Data Validation Specialist

By | March 27, 2021


Job Description:TRIO (Translational Research in Oncology) is a clinical research organization that is dedicated to advancing translational cancer research by pursuing forward innovative and targeted therapeutic concepts in the clinical trial setting. We are committed to providing treatments of the future to the world of today. TRIO’s head office is in Edmonton, Alberta, Canada, with operations all throughout Canada, the USA, France, and Uruguay. TRIO is looking for a Data Validation Specialist to join our Edmonton, Canada office. Responsibilities include:Review clinical data collected in the patient electronic Case Report Form (eCRF) in order to ensure consistency and accuracy of the data. Generate queries to the sites where inconsistencies in the data or missing data have occurred.Review answers to the queries, provided by the sites, in order to ensure adequate resolution of the issues found.Track the progress of the data cleaning activity compared to the study plan in order to adequately plan trial analyses.Track protocol deviations identified during the data cleaning process.Participate in the review of other study documents (e.g. guidelines, specifications, newsletters, manuals and reports) associated with data validation activities. Qualifications: Bachelor’s degree, in a science/health-related field, a medical background is preferred.Minimum one-year experience in Clinical Research, or medical field.Demonstrate high attention to detail, accuracy, and thoroughness.Work well under pressure to meet project deadlines.Intermediate proficiency in MS Office and other software applications.Fluent in English, written and verbal.What we can offer you: Competitive salary3 weeks of vacation 10 personal days5% RRSP contributions by TRIOLife, health, & dental premiums paid by TRIO.Monthly transportation allowance or Internet Allowance We thank all candidates for their interest; only those selected for an interview will be contacted. Powered by JazzHR TC6WJtBKTX Job ID: 39166753
Translational Research in Oncology

View original article here Source