or a PhD in a relevant field. * 3+ years of experience designing and implementing ...

Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative discipline - or a PhD in a relevant field. * 3+ years of experience designing and implementing ...

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 ...

D. degree in Computer Science, Data Science, Statistics, Engineering, Physics, or a related quantitative field. * 5+ years of hands on industry experience in developing probabilistic models ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

Statistical Programmer information

See Ontario salary details

$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.

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 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 AI Engineer - AI Platform & ML Engineering

Aviso Wealth

Toronto, ON • On-site

Full-time

Medical, Dental, Retirement, PTO

Posted 17 days ago


Job description

Aviso Wealth:

At Aviso, we are dedicated to improving the financial well-being of Canadians. As a leading wealth management organization, we are committed to leadership, innovation, partnership, responsibility, and community. Working with talented and energetic professionals who exemplify our values every day, you will quickly notice that our people and dynamic 'oneaviso' culture sets us apart. If you are looking for interesting and challenging work, at a company committed to its people, find out more about what Aviso has to offer at www.aviso.ca.

The Opportunity:

We're looking for an AI Engineer, AI Platform & ML Engineering to join our Data & AI Technology Partners team. Reporting to the Sr. Director of Data Science and AI Enablement, the AI Platform & ML Engineering is responsible for focusing on the platform patterns, MLOps practices, model lifecycle, deployment standards, monitoring, evaluation, and governance integration needed to move AI and machine learning solutions beyond experimentation. This is a hands-on engineering role for someone who wants to build the foundation that allows AI solutions to become repeatable, governed, observable, and production ready.


As oneaviso: 

  • We Care - You do the right thing for clients, partners and colleagues. You build trusted relationships, champion service excellence, and contribute to a culture where people feel valued and supported
  • We Dare -You challenge the status quo with bold ideas and fresh perspectives. You embrace change, seek opportunities to innovate and are comfortable exploring new ways of working
  • We Share - You collaborate openly and build meaningful relationships. You seek out diverse perspectives, share your knowledge and work together to help colleagues, clients and partners succeed
  • We Deliver - You take ownership of your work, honour your commitments and focus on delivering meaningful results. You hold yourself accountable and continuously look for ways to improve

What your day looks like:

  • Build reusable AL and ML engineering patterns that help teams move from proof-of-value to production safely and consistently
  • Establish practical MLOps and LLMOps practices using Databricks, AWS, MLflow and related platform capabilities
  • Create standards and templates for model deployment, serving, monitoring, evaluation, and production release
  • Support API integration and deployment patterns for ML, GenAI and agentic solutions
  • Partner with Data Engineering & Data Management to define feature engineering data product, and reusable pipeline patterns for AI/ML use cases
  • Help define how models, prompts, agents, data products, and AI outputs are versioned, tracked, monitored, and governed
  • Partner with Data & AI Governance to embed responsible AI, lineage, access control, auditability, and risk controls into production workflows
  • Help monitor AI cost, performance, reliability, usage, and operational risk, while contributing to reusable standards and community learning

Requirements

Your experience and skills:

  • Bachelor's or Master's Degree in Computer Science, Software Engineering, Data Engineering, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Engineering or related technical field
  • Equivalent hands-on experience building data, AI, machine learning, platform, or cloud engineering solutions may be considered in place of formal education
  • 10+ years of overall experience with 4+ years of experience building, deploying, or supporting machine learning, AI, or data-driven solutions in production environments and 5 to 7 years working in the data space
  • Databricks certification related to Machine Learning, Data Engineering, Generative AI or platform administration
  • AWS certifications related to cloud architecture, machine learning, AI, DevOps, data engineering or security
  • Microsoft Azure certifications related to AI, data, cloud engineering, DevOps, or security
  • Other relevant certifications in MLOps, LLMOps, cloud platforms, DevOps, security, architecture, or enterprise AI platforms
  • Strong Python development skills, especially for ML engineering, automation, APIs, testing and production implementation
  • Hands-on experience with cloud-based AI/ML platforms; experience with AWS an asset, Databricks, Azure, MLflow or Lakehouse platforms
  • Strong understanding of MLOps, CI/CD/CT, model deployment, model serving, and production release practices for AI and ML solutions
  • Experience with model evaluation, validation, monitoring and observability, including model performance, drift, reliability, latency, usage and cost
  • Familiarity with LLMOps practices that support GenAI and agentic solutions in production, including prompt/model versioning, evaluation pipelines, controlled releases, and production support patterns
  • Experience developing reusable AI/ML platform patterns, including deployment templates, secure serving patterns, feature engineering standards, and integration frameworks
  • Understanding of enterprise security, governance, and control requirements for production AI and ML workloads
  • Strong consultative and communication skills, with the ability to explain technical trade-offs to data, technology, risk, governance, and business stakeholders
  • Fluent communication skills in English are required and bilingual skills in French are an asset

Benefits

Why Aviso Wealth?

At Aviso Wealth, you will find a dynamic and inclusive culture that rewards innovation and celebrates success.
Here are a few things that set us apart:

  • Competitive compensation package that rewards and recognizes individual contributions
  • Excellent health, dental and insurance benefits to meet the diverse needs of our employees
  • Generous vacation time, fitness benefit, parental leave top-up options
  • Matching contributions to our retirement program
  • Commitment to the continuous improvement of our staff through learning & development and an education assistance program
  • Regular social events to foster teamwork

Your Information

By submitting your application, you consent to the collection, use, and disclosure of your provided personal information for the purposes of assessing your qualifications and suitability for employment with Aviso. Your information will be handled in accordance with applicable Canadian privacy laws, including the Personal Information Protection and Electronic Documents Act (PIPEDA) and relevant provincial legislation. Your data may be shared with authorized personnel involved in the recruitment process and retained only as long as necessary to fulfill these purposes or as required by law.

Further information is available on the Privacy link on our Career Page - Privacy Policies

Equal Employment Opportunity

Aviso welcomes and encourages applications from all qualified individuals including persons with disabilities. If you require an accommodation, we will work with you to meet your needs in all stages of the hiring process.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

No recruiters or agencies, please.

Company Overview:

Aviso is a leading wealth management and investment services provider for the Canadian financial industry, with approximately $145 billion in total assets under administration and management, and over 1,000 employees. We're building a comprehensive, technology-enabled, client-centric wealth services ecosystem. Our clients include our partners, advisors, and investors. We're a trusted partner for nearly all credit unions across Canada, in addition to a wide range of portfolio managers, investment dealers, insurance and trust companies, and introducing brokers. Our partners depend on Aviso for specific solutions that give them a competitive edge in a rapidly evolving, highly competitive industry. Our investment dealer and mutual fund dealer and our insurance services support thousands of investment advisors. Our asset manager, NEI Investments, specializes in investing responsibly. Our online brokerage, Qtrade Direct Investing, empowers self-directed investors, and our fully automated investing service, Qtrade Guided Portfolios, serves investors who prefer a hands-off approach. Aviso Correspondent Partners provides custodial and carrying broker services to a wide range of firms. We have offices in Toronto, Vancouver, and Montreal. Aviso is backed by the collective strength of our owners: the credit union Centrals, Co-operators/CUMIS, and Desjardins. We're proud to power businesses that empower investors.

A career with Aviso means being part of a group of talented, energetic professionals who live their values every day, and belonging to an organization dedicated to your success and career development. If you're looking for interesting and challenging work, at a company committed to its people, apply to join our team.

Salary

This position is posted with an expected salary range of $135,000 - $150,000 CAD annually. Individual compensation packages are based on various factors unique to each candidate and the requirements of the position.