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Entry Level Rn Data Abstractor Jobs in Quebec (NOW HIRING)

Ensure data security, confidentiality, and integrity, adhering to data management policies. About Dr. Fontaine and the RISE Lab: Dr. Guillaume Fontaine, PhD, RN, is an Assistant Professor of ...

Ensure data security, confidentiality, and integrity, adhering to data management policies. About Dr. Fontaine and the RISE Lab: Dr. Guillaume Fontaine, PhD, RN, is an Assistant Professor of ...

The licensed practical nurse participates in the administration of a set of diagnostic, therapeutic ... Participant in data collection Ensuring compliance with planned activities Qualifying and ...

Contribute to the assessment of residents' health status by collecting clinical data, observing ... To provide nursing and medical care, such as the administration of medication, wound care, and ...

CA$90K - CA$100K/yr

A valid licensed Registered Nurse in their working province * Excellent verbal, written and ... with data, science, and technology to deliver bespoke engagement solutions that help clients ...

CA$90K - CA$100K/yr

A valid licensed Registered Nurse in their working province * Excellent verbal, written and ... with data, science, and technology to deliver bespoke engagement solutions that help clients ...

New

Research Technician

Montreal, QC · On-site

CA$33.05 - CA$40.97/hr

Works closely with the Lab manager and Nurse manager to meet team objectives and ensure best ... Records results, performs calculations, and compiles data. * Maintains individual study records for ...

Research Technician

Montreal, QC · On-site

CA$33.05 - CA$40.97/hr

Works closely with the Lab manager and Nurse manager to meet team objectives and ensure best ... Records results, performs calculations, and compiles data. * Maintains individual study records for ...

Entry Level Rn Data Abstractor information

What is an entry level RN data abstractor?

An Entry Level RN Data Abstractor is a registered nurse who collects, reviews, and analyzes medical data from patient records to ensure accuracy and compliance with healthcare standards. They help organizations maintain quality assurance by abstracting pertinent clinical information for reporting and research purposes. This role is ideal for new nurses interested in working with data and supporting improvements in patient care without providing direct bedside care.

What are the key skills and qualifications needed to thrive as an entry level RN data abstractor?

To thrive as an Entry Level RN Data Abstractor, you need a valid RN license, a solid understanding of medical terminology, and familiarity with clinical documentation. Proficiency with electronic health record (EHR) systems, data entry tools, and possibly knowledge of healthcare data abstraction software is often required. Attention to detail, analytical thinking, and strong organizational skills are essential soft skills for this role. These skills ensure accurate data collection and reporting, which are critical for quality improvement and compliance in healthcare organizations.

What is the difference between Entry Level Rn Data Abstractor vs Medical Records Technician?

AspectEntry Level Rn Data AbstractorMedical Records Technician
Required CredentialsRN license, certification in data abstractionHigh school diploma, certification in health information management
Work EnvironmentHospitals, clinics, healthcare facilitiesMedical offices, hospitals, health information departments
Industry UsageHealthcare, clinical data managementMedical record keeping, health information management
Common Search/ComparisonYesYes

Entry Level Rn Data Abstractors and Medical Records Technicians both work in healthcare settings, managing patient data. The main difference is that Rn Data Abstractors are registered nurses with clinical background and specialized training in data abstraction, while Medical Records Technicians typically hold a high school diploma and focus on organizing and maintaining medical records. Both roles are essential for healthcare data management but differ in credentials and scope of practice.

What are some common challenges faced by entry level RN data abstractors, and how can they be overcome?

Entry Level RN Data Abstractors often face challenges such as learning to interpret and extract relevant clinical information accurately from diverse medical records, and adapting to varying documentation styles across healthcare organizations. Attention to detail and strong organizational skills are essential to ensure data integrity and compliance with regulatory guidelines. Overcoming these challenges typically involves thorough initial training, ongoing mentorship from experienced abstractors, and regular communication with clinical teams to clarify ambiguities. Staying updated with evolving abstraction protocols and utilizing available software tools can also help streamline the process.
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Infographic showing various Entry Level Rn Data Abstractor job openings in Quebec as of July 2026, with employment types broken down into 6% Internship, 35% As Needed, 18% Full Time, 2% Part Time, 25% Temporary, and 14% Nights. Highlights an 63% Physical, 3% Hybrid, and 34% Remote job distribution.

Research Assistant 1

Mcgill

Sherbrooke, QC • On-site

Part-time

Posted 7 days ago


Job description

Please refer to theHow to Apply for a Job (for External Candidates)job aid for instructions on how to apply.

If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).

Hiring Manager's Name: Prof. Guillaume Fontaine, RN, PhD

Job Title: Research Assistant 1

Start Date: September 1st., 2026

End Date: August 2, 2027

Number of Work Hours per Week: up to 14 hours per week .

Location of Work: On site (Montreal) .

Hourly Rate: $30.54.

The McGill RISE3 Implementation Science Lab, led by Dr. Guillaume Fontaine, is seeking a part-time (21 hours) Research Assistant 1 to support the ambitious AI Methods for Implementation Science (AIM-IS) program. The AIM-IS program brings together an international team of leading scholars and collaborators to develop a framework, toolkit, and reporting standard for the responsible use of artificial intelligence (AI) in implementation practice and research. This is an exciting opportunity for a researcher who wants to contribute to field-shaping work at the intersection of implementation science, AI, and methodology. The study protocol for this work is published in Implementation Science:

Fontaine, G., Michie, S., Beidas, R. S., et al. (2026). AI Methods for Implementation Science (AIM-IS): Developing a framework, toolkit, and reporting standard for the responsible use of AI in implementation practice and research. Implementation Science.

The Research Assistant 1 under the supervision of Assistant Professor Guillaume Fontaine will be entrusted with a range of responsibilities integral to the successful execution and completion of ongoing and upcoming research projects related to implementation science.

The following outlines the core duties that the Research Assistant will be expected to perform:

1. Knowledge Syntheses and Systematic Reviews:

Screening: Conduct screening of articles to identify relevant resources, employing defined inclusion and exclusion criteria.

Data Extraction: Extract and manage data from selected articles, ensuring the accuracy and completeness of information for qualitative and quantitative analysis.

Quality Assessment: Evaluate the quality of included studies and prepare summaries of findings.

2. Project Coordination:

Planning: Assist in the planning and design of research projects, including the development of methodologies and protocols.

Communication: Coordinate communication between project stakeholders, team members, and external partners.

Monitoring: Track project progress and ensure that milestones and objectives are met timely and efficiently.

3. Writing and Documentation:

Drafting: Assist in writing research papers, reports, and proposals, ensuring clarity, coherence, and compliance with relevant guidelines.

Editing: Review and edit documents, making necessary revisions to enhance quality and accuracy.

Submission: Prepare and submit manuscripts to journals, handling correspondence during the submission and review process.

4. Administrative Tasks:

Documentation: Maintain comprehensive records of project activities, findings, and outcomes.

Scheduling: Organize meetings, seminars, and workshops, managing invitations and logistics.

Reporting: Prepare periodic reports detailing project status, challenges, and achievements.

5. Data Management:

Collection: Assist in data collection processes, ensuring ethical considerations and quality standards are upheld.

Security: Ensure data security, confidentiality, and integrity, adhering to data management policies.

About Dr. Fontaine and the RISE Lab:

Dr. Guillaume Fontaine, PhD, RN, is an Assistant Professor of Implementation Science at the Ingram School of Nursing at McGill University and a Principal Investigator at the Centre for Clinical Epidemiology at the Lady Davis Institute. Prof. Fontaine holds a Junior 1 Research Scholar award from the FRQS, supported by the Quebec Learning Health System Support Unit (SSA Quebec Unit). Additionally, he is a Visiting Researcher at the Kirby Institute, UNSW Sydney, and the Centre for Implementation Research at the Ottawa Hospital Research Institute. He serves on the editorial board of PLOS Global Public Health. Prof. Fontaine completed his clinical training and earned his PhD in health services research at the University of Montreal, where he was a Vanier Scholar of CIHR. After his PhD, Prof. Fontaine completed a CIHR Banting Postdoctoral Fellowship that included work at the University of Ottawa and UNSW Sydney.

Qualifications :

Required Qualifications:

  • MSc in a health-related discipline (e.g., Public Health, Epidemiology, Nursing) or Social Sciences (e.g., Sociology, Psychology)

  • Experience in qualitative research methods

  • Experience in knowledge synthesis methods is an asset

  • Excellent written and oral communication skills

  • Strong analytical and problem-solving skills

Ability to work both independently and as part of a team.

Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.
McGill University is an English-language university where day to day duties may require English communication both verbally and in writing. The level of English required for this position has been assessed at a level # 4(qualifier) on a scale of 0-4.

Hourly Salary:

$30.54

Hours per Week:

14 (Part time)

Location:

Sherbrooke 680

Supervisor:

Assistant Professor

Position Start Date:

2026-09-01

Position End Date:

2027-08-02

Deadline to Apply:

2026-08-05

This position is covered by the Association ofMcGill University Research Employees(AMURE) collective agreement.

McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca.