Translational Research in Oncology (TRIO) is a global academic clinical research organization dedicated to advancing translational cancer research in the clinical trial setting. Our passionate team is committed to providing cancer treatments of the future to the world of today.

TRIO is looking for a Data Analysis Clerk to join our Monitoring Resource team. Reporting to the MR Administrator Manager, this position will be home-based in Edmonton. This position is a full-time, hourly position for the months of May – August 2026. 

Responsibilities:
This position is responsible for performing any/all of the following tasks and responsibilities, as
well as any other tasks deemed appropriate by the Supervisor:

• In preparation for trial data analysis, produce trackers on outstanding data entry, open
  queries and outstanding SDV at the frequency required by the Study Lead MRc
• Status update reports, as required, using a Clinical Trial Management System (CTMS)
• Updating and configuring of large Excel files (tens of thousands of rows) extracted from
  various systems, in order for the team to perform data analytics
• Work extensively with data in Excel using advanced Excel functions such as VLOOKUP,
  CONCATENATE, Pivot tables, and advanced formulas such as IF, IF AND, TODAY
• Participate in the support of the MR team
• Other duties as necessary

• Related Degree in progress 
• Advanced knowledge in Excel and the ability to format large amounts of data.
• 1-year work experience
• Effective organizational skills, accuracy, and attention to detail
• Ability to work independently, be self-motivated, and prioritize work effectively

• $18.00 per hour
• 37.5 hours per week, Monday to Friday
• Remote Work Arrangement 
• Temporary Summer Work Term

We thank all candidates for their interest; only those selected for an interview will be contacted.
 

Prior to applying please review TRIO's Applicant Information Notice

To support efficiency, TRIO may use limited AI tools during the candidate review process. All hiring decisions are made by people, not AI.

To ensure fairness and an accurate understanding of your skills, we ask that candidates refrain from using AI tools or AI‑generated responses during interviews or assessments. We want the opportunity to get to know you and your experience.

Teamwork · Passion · Integrity · Innovation