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Clinical Data Analyst Jobs in Quebec (NOW HIRING)

Alimentiv

Clinical Data Analyst

Montreal, QC · Remote

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 ...

Alimentiv

Clinical Data Analyst

Quebec, QC · Remote

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 ...

Alimentiv

Clinical Data Analyst

Sherbrooke, QC · Remote

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 ...

AbCellera

Global Clinical Study Manager

Montreal, QC · On-site

Overseeing the collection, analysis, and reporting of clinical trial data, ensuring data integrity and quality, accurate data handling, and compliance with data protection regulations * Monitoring ...

Medfar

Data Transfer Team Lead

Montreal, QC · Hybrid

Company Description MEDFAR Clinical Solutions was founded in 2010 by two aeronautical engineers who ... Lead the analysis and execution of complex or high-impact data migrations * Establish and enforce ...

Charles River Laboratories, Inc.

Perform data analysis to determine if results are within expectations; * Execute the technical ... Charles River also provides a suite of products and services to support our clients' clinical ...

Medfar

Senior Data Transfer Developer

Montreal, QC · On-site +1

Company Description MEDFAR Clinical Solutions was founded in 2010 by two aeronautical engineers who ... Analyze, design, and plan development of data transfer applications and interfaces * Develop ...

Sienna Senior Living

$69.95 - $87.44/hr

... and data analysis. * Identifying trends/patterns and managing investigations of infections ... Minimum of three (3) years' experience in geriatrics in a clinical health setting. * Completion of ...

Altasciences

Senior Analyst, LBA

Laval, QC · On-site

Technical assay expert in multiple assay types from sample preparation to data generation ... Follow general SOP and good laboratory practice (GLP) and good clinical practices (GCP) as ...

Charles River Laboratories, Inc.

CA$75K/yr

Perform data tabulation, conduct preliminary analyses, and generate summary results while ... Charles River also provides a suite of products and services to support our clients' clinical ...

CHSLD de Laval

Auxiliary nurse

Laval, QC · On-site

Contribute to the assessment of residents' health status by collecting clinical data, observing ... Analytical skills, relevant judgment and ability to work in an interdisciplinary manner. Competence ...

CHSLD de Laval

Auxiliary nurse

Laval, QC · On-site

Contribute to the assessment of residents' health status by collecting clinical data, observing ... Analytical skills, sound judgment and ability to work in an interdisciplinary manner. Skill in ...

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All JobsClinical Data Analyst JobsClinical Data Analyst Jobs in Quebec

Clinical Data Analyst information

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$38

$66

How much do clinical data analyst jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for clinical data analyst in Quebec is $38.77, according to ZipRecruiter salary data. Most workers in this role earn between $29.33 and $46.63 per hour, depending on experience, location, and employer.

What is a clinical data analyst?

A Clinical Data Analyst is a professional who manages and analyzes healthcare data to support clinical research and improve patient outcomes. They collect, process, and ensure the accuracy of medical data from clinical trials or healthcare systems. Their work helps identify trends, support decision-making, and ensure compliance with regulatory standards. Clinical Data Analysts often use specialized software to clean, validate, and report on large datasets. They play a critical role in maintaining the integrity and quality of clinical information.

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

To thrive as a Clinical Data Analyst, you need a solid background in data analysis, statistics, and healthcare concepts, often supported by a degree in health informatics, statistics, or a related field. Familiarity with data management tools, programming languages like SQL or Python, and statistical software such as SAS or R, as well as knowledge of clinical databases and regulations like HIPAA, is crucial. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and convey insights to multidisciplinary teams. These skills ensure accurate data analysis, support evidence-based decision-making, and maintain compliance within clinical research and healthcare environments.

What are some common challenges clinical data analysts face when ensuring data quality and integrity?

Clinical Data Analysts frequently encounter challenges such as inconsistent data entry, missing values, and discrepancies across various data sources. Ensuring data quality requires meticulous attention to detail and strong communication with clinical staff to resolve ambiguities or errors. Analysts also navigate evolving regulatory requirements and must stay current with best practices in data validation and cleaning to maintain compliance and reliability of clinical trial results. Collaborating closely with data managers, statisticians, and clinical teams is essential for addressing these challenges efficiently.

How much does a clinical data analyst make?

The average salary for a clinical data analyst in the United States is around $70,000 to $85,000 per year, depending on experience, education, and location. Salaries can vary based on the employer, certifications, and specific skills such as proficiency with electronic data capture systems and statistical tools.

What do clinical data analysts do?

Clinical data analysts collect, organize, and interpret healthcare data to support clinical research, patient care, and decision-making. They use statistical tools and software to identify trends, ensure data accuracy, and maintain compliance with privacy regulations. Strong analytical skills and knowledge of healthcare systems are essential for this role.

What is clinical data analytics?

Clinical data analytics involves collecting, processing, and analyzing healthcare data to improve patient outcomes, support clinical decision-making, and optimize healthcare operations. Clinical data analysts use tools like electronic health records (EHRs) and statistical software to interpret large datasets and generate actionable insights. Strong analytical skills and knowledge of healthcare regulations are essential for this role.

What are popular job titles related to Clinical Data Analyst jobs in Quebec?

For Clinical Data Analyst jobs in Quebec, the most frequently searched job titles are:

What are popular job titles related to Clinical Data Analyst jobs in QC?

For Clinical Data Analyst jobs in QC, the most frequently searched job titles are:

Clinical Data Analyst jobs near you
Infographic showing various Clinical Data Analyst job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $80,636 per year, or $38.8 per hour.

Clinical Data Analyst

Montreal, QC • Remote

Alimentiv
See more jobs at Alimentivexternal

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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