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Clinical Data Scientist 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 ...

Tolmar

Medical Science Liaison

Montreal, QC

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 ...

Gilead

Medical Scientist HIV, Quebec

Quebec, QC

Discusses and presents scientific and clinical data related to Gilead products, and key HIV topics to health care providers, HIV Community, and other internal and external stakeholders, as requested.

AbCellera

Global Clinical Study Manager

Montreal, QC · On-site

We pursue truth and scientific rigour and have the courage to work at the edge of the unknown. We ... Overseeing the collection, analysis, and reporting of clinical trial data, ensuring data integrity ...

AbCellera

Principal Scientist - Toxicology

Montreal, QC

CA$144K - CA$180K/yr

... data interpretation, and report finalization to ensure timely, high-quality, and GLP-compliant ... Representing the Nonclinical Safety function as a core member of cross-functional discovery and ...

Altasciences

Scientist, Pk & Biomarker

Laval, QC

About The Role The Scientist, PK & Biomarkers is assigned to projects based on scientific ... clinical protocols, study plans, laboratory manuals, Data Transfer Agreements, and/or other ...

Altasciences

Associate Scientist (BSD)

Laval, QC

... clinical protocols, study plans, laboratory manuals, Data Transfer Agreements, and/or other ... Keeps BPI and/or Senior Scientist involved through ongoing communications. * Write, review and ...

CellCarta

Scientist, R&D Proteomics

Montreal, QC · On-site

Perform in-depth data analysis and interpretation for each experiment * Provide clear presentations ... stage clinical trials. The Company operates globally with facilities located in Canada, USA ...

Charles River Laboratories, Inc.

Write scientific documents, review and interpret the raw data; * Write, review, and edit stand ... Charles River also provides a suite of products and services to support our clients' clinical ...

Charles River Laboratories, Inc.

Prepare, review, and finalize draft and final reports documenting all study procedures, data, and ... Charles River also provides a suite of products and services to support our clients' clinical ...

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Clinical Data Scientist information

What is a clinical data scientist?

A Clinical Data Scientist analyzes healthcare and clinical trial data to extract insights that support medical research, drug development, and patient outcomes. They use statistical models, machine learning, and programming skills to interpret complex datasets and improve decision-making in clinical settings. Their work helps optimize trial designs, identify treatment patterns, and ensure data quality and regulatory compliance.

What skills and qualifications are needed to be a clinical data scientist?

To thrive as a Clinical Data Scientist, you need a strong background in statistics, data analysis, clinical research, and often a degree in life sciences, biostatistics, or a related field. Familiarity with programming languages such as Python or R, knowledge of clinical trial management systems (CTMS), and certifications like SAS or Clinical Data Management are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills are essential for collaborating with healthcare professionals and sharing data-driven insights. These skills help ensure the accurate interpretation and proper management of complex clinical data, which supports evidence-based decision making in healthcare.

What are the main challenges clinical data scientists face in their day-to-day work?

Clinical Data Scientists often encounter challenges such as handling large, complex datasets from multiple sources, ensuring data quality and integrity, and staying compliant with strict regulatory standards like HIPAA or FDA guidelines. They must also translate clinical requirements into analytical models, which requires close collaboration with clinicians, biostatisticians, and IT teams. Balancing detailed statistical analysis with clear, actionable reporting is key, and adapting to evolving technologies and new data sources is a common part of the job. Successfully overcoming these challenges supports clinical research outcomes and helps advance patient care.

How much do clinical data scientists make in the US?

Clinical data scientists in the US typically earn a median salary of around $90,000 to $120,000 annually, depending on experience, education, and location. Advanced skills in statistical analysis, programming, and familiarity with healthcare data tools can lead to higher compensation.

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

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

What job categories do people searching Clinical Data Scientist jobs in Quebec look for?

The top searched job categories for Clinical Data Scientist jobs in Quebec are:

Clinical Data Scientist jobs near you
Infographic showing various Clinical Data Scientist 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.

Clinical Data Analyst

Alimentiv

Montreal, QC • Remote

Full-time

Re-posted 23 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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