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Redcap Data Jobs in Toronto, ON (NOW HIRING)

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Redcap Data information

See Toronto, ON salary details

$9

$35

$80

How much do redcap data jobs pay per hour?

As of Aug 16, 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 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 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 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.

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 are the most commonly searched types of Redcap Data jobs in Toronto, ON?

The most popular types of Redcap Data jobs in Toronto, ON are:

Redcap Data jobs near you
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.

Research Data Specialist II

Hamilton Health Sciences

Hamilton, ON • On-site

Full-time

Posted 11 days ago

Job description

The Research Data Specialist II will support the Data Manager I-II, Research Project Coordinator I-III/Research Project Manager IIII to oversee the management and reporting of data. The Research Data Specialist II may also act as an internal team leader responsible for the central data management coordination of one  or more multicenter research studies or as a supporting team member. Collaborate with study team to design and improve workflows between data management with other study processes (e.g. IP management & site management). Assist with the design, creation/setup, testing/validation and modification of database setup documentation (page map, visit map definitions, annotating CRFs for biometric programmers, testing, sending to Sponsor for user acceptance testing (as applicable if external Sponsor). Resolve difficult queries or complicated data issues. Assist with writing, implementing, and updating the data management plan, data validation guidelines. Assist with the design, creation, requesting, and testing/validation of reports (data quality, quality control, DSMB reports, central statistical data monitoring reports). Take and process Helpline calls site assistance with EDC, ROME and Protocol requirements. Communicate with participating clinical centres regarding data issues and query resolution. Develop study support tools, reports, and trackers (i.e. manuals, instructional documents). Development and maintenance of CRF variable mapping according to organizational standards (e.g., CDASH/SDTM/PHRI). Facilitate creation and publishing of databases from development, user acceptance, and production environments in coordination with Clinical Data Operations and Statistics teams. Assist with PHRI Program/Department level improvements in data collection and database build practices and processes. Assist with the design and creation of other databases for the project (e.g., monitoring database, screening database), as required. Other duties as assigned.

1. Undergraduate degree in Business, Computer Science or a Health-related field.
2. Minimum 2-3 years previous experience in multi-centre research studies, or commensurate 
experience.
3. Experience with database management, programming, development, and use of database.
4. Knowledgeable of clinical trial data management practices.
5. Proficient in Microsoft Office Suite.
6. Act as a confident problem-solver who can work independently, adapt to constant change, take 
initiative, self-motivate, be flexible, and multi-task.
7. Highly developed communication skills (written and verbal), including the ability to work with 
various sites, problem solving and critical thinking skills and ability to work flexible hours.
8. Working knowledge of ICH-GCP Guidelines and international research requirements.
9. Familiarity with electronic data capture software and data authoring software such as 
Framemaker, iDataFax, TrialMaster, RedCAP.
10. Preferred: Working knowledge of PHRI systems, processes, organizational structure and SOPs.

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