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Redcap Data Jobs in Toronto, ON (NOW HIRING)

Special Projects Advisor

Toronto, ON · On-site

CA$83K - CA$139K/yr

Ability and interest to learn new applications such as an electronic medical record and integrated apps that support data collection in healthcare (e.g. Oceon, REDcap etc). Other: * Demonstrated ...

Familiarity with electronic data capture tools, clinical trial management systems, or REDCap * Experience coordinating external partners, sites, or CROs * Work experience in DTC health/wellness ...

Redcap Data information

See Toronto, ON salary details

$9

$35

$80

How much do redcap data jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for redcap data in Toronto, ON is $35.92, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $51.16 per hour, depending on experience, location, and employer.

What is a REDCap data specialist?

A REDCap Data Specialist is a professional who manages and supports data collection, organization, and analysis using the REDCap (Research Electronic Data Capture) platform. Their responsibilities typically include designing databases, ensuring data quality, training users, and providing technical support for research projects. They play a crucial role in facilitating secure and efficient data management for clinical and academic studies.

What are some common challenges faced when managing data in a REDCap data specialist role?

One common challenge in a REDCap Data Specialist role is ensuring data integrity while handling large and complex datasets from multiple studies or sources. Specialists must pay close attention to detail when designing data collection forms and workflows, as errors can affect data quality and analysis outcomes. Additionally, coordinating with researchers and end-users to address their needs while maintaining compliance with data security and privacy regulations can be demanding. Effective communication and organization skills are essential to manage project timelines and resolve issues quickly.

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

To thrive as a REDCap Data Manager, you need a strong background in data management, database design, and familiarity with research protocols, often supported by a degree in health informatics, biostatistics, or a related field. Proficiency in the REDCap platform, as well as knowledge of data analysis tools like SQL, Excel, or statistical software, is typically required. Attention to detail, strong organizational skills, and effective communication are essential soft skills for collaborating with research teams and ensuring data integrity. These abilities are crucial for maintaining accurate, secure, and compliant research data, which supports high-quality research outcomes.

What is the difference between Redcap Data vs Data Analyst?

AspectRedcap DataData Analyst
Required CredentialsExperience with REDCap, data management skillsDegree in statistics, data science, or related field; often certifications in data analysis
Work EnvironmentResearch settings, healthcare, academic institutionsCorporate, healthcare, finance, or tech industries
Employer & Industry UsageResearch institutions, clinical trials, academic projectsBusinesses, government agencies, consulting firms
Common Search & ComparisonRedcap Data vs Data Analyst

Redcap Data specialists focus on managing and extracting data within the REDCap platform, primarily in research and healthcare settings. Data Analysts have broader roles involving analyzing data across various platforms and industries, often requiring statistical skills and certifications. While both roles handle data, Redcap Data is specialized in research data management, whereas Data Analysts perform comprehensive data analysis for decision-making across sectors.

Infographic showing various Redcap Data job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $74,715 per year, or $35.9 per hour.

Data Management Assistant

Hamilton Health Sciences

Hamilton, ON • On-site

Full-time

Re-posted 6 days ago


Key responsibilities

  • Verify study data, identify discrepancies, and ensure data accuracy.

  • Collaborate with study team to design, test, and maintain the study database and edit checks.

  • Oversee data collection, validation, and reporting, and respond to inquiries from study centres.


Job description

The Data Management Assistant's overall purpose is the verification of study data while developing/maintaining the study database, and study reports as well as providing detailed information in response to inquiries from staff and study centres.

Evaluate clinical, laboratory and diagnostic case report forms and identify deviant, discrepant or inconsistent data reporting.

The ability to apply knowledge of the Study Protocol, Good Clinical Practice, Standard Operating Procedures, study plans and other study documents to daily activities.  The ability to apply critical thinking skills to ensure accuracy, effectiveness and efficiency of the study and study related tasks.

Database Development

  • Collaborate with the Research Coordinator, Research Assistant and or Principal Investigator to coordinate the design and        implementation of the study data management database(s), including testing.
  • Collaborate with the Research Coordinator, Research Assistant and or Principal Investigator to create, program, test, implement and maintain study specific Edit Checks.

Study Start Up

  • Create/revise/test/approve Case Report Forms (CRFs), and Reference pages.
  • Collaborate with study team to ensure that sites are provided with the appropriate start up materials.
  • Collate with preparing site initiation power point presentations, creation of study protocol and CRF binders, Log shipment of start-up supplies.
  • Communicate with sites to ensure all specific regulations are being met.

Edit checks and Reports

  • Collaborate with study team and database programmers to implement and test study specific edit checks.
  • Study specific report creation, implementation, analysis and distribution.

Data Validation

  • Oversees the collection, entry, delivery, verification, management, analysis and reporting of data.
  • Conduct, analyze and summarize data audits.
  • Identify deviant, discrepant, or inconsistent data.
  • Applies quality control notes to identify issues with data.
  • Identify issues with database implementation.
  • Identify protocol deviations and lost to follow-up patients.

Follow-up with sites

  • Data quality, overdue visits, source document collected for adjudication.
  • Site questions and concerns, site training.

Site correspondence

  • Responds to inquiries from study centres regarding data quality/issues.
  • Conduct conference calls with the Sponsor and Clinical Research Associates for site updates.

Prepare study materials

  • Prepare for study meetings (collect materials, create presentation slides).
  • Organize travel arrangements.
  • Order supplies.
  • Create slides for scientific meetings.

Research/Data Management Experience:

  • Ability to assess data analytically for quality and consistency.

  • High level of attention to detail, organizational and problem solving skills to ensure overall best data quality.

  • Ability to effectively integrate the requirements for database design and functionality to achieve a high level of data quality.

  • Ability to manage data including database design and development, CRF creating, edit checks, testing and validation while utilizing required systems.

  • Ability to assess and analyze large volumes of data while isolating trends and identifying discrepancies and errors to ensure clean data.

Computer skills

  • Knowledge of REDCap and databases such as ORCCID and IRIS.

  • Proficient in Microsoft Office (Word, Excel, , and PowerPoint).

Communication

  • Excellent written and oral communication skills and ability to work flexible hours

  • Ability to work with a multidisciplinary team (local, national, and international) to produce high quality study results. 

  • Ability to delegate responsibility to other staff and work independently as required.

Assets: 

  • Bachelor's degree in science preferred

  • Working knowledge of HHSC systems, processes, organizational structure and SOPs.

  • Clinical Trial experience.

  • GCP, TCPS2 training.