Anonymization Data Analyst

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 documents. Using our tools you will analyze and mitigate the risk of re-identification for trial participants whose data appears in clinical trials documentation. As an ideal candidate you learn quickly and can produce extremely accurate, precise work within tight timelines. You’re familiar with medical / healthcare language, comfortable with numbers, and your excellent communication skills are complemented by strong technical acumen and the ability to meet tight deadlines.

Responsibilities:

• 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 documents and data. Core responsibilities here include: Pre-processing documents, analyzing lengthy, technical / medical documents (Clinical Study Reports), checking the quality of automated document processing steps and manually securing patient and commercial information where required
  and / or:
  • Identify and classify direct and indirect identifiers, measure and mitigate re-identification risk, determine and apply required 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.

Qualifications:

• Exceptional detail-orientation.
• Ability to learn our methodology and develop a thorough understanding of how directly and indirectly identifying information contributes to the risk of re-identification.
• 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.
• Nice to have - Experience with Adobe PDF and MS Office products (Excel, Word, and PowerPoint) required.
• Candidates ideally would have a degree in one of the following or closely related fields:
• Medicine
• Biostatistics
• Neuroscience
• Epidemiology
• Biomedical Science
• Regulatory Affairs
• Pharmacy
• Pharmaceutical Sciences
• Pharmacology
• Pharmacovigilance
• Biomedical Technology
• Biotechnology
• Genetics (Medical)
• Biology (Medical)
• Biomedical Informatics
• Bioinformatics
• Medical Informatics
• Public Health
• Infection and Immunity
• Health Sciences
• Nursing
• Physiology

Nice to have / beneficial assets:

• ICH guidelines for clinical trial documents and EMA Policy 0070 are valuable assets.
• Ability to understand and navigate MedDRA terms and their hierarchy.
• Medical writing or trial data programming experience.
• 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.
• Experience configuring and working with Natural Language Processing (NLP) tools would be a great asset, but are not a requirement for all positions.

Responsibilities:

• 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 documents and data. Core responsibilities here include: Pre-processing documents, analyzing lengthy, technical / medical documents (Clinical Study Reports), checking the quality of automated document processing steps and manually securing patient and commercial information where required
  and / or:
  • Identify and classify direct and indirect identifiers, measure and mitigate re-identification risk, determine and apply required 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.

At IQVIA, we believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 67,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at jobs.iqvia.com.