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Clinical Trials Data Anonymization Analyst

IQVIA Ottawa, Ontario Full-Time
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Job Description

IQVIA™ is the leading human data science company focused on helping healthcare clients find unparalleled insights and better solutions for patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness the power of healthcare data, domain expertise, transformative technology, and advanced analytics to drive healthcare forward.

Clinical Trials Data Anonymization Analyst

This position is with Privacy Analytics’ Clinical Trials Transparency (CTT) team in Ottawa, Canada. For more information about Privacy Analytics, please visit us at [ Link removed ] - URL blocked - click to apply

Our Professional Services team is growing. We’re hiring Clinical Trials Data Anonymization Analysts to support an expanding line of business. In this role you’ll be end-to-end responsible for anonymization projects of client data sets. Using our tools you will analyze and mitigate the risk of re-identification for trial participants whose data appears in clinical trial Structured Individual Patient (S-IPD) data sets. As an ideal candidate you learn quickly and can produce extremely accurate, precise work within tight timelines. You’re familiar with clinical trial data formats (CDISC SDTM, ADaM), medical / healthcare language, comfortable with numbers and statistics, and your excellent communication skills are complemented by strong technical acumen and the ability to meet tight deadlines.


Develop familiarity with our de-identification methodology. Own assigned projects or project tasks and deliver such on time and with the required quality, providing timely and transparent status updates and managing client expectations. Process clients’ clinical trials data set. Core responsibilities here include: Pre-processing (loading and cleansing) data sets, understanding and classifying tables, variables, and relevant relationships. and / or:Identify and classify direct and indirect identifiers, measure and mitigate re-identification risk, determine and apply required data transformations.Facilitate the creation of anonymization reports and other client deliverables.Collaborate closely with other team members, ensuring that all work meets established quality standards and is completed on time. Participate in peer-reviews of work products. Identify and communicate tool enhancements/refinements and relate defect documentation to developers and researchers.


Exceptional detail-orientation. Ability to understand and interpret structures and variables in clinical trial data sets. Ability to learn our methodology and develop a thorough understanding of how directly and indirectly identifying information contributes to the risk of re-identification. This is generally demonstrated through experience and comfort with scientific and quantitative disciplines for example, clinical research, STEM fields, etc. Well-developed communication and interpersonal skills. The drive to meet exacting deadlines and the flexibility to adapt to shifting priorities. Ability to manage sensitive information with the utmost confidentiality. Working experience with SQL (MS SQL server), SAS, R, and statistical analysis of clinical or healthcare data would be a great asset, but are not a requirement. Candidates ideally would have a degree in one of the following or closely related fields: Biostatistics Statistics Mathematics Epidemiology Neuroscience Biomedical Science Regulatory Affairs Pharmacy Pharmaceutical Sciences Pharmacology Pharmacovigilance Medicine Biomedical Technology Biotechnology Genetics (Medical ) Biology (Medical ) Biomedical Informatics Bioinformatics Medical Informatics Infection and Immunity Health Sciences

Nice to have / beneficial assets:

CDISC SDTM / ADaM working knowledge. Ability to understand and navigate MedDRA terms and their hierarchy. Medical writing or trial data programming experience. Experience with Adobe PDF and MS Office products (Excel, Word, and PowerPoint).

Recommended skills

Medical Writing
Clinical Research
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Job ID: 742248


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