Data Acquisition Standards Associate
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About The Position
IQVIA is hiring for a Data Acquisition Standards Associate, which is at a Principal, SME level. This position is integral to our sponsor-dedicated team, working fully within the environment of a prominent pharmaceutical company. The primary responsibility of this role is to drive the data standards and governance of the Sponsor's clinical data standards related to data acquisition and data collection. The Data Acquisition Standards Associate will provide leadership for the continued development and enforcement of data standards, with a specific focus on data acquisition standards. This role requires extensive collaboration with Clinical Data Management and Clinical Programming teams to ensure that data standards are effectively implemented and maintained. In collaboration with the Data Collection Standards, SDTM Standards, ADaM Standards, and Analysis Planning & Reporting Standards individuals, the Data Acquisition Standards Associate will work to implement data standards after assessing their downstream impact. This includes maintaining consistency with other data standard states to ensure accurate and seamless use of end-to-end data standards. The solutions provided will involve managing the design of existing macros for derivations within the clinical data pipeline and for data quality review purposes, as well as the creation and up-versioning of raw-plus mapping specifications. The role also involves regular meetings with subject matter experts from various standards teams to create holistic standard solutions for study/project teams, ensuring quality, consistency, and compliance with CDISC standards that support the exchange of data. The Data Acquisition Standards Associate will serve as a subject matter expert on Data Acquisition and Raw-plus standards and may also provide guidance to technical individuals, including external vendors or third-party organizations, to develop and implement strategies and/or tools. This position requires an in-depth knowledge of clinical trial processes for data transformations, analysis, and governance, as well as the ability to create quality control processes and metrics to ensure compliance with CRF and Non-CRF standards.
