Clinical Data Coordinator

Role overview

This opportunity is being promoted for a partner organization that handles all applications and recruitment stages. The hiring company is seeking a Clinical Data Coordinator located in Canada.

In this position, you will support the accuracy, completeness, and overall quality of clinical trial data across different phases of research projects. Your work will help ensure that datasets align with study protocols, regulatory expectations, and sponsor specifications.

The role centers on routine clinical data handling, including review, query follow-up, and database upkeep in a structured research setting. You will work alongside clinical data management specialists while contributing to study start-up, ongoing maintenance, and closeout activities.

This is a strong fit for someone who wants to grow a career in clinical data management in a regulated environment that values precision, teamwork, and continuous improvement.

Key duties

• Help prepare and maintain clinical data management records throughout study start-up, active conduct, and closeout.
• Support database testing work, including verification of edit checks and quality assurance steps.
• Review clinical data, raise queries, and track down discrepancies so records remain accurate and complete.
• Enter and refresh trial data in study databases, correcting mistakes and inconsistencies in a timely way.
• Assist with SAS data request preparation and check output reports for accuracy and consistency.
• Support data transfer processes and examine incoming and outgoing files for completeness and quality.
• Contribute to final database preparation and ensure proper handoff of study data to sponsors.
• Keep trial master file records current and compliant with internal and regulatory expectations.
• Take part in efforts to improve data management workflows and related processes.
• Support team learning, knowledge sharing, and ongoing development within the clinical data management function.

Required profile

• A post-secondary certificate or diploma of 1 to 2 years in a relevant field, or 1 to 3 years of related experience in clinical data management or clinical research.
• Strong focus on detail and a clear commitment to data accuracy, integrity, and quality.
• Good written and verbal communication skills, with the ability to work well with others.
• Capability to enter data, review clinical information, and resolve discrepancies in an organized setting.
• Solid planning and multitasking abilities, with the discipline to meet deadlines.
• A self-driven attitude and willingness to keep learning and improving.
• Experience with clinical research processes, data management tools, or regulatory requirements is considered an advantage.
• Ability to function effectively in a collaborative, fast-moving, and regulated workplace.
• Analytical thinking and curiosity about clinical data workflows and operations.
• A team-first mindset with accountability and a commitment to high-quality output.

Benefits and workplace support

• Competitive pay range of CAD 41,000 to CAD 68,000.
• Flexibility to work either remotely or in a hybrid setup, depending on location.
• Opportunity to develop a career in clinical research and data management.
• Exposure to clinical trial operations and regulated research settings.
• Access to professional development and ongoing learning opportunities.
• A collaborative, encouraging team environment.
• An inclusive workplace with accommodations available on request.
• Work that contributes meaningfully to clinical research and patient outcomes.

Application and hiring process

The application is reviewed through an AI-assisted matching process designed to screen candidates against the role’s core requirements in a fair and efficient way. The best-matching profiles are then shared with the hiring employer, who manages interviews, assessments, and final selection.

By applying, candidates acknowledge that personal data may be processed for recruitment evaluation and shared with the employer where appropriate. The process may include AI tools to support resume review and application analysis, while final hiring decisions remain human-led.