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Clinical Feasibility Jobs in Quebec (NOW HIRING)

Alimentiv

Clinical Data Analyst

Quebec, QC · Remote

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data ... cost, timeline, goals and feasibility and then support the project through completion.

Alimentiv

Clinical Data Analyst

Sherbrooke, QC · Remote

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data ... cost, timeline, goals and feasibility and then support the project through completion.

Alimentiv

Clinical Data Analyst

Montreal, QC · Remote

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data ... cost, timeline, goals and feasibility and then support the project through completion.

AbCellera

Global Clinical Study Manager

Montreal, QC · On-site

Based out of Montreal, Quebec, the Clinical Study Manager will ensure the efficient and timely ... feasibility assessments, and the development of study materials * Ensuring studies adhere to ...

Amgen

Sr Mgr Local Study Operations

Quebec, QC

Career Category Clinical Join Amgen's Mission of Serving Patients At Amgen, if you feel like you're ... feasibility through to study close-out. * Monitor portfolio progress, provide risk and quality ...

All JobsClinical Feasibility JobsClinical Feasibility Jobs in Quebec

Clinical Feasibility information

See Quebec salary details

$30K

$92K

$184K

How much do clinical feasibility jobs pay per year?

As of Sep 3, 2026, the average yearly pay for clinical feasibility in Quebec is $91,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $108,500.00 per year, depending on experience, location, and employer.

What is clinical feasibility?

Clinical feasibility refers to the assessment process that determines whether a proposed clinical trial or study can be successfully conducted. This includes evaluating factors such as patient availability, site capabilities, regulatory requirements, budget, and timelines. The goal is to identify potential challenges early and ensure the study design is practical and achievable before full-scale implementation. Clinical feasibility helps reduce risks, save costs, and increase the likelihood of a successful clinical trial.

What are the key skills and qualifications needed to thrive in clinical feasibility?

To thrive in Clinical Feasibility, you need a solid background in clinical research, data analysis, and knowledge of regulatory guidelines, typically supported by a degree in life sciences or a related field. Familiarity with clinical trial management systems (CTMS), feasibility assessment tools, and databases like CT.gov is essential. Strong analytical thinking, attention to detail, and effective communication skills are vital for collaborating with stakeholders and interpreting complex data. These skills ensure successful trial planning by accurately evaluating study viability, patient recruitment potential, and regulatory requirements.

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

Professionals in Clinical Feasibility often encounter challenges such as accurately assessing patient recruitment potential, navigating complex regulatory landscapes across different regions, and integrating insights from diverse stakeholders. Addressing these challenges requires strong analytical skills, effective communication with clinical sites, and staying updated on regulatory requirements. Building collaborative relationships with investigators and leveraging data-driven tools can help improve feasibility assessments and ultimately increase the likelihood of successful study execution.

What is the difference between Clinical Feasibility vs Clinical Research Coordinator?

AspectClinical FeasibilityClinical Research Coordinator
Required CredentialsBachelor's degree, experience in clinical settingsBachelor's degree, experience in clinical trials
Work EnvironmentPre-study assessments, protocol evaluationsManaging trial activities, patient coordination
Employer & Industry UsagePharmaceutical companies, research institutionsHospitals, research centers, CROs

Clinical Feasibility specialists focus on assessing the practicality of conducting a clinical trial, including site capabilities and patient availability. Clinical Research Coordinators manage the day-to-day operations of clinical trials, ensuring protocol adherence and patient safety. While both roles require clinical knowledge, Clinical Feasibility emphasizes planning and assessment, whereas Clinical Research Coordinators handle trial execution.

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

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

Clinical Feasibility jobs near you
Infographic showing various Clinical Feasibility job openings in Quebec as of August 2026, with employment types broken down into 2% As Needed, 58% Full Time, 24% Part Time, and 16% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $91,978 per year, or $44.2 per hour.

Clinical Data Analyst

Alimentiv

Quebec, QC • Remote

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

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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