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View our Virtual tourCourses - May 2025
Level 1
Course details
Effective Communication in Clinical Research
COMM8540
Conestoga 101
CON0101
Good Clinical Practice and Research Ethics
ETHS8070
Managing Clinical Research
MGMT8335
Clinical Quality Assurance Foundations
QUAL8460
Introduction to Clinical Research
RSCH8170
Clinical Research Regulation
RSCH8210
Clinical Laboratory Procedures: Microbiology, Physiology, and Pharmacology
RSCH8220
Level 2
Course details
Career Management
CDEV8132
Clinical Research Data Management and Biostatistics
RSCH8230
Clinical Trial Design and Administration
RSCH8240
Epidemiological Studies Design and Administration
RSCH8250
Clinical Research Project Management
RSCH8260
Artificial Intelligence in Clinical Research
RSCH8270
Clinical Research Capstone
RSCH8280
Please note:
Estimated required text and/or learning resource costs are based on the most recent available data through the Conestoga Campus Store.
Program outcomes
- Develop, implement and maintain processes and Standard Operating Procedures to execute clinical research projects that align with principles of quality assurance and comply with applicable regulatory frameworks and best practices.
- Communicate and collaborate with relevant stakeholders to complete research studies according to requirements.
- Collect, verify and oversee the integrity of research data from acquisition to recording.
- Monitor project progress to proactively resolve project related challenges to mitigate risks and improve quality of projects.
- Obtain and maintain required ethical and regulatory approvals to ensure the protection and safety of clinical trial participants and the integrity of research data.
- Manage the operations of research projects to ensure compliance and completion within time and budget constraints.
- Identify and apply strategies to support culturally safe research settings involving diverse communities.
- Participate in professional development activities to maintain currency and compliance in a changing clinical research industry.
- Employ artificial intelligence, such as machine learning to guide clinical research development, improve data, and provide quality checks to ensure accuracy and efficiency