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Clinical Data Jobs in Quebec (NOW HIRING)

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical ...

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical ...

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical ...

Performing data review and resolution of queries to maintain high-quality clinical data. * Contributing to the preparation and review of study documentation, including protocols and clinical study ...

Manage nursing protocols Collect data from standardized clinical data sheets and assess clinical situations Perform various administrative tasks on the computer Answering questions from parents and ...

Deliver balanced, accurate, and non-promotional scientific exchange on disease state, clinical data, real-world evidence, treatment pathways and guidelines, and unmet needs in oncology and men ...

... clinical data into settings Complete accident incident reports if applicable, sign them in your name and job title. Notify families if there is a fall or transfer to the hospital Performs any other ...

Company Description MEDFAR Clinical Solutions was founded in 2010 by two aeronautical engineers who ... As a Data Transfer Team Lead, you will play a key role in the onboarding experience of our new ...

Company Description MEDFAR Clinical Solutions was founded in 2010 by two aeronautical engineers who ... As a Senior Data Transfer Developer, you will design, build, and evolve robust data transfer ...

... Enter basic clinical data, as needed. REQUIRED QUALIFICATIONS: Diploma of Vocational Studies (DEP) in Dental Assisting or recognized equivalent Valid registration with the OOAQ (an asset) or ...

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Clinical Data information

See Quebec salary details

$11

$43

$83

How much do clinical data jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for clinical data in Quebec is $43.90, according to ZipRecruiter salary data. Most workers in this role earn between $26.92 and $57.69 per hour, depending on experience, location, and employer.

What is clinical data?

Clinical data refers to information collected during the course of ongoing patient care or as part of a clinical trial program. This data includes patient demographics, medical history, lab results, imaging studies, treatment plans, and outcomes. Clinical data is crucial for informing medical decisions, improving patient care, and supporting medical research and drug development. It is typically collected and managed by healthcare providers, researchers, and data professionals while maintaining strict standards for patient privacy and data security.

What are some common challenges faced by professionals working in clinical data roles, and how can they be addressed?

Professionals in Clinical Data roles often encounter challenges such as managing large volumes of complex data, ensuring data quality and integrity, and adhering to strict regulatory standards. These challenges can be addressed by staying updated on industry best practices, utilizing advanced data management tools, and working closely with cross-functional teams such as clinical research and regulatory affairs. Continuous professional development and effective communication within the team are also key to overcoming these hurdles and ensuring successful clinical trial outcomes.

What are the key skills and qualifications needed to thrive as a clinical data specialist, and why are they important?

To thrive as a Clinical Data Specialist, you need a solid background in life sciences, data management principles, and familiarity with regulatory guidelines, often supported by a relevant degree. Proficiency in clinical data management systems (CDMS), electronic data capture (EDC) tools, and knowledge of standards like CDISC or MedDRA is typically required. Strong attention to detail, analytical thinking, and effective communication skills are crucial soft skills for this role. These competencies ensure the accuracy and integrity of clinical trial data, supporting regulatory compliance and reliable outcomes in clinical research.

What is the difference between Clinical Data vs Clinical Data Coordinator?

AspectClinical DataClinical Data Coordinator
CredentialsTypically requires a degree in health informatics, life sciences, or related fieldRequires similar credentials, often with additional certification in clinical research or data management
Work EnvironmentData analysis, database management, and reporting in healthcare or research settingsOversees data collection, entry, and quality control in clinical trial or healthcare environments
Employer & Industry UsageUsed across hospitals, research institutions, and pharmaceutical companiesCommonly employed in clinical research organizations and hospitals

While both roles involve handling clinical data, Clinical Data professionals focus on data analysis and management, whereas Clinical Data Coordinators oversee data collection and quality assurance in clinical trials or healthcare settings.

What are the most commonly searched types of Clinical Data jobs in Quebec?

The most popular types of Clinical Data jobs in Quebec are:

Infographic showing various Clinical Data job openings in Quebec as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $91,319 per year, or $43.9 per hour.

Clinical Data Analyst

Montreal, QC • Remote

Full-time

Re-posted 27 days ago


Job description

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical study data reporting and analytics capabilities.  This role will support in the development of advanced analytical solutions, better supporting internal and external stakeholders needs in summarizing clinical study data. This role will also enable operational quality and efficiency through the generation and analysis of departmental operational and performance metrics.
 
Reporting Standards Management
  • Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholders.
  • Gather requirements from a cross-functional group to a particular study question or operational activity.
  • Build & configure solution to meet the requirements.
  • Lead validation activities to prepare reporting solutions for release/usage.
  • Gather (as needed) and collaborate with volunteer stakeholder group to support validation activities.
  • Contribute to the Data Standards Governance Committee (DSGC) for the management of standard reports.
  • Maintain ongoing updates to standard report templates.
  • Support training for the Data Sciences team of new standard reports/solutions.
Study-Specific Reporting Deployment
  • Deploy standard reporting solutions for use on a study-specific basis.
  • Create & develop ad hoc reporting and/or analysis solutions - report, dashboard, visualization, or other - as requested by study team members.
  • Gather requirements from study team member(s) for ad hoc solutions.
  • Build & configure ad hoc solutions to meet the requirements.
  • Support report requestor in validation activities of study-specific ad hoc solutions to prepare for release/usage.
  • Support long-term maintenance of study-specific solutions and contribute to investigating issues, as raised by study team members.
Department Operational & Performance Analysis
  • Identify requirements with Data Sciences leaders to measure & monitor operational and performance metrics.
  • Design, build, and maintain metrics governance within Data Sciences.
  • Work with large data sets to analyze operational & study data and deliver reporting that outline areas for process & performance improvement/optimization (inefficiencies, inaccuracies, and other issues) to Data Sciences leadership.
Technical Systems
  • Participate in the strategy, management and integration of data reporting systems that impact Data Sciences, including the assessment, integration, build of vendor systems and Alimentiv technologies.
  • Act as a technical system subject matter expert; perform validation and testing of systems.
  • Help gather and determine requirements for relevant technical systems, with cross-functional groups or other Business/Process analysts. Work closely with other technical roles (Data Management, Database Programming, Statistics, Enterprise Analyses, etc.) to drive data governance and excellence.
  • Assess ways to further leverage existing systems to optimize internal efficiencies and processes.
  • Support Data Sciences contribution to a Data Warehouse, contributing to key decisions and strategy.
  • While evaluating new projects or requests for enhancements, help determine the project cost, timeline, goals and feasibility and then support the project through completion.
Qualifications
  • Minimum of a Bachelor's degree + 4-6 years of related experience.
  • Strong analytical skills
  • Visual design and aesthetic sense to produce appealing and intuitive outputs
  • Proficiency with data visualization tools (i.e., PowerBI, Tableau, Spotfire, etc)
  • Skilled data storyteller to communicate complex information in clear and effective manner
  • Strong collaborator
  • Preference to certificate in data analysis, data visualizations, or technical solutions (i.e., PowerBI, Tableau, Spotfire, etc.)
  • Preference to prior Clinical Research and/or Clinical Data Management experience.
Working Condition
  • Home-based
$89,000 - $148,000 a year
+ bonus
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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