Data Reviewer - Plymouth Meeting
The Data Reviewer will work closely with the Data Manager or designee in order to have a comprehensive understanding of the trials supported and collaborate on the data cleaning and monitoring activities needed based on the Data Management Plan (DMP). Furthermore, the Data Reviewer must be able to identify effective ad hoc monitoring solutions in response to new or emergent scenarios while maintaining the quality and integrity of the data. Therefore, an ideal candidate will demonstrate a strong analytical and rigorous thought process. All changes to the eCOA database are managed in line with the company’s quality management system and supported by the appropriate study documentation to guarantee compliance with regulatory authorities and/or the company’s Sponsors.
This position will interact daily with the Data Manager and Project Delivery resources of the company.
CRF Health aspires to be the market leading provider of patient centred eSource technology and service solutions focused on flexibility and innovation, underpinned by deep regulatory and technical knowledge and high-quality service delivery.
We have operations in Finland, the US, Romania and the UK and continue to grow in terms of revenues, customer numbers and employees.
CRF Health creates electronic Clinical Outcome Assessment (eCOA) solutions that are simple, scalable, and effective. From our collaborative, agile design approach to our user-friendly reporting tools, we streamline complex processes and deliver reliable results for superior clinical trial outcomes. We improve patient engagement with intuitive design, support study teams with tailored scientific insights, and secure high-quality data with precision. Above all, we ease the path to approval.
Our personalized service and unparalleled eCOA expertise helps sponsors bring new medicine to market quickly and cost-effectively, improving lives across the world. More information on CRF Health to be found at www.crfhealth.com
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The "Behaviours" we will measure you against - the "how you do it" - includes:
How do the decisions in the design and analysis of mode equivalence studies affect study outcomes? Learn more