Job Description:
• Develop familiarity with our anonymization methodology and the use of our tools/software suite.
• 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 sets. Core responsibilities include:
o Pre-processing (loading and cleaning) data sets (i.e. tables)
o Understanding and classifying tables’ and variables’ content
o Identify and classify direct and indirect identifiers
o Measure and mitigate re-identification risk
o Determine and apply required data transformations
o 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.
• Participate in thought leadership and presentations, when requested.
Qualifications:
• Exceptional detail-orientation.
• Working experience with any of SQL, Python, or SAS; willingness to learn new ETL programs.
• Analysis of clinical or healthcare data is required; ability to understand and interpret datasets and variables in clinical trials.
• Ability to learn our methodology and develop a thorough understanding of how directly and indirectly identifying information contributes to the risk of re-identification.
o This is generally demonstrated through experience and comfort with scientific and quantitative disciplines; for example, clinical research, STEM fields, statistics, etc.
• Well-developed communication and interpersonal skills.
• The drive to meet exact deadlines and the flexibility to adapt to shifting priorities.
• Ability to manage sensitive information with the utmost confidentiality.
• 2-4 years of professional experience preferably working with pharmaceutical data or in data and/or document anonymization.
• Would have a degree in Statistics, Health Sciences, Biomedical Sciences, or closely related fields.
• Experience with MS Office products (Excel, Word, and PowerPoint) and Adobe PDF.
Nice to have / beneficial assets:
• CDISC SDTM / ADaM working knowledge.
• Clinical trial programming experience.
• Advanced Python development experience.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.