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Clinical Trials Data Anonymization Analyst, Privacy Analytics (R1080955) in Warsaw, PL at IQVIA™

Date Posted: 5/20/2019

Job Snapshot

Job Description

Join us on our exciting journey! IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.

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.


  • Fluent English language skills.
  • 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.

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).

Please note, we have several vacancies available for contracts of between 12 and 24 months, and with the possibility of permanent employment.

We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. Whatever your career goals, we are here to ensure you get there! We invite you to join IQVIA™

Job ID: R1080955


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