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Statistical Programmer Contract Jobs in Ontario (NOW HIRING)

AI Research Scientist - PhD

Toronto, ON ยท Remote

CA$55 - CA$80/hr

Contract Compensation: $55-$80/hour Location: Remote Role Responsibilities * Contribute subject ... PhD or advanced degree in Medicine / Healthcare , Statistics and Data Science , AI / ML Research ...

Invoicing; understands contract payment structure, draft invoices for review by management ... Bachelor's Degree in Civil Engineering, Structural or Architectural from an accredited university ...

Showing results 41-60

Statistical Programmer Contract information

What are the key skills and qualifications needed to thrive as a statistical programmer contract?

To thrive as a Statistical Programmer Contract, you need a solid background in statistics, programming (especially SAS or R), and a relevant degree in mathematics, statistics, or computer science. Familiarity with statistical software (such as SAS, R, or Python), CDISC standards, and experience with clinical trial datasets are typically required, and certification in SAS programming can be advantageous. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for ensuring the accuracy, integrity, and regulatory compliance of statistical analyses in research or clinical environments.

What is a statistical programmer contract?

A Statistical Programmer Contract refers to a temporary or project-based role where a professional specializes in programming and data analysis, often within clinical research or pharmaceutical industries. These programmers use statistical software like SAS, R, or Python to manage, analyze, and report clinical trial data. Contract positions typically focus on ensuring data integrity, generating tables, listings, and figures, and supporting regulatory submissions. The contract nature means the engagement is for a defined period or project, offering flexibility for both the programmer and the employer.

What are some common challenges faced by statistical programmers working on a contract basis, and how can they be addressed?

Statistical Programmers working on a contract often face challenges such as quickly adapting to new team environments, learning proprietary systems, and managing tight project deadlines. Since contractors may work with multiple clients or projects, strong organizational and communication skills are essential to align with varying expectations and workflows. Building rapport with permanent team members and proactively seeking clarification on project requirements can help smooth the transition and ensure project success.
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 Contract jobs in Ontario? For Statistical Programmer Contract jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer Contract jobs in Ontario look for? The top searched job categories for Statistical Programmer Contract jobs in Ontario are:
Infographic showing various Statistical Programmer Contract job openings in Ontario as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Data Scientist (Applied AI & Analytics)

ITPS (Canada) LTD

London, ON โ€ข On-site

Full-time

Re-posted 3 days ago


Job description

Salary:

Job Title: Senior Data Scientist (Applied AI & Analytics)

Location: London, ON / North Bay, ON (Hybrid)
Employment Type: 2-Year Contract (with option to extend)
Salary Range: $110,000 $150,000 CAD (commensurate with experience)
Relocation Support: Moving allowance available


About ITPS

International Test Pilots School (ITPS Canada Ltd.) is a globally recognized aerospace training organization specializing in advanced flight training, flight test education, and tactical aviation programs. ITPS works with military organizations, government agencies, and aerospace companies worldwide to deliver high-performance training solutions supported by modern aircraft, simulation systems, and evolving data-driven methodologies.

As part of its continued investment in innovation, ITPS is expanding its capabilities in data analytics, artificial intelligence, and advanced training technologies.


Role Overview

ITPS is seeking a Senior Data Scientist to lead the development of advanced data analytics and AI capabilities within a growing R&D initiative. This role will focus on transforming complex, multi-source operational data into structured insights, performance metrics, and scalable analytical tools.

The successful candidate will play a key role in shaping the technical direction of the project, developing data models, and establishing best practices for data processing, analysis, and integration. This individual will also support the future build-out of a data team.


Key Responsibilities

  • Lead the design and development of data processing pipelines for complex, multi-source datasets
  • Develop methodologies to extract meaningful insights from time-series and high-frequency data
  • Design and implement statistical models and machine learning approaches where appropriate
  • Structure and integrate diverse data sources into unified analytical frameworks
  • Define key metrics, features, and indicators for performance analysis
  • Collaborate with subject matter experts to translate operational concepts into measurable outputs
  • Ensure data quality, consistency, and reliability across datasets
  • Support visualization and reporting of analytical results
  • Establish best practices for data management, documentation, and reproducibility
  • Contribute to technical planning and project execution
  • Participate in hiring and mentoring of junior data team members as the project expands


Required Qualifications & Experience

  • Bachelors or Masters degree in Data Science, Computer Science, Engineering, Mathematics, or a related field
  • 5+ years of experience in applied data science or analytics roles
  • Strong proficiency in Python (pandas, NumPy, scikit-learn or similar libraries)
  • Experience working with time-series data and large, complex datasets
  • Strong data wrangling, preprocessing, and feature engineering skills
  • Experience developing and deploying analytical models in real-world environments
  • Solid understanding of statistical methods and data analysis techniques
  • Experience with data visualization tools (e.g., matplotlib, seaborn, Power BI, or similar)
  • Ability to work independently and translate ambiguous problems into structured solutions


Preferred Qualifications

  • Experience with multi-modal data (e.g., sensor, telemetry, or behavioral data)
  • Experience in aerospace, defense, simulation, or human performance analytics
  • Familiarity with machine learning model development and evaluation
  • Experience with data architecture, pipelines, and cloud-based tools
  • Prior experience in R&D or applied innovation environments


What Were Looking For

  • Strong problem-solving ability and practical mindset
  • Ability to work with incomplete or evolving datasets
  • Comfortable operating in an applied, hands-on environment
  • Strong communication skills and ability to work with non-technical stakeholders
  • Interest in building new capabilities from the ground up


Compensation & Benefits

  • Competitive salary based on experience ($110,000 $150,000 CAD)
  • Moving allowance available for qualified candidates
  • Opportunity to work on a high-impact, technically challenging project
  • Potential for contract extension based on project success and business needs


Why Join ITPS

This is a unique opportunity to work at the intersection of aerospace, data, and advanced analytics within a globally recognized organization. The role offers the chance to build foundational capabilities, work with highly specialized data, and contribute to the development of next-generation training technologies.


AI Disclosure:We do not use AI to evaluate applicants or make decisions during the interview process. All candidate assessments and hiring decisions are made by our recruitment and leadership teams.