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Statistics Validator Jobs in Ontario (NOW HIRING)

SAS programming and program validation * Review and QC of statistical deliverables (tables, listings, figures, etc.) * Perform statistical analysis and report results * Consult on experimental design ...

This includes tasks such as psychometric modeling, statistical validation of assessment tools, longitudinal data analysis, and the preparation of analytical reports for internal and external ...

Data Scientist II

Toronto, ON ยท On-site

CA$81K - CA$115K/yr

Clearly communicate the value, principles and math behind the scientific process such as hypotheses testing and statistical validation to drive organizational excellence. * Provide thought leadership ...

QA Manager

Toronto, ON ยท Hybrid

  • Medical

  • Retirement

... and statistical validation. You'll help build teams and architect a quality practice that is not only robust and scalable, but capable of handling the complexity and nuance of modern, non ...

The Manager in the Model Validation & Approval valuation team provides independent and consistent ... Strong knowledge of applied mathematics/statistics and numerical methods such as Monte Carlo ...

Senior Manufacturing Quality Engineer

Oakville, ON ยท On-site

CA$130K - CA$150K/yr

This role requires deep expertise in process characterization, statistical engineering, validation, and continuous improvement within a regulated medical device environment. Key Responsibilities

Verification and Validation Engineer

Oakville, ON ยท On-site

CA$60K - CA$75K/yr

... statistical analyses, etc; * Participate in design reviews to assess design verification and ... validation impact; * Accurately report and track product defects, verify hardware bug fixes, and ...

Design & Validation Engineer

Guelph, ON ยท On-site

  • Dental

  • Vision

Familiarity with statistical analysis and CAD/CAM software. Required Skills/Experience: * Strong attention to detail and a commitment to accuracy. * Excellent problem-solving skills and a proactive ...

Senior Data Scientist

Toronto, ON

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Establish best practices for statistical rigor, model validation, and analytical quality across the organization * Proactively identify opportunities to apply advanced analytics to solve emerging ...

Advanced proficiency in statistical methods and software (e.g., R, JMP), with a proven ability to lead DOE for process characterisation, optimisation, and validation. * Regulatory and Collaborative ...

Marketing Analyst

Toronto, ON

  • Medical

  • Dental

  • Vision

  • PTO

Write efficient, scalable SQL queries to extract, transform, and validate data from multiple sources, ensuring metric accuracy and consistency * Perform exploratory data analysis and statistical ...

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Statistics Validator information

What is a statistics validator?

Statistics Validators are professionals who verify the accuracy, integrity, and reliability of statistical data and analyses. They review datasets, methodologies, and statistical outputs to ensure that findings are valid and meet relevant standards. Their work is crucial in research, government, and industry settings, where credible data is essential for decision making. By checking for errors, inconsistencies, and biases, Statistics Validators help maintain the quality and trustworthiness of statistical information.

What are the primary challenges a statistics validator faces when ensuring data integrity within a project?

Statistics Validators often encounter challenges related to data quality, such as incomplete datasets, inconsistent formats, or errors introduced during data collection and entry. They must meticulously review data sources, cross-check results, and ensure that statistical methodologies are correctly applied. Collaboration with data analysts, researchers, and IT teams is essential to resolve discrepancies and maintain high data standards. Staying up-to-date with industry best practices and regulatory requirements also plays a crucial role in overcoming these challenges.

What is the difference between Statistics Validator vs Data Analyst?

AspectStatistics Validator
Required CredentialsTypically a degree in statistics, mathematics, or related field; certifications like CAP or ASA are common
Work EnvironmentPrimarily office-based, working with data validation processes, quality assurance, and compliance
Employer & IndustryFinancial institutions, research organizations, government agencies, and data-driven companies
Comparison with Data Analyst

The main difference between a Statistics Validator and a Data Analyst lies in their focus. A Statistics Validator specializes in verifying the accuracy and integrity of statistical data, ensuring compliance with standards. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require strong statistical knowledge, the validator emphasizes quality assurance, whereas the analyst emphasizes data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a statistics validator, and why are they important?

To thrive as a Statistics Validator, you need a strong background in statistics, data analysis, and quality assurance, often supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, or SPSS, as well as proficiency in data validation frameworks and reporting tools, is typically required. Attention to detail, critical thinking, and strong communication skills help ensure the accuracy and clarity of validated data. These skills and qualities are crucial for maintaining data integrity, supporting decision-making, and upholding the credibility of statistical results.

How do you become a statistics validator?

To become a statistics validator, candidates typically need a bachelor's degree in statistics, mathematics, or a related field, along with strong analytical skills and experience with data analysis tools like Excel or statistical software. Gaining experience through internships or entry-level roles in data validation or quality assurance can also be beneficial. Certifications such as the Certified Data Management Professional (CDMP) or relevant training can enhance qualifications for this role.

Is a statistics validator job in demand?

Statistics validator roles are in steady demand across industries that rely on data accuracy, such as finance, healthcare, and research organizations. These positions often require strong analytical skills and familiarity with statistical software, with demand driven by the increasing importance of data integrity and quality assurance.

What are popular job titles related to Statistics Validator jobs in Ontario?

For Statistics Validator jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Statistics Validator jobs in Ontario look for?

The top searched job categories for Statistics Validator jobs in Ontario are:

Infographic showing various Statistics Validator job openings in Ontario as of August 2026, with employment types broken down into 66% Full Time, 19% Part Time, 4% Temporary, and 11% Contract. Highlights an 100% In-person job distribution.

Senior Statistician

PSI CRO

Toronto, ON โ€ข On-site

Full-time

Posted 14 days ago


Job description

Company Description

We are the company that cares – for our staff, for our clients, for our partners and for the quality of work we do. A dynamic, global company founded in 1995, we bring together more than 2,700 driven, dedicated and passionate individuals. We work on the frontline of medical science, changing lives, and bringing new medicines to those who need them.

Job Description

In this role, you will:

  • Lead all biostatistics activities related to clinical trials as responsible project statistician
  • Communicate with project teams, clients and vendors on statistical questions
  • Develop and review statistical sections of protocols, including sample size calculations
  • Develop statistical analysis plans
  • Develop and document analysis database structures (i.e. SAS analysis data set structures)
  • Develop SAS program requirements and specifications
  • SAS programming and program validation
  • Review and QC of statistical deliverables (tables, listings, figures, etc.)
  • Perform statistical analysis and report results
  • Consult on experimental design, statistical methods and approaches for the purpose of assessing safety and efficacy of drug products
  • Liaise with DM on statistical questions related to data issues, including coordination of data transfers from DM to Statistics
  • Participate in bid defense meetings and kick-off meetings
  • Train statisticians and SAS programmers
  • Prepare and deliver presentations at investigators' meetings
  • Address audits findings/recommendations, and follow-up on and resolution of audit findings
Qualifications
  • MSc in Statistics or equivalent
  • Expert knowledge and understanding of the statistical principles, concepts, methods, and standards used in clinical research
  • Ability to apply a range of advanced statistical techniques in support of clinical research studies and to analyze, interpret, and draw conclusions from complex statistical information
  • Ability to consult with clinical investigators, interpret research requirements, and determine statistical analysis strategies
  • Expert knowledge and understanding of the SAS programming
  • Expert knowledge and understanding of CDISC ADaM standard
  • Knowledge of relevant regulations and guidelines (e.g. FDA, EMA, ICH)
  • Ability to work in English 

Additional Information

Our mission is to be the best CRO in the world as measured by our employees, clients, sites, and vendors. Our recruitment process is easy and straightforward, and we’ll be there with you every step of the way.