Data Acquisition Specialist
India, Remote 求人ID R0000028896 Category Data ManagementAbout this Role
SKILLS
● Able to understand complex interdependencies.
● Communicate independently, proactively and clearly to internal and external stakeholders, able to work autonomously on the non-CRF data strategy for the study team.Take ownership of non-CRF data.
● Identify risks and suggest mitigation plans.
● Influence the study team to adhere to (non-CRF principles) and processes, speak up and challenge where necessary.
● Negotiate contingency plans to mitigate delays of deliverables.
● Can demonstrate curiosity for data and be able to learn fast and think smart.
● Scientific background in at least one of the following: medical, biological, lab, imaging, life sciences.
● Comfortable with working across multiple platforms and tools.
● Experience of clinical trials.
TASKS
● Leads the collection of non-CRF data, during study set-up, conduct and close out activities for multiple studies, contributing to fit for purpose data quality.Including IxRS data loaded into the eCRF.
● Close collaboration with the non-CRF vendors/data providers to set up data transfer agreements and ensure timely and quality non-CRF data delivery.Come to mutual agreements and intelligently negotiate with the vendor and study team to be able to deliver what the study needs.
● Selects and implements appropriate study conventions including non-CRF data collection standards, processes, knowledge sharing and best practices on assigned study(s).
● Proactively develops study level project plans (including contingency plans) to ensure timely delivery of quality non-CRF study data to support project milestones.
● Represents DSD on Study working groups or sub-teams and works with the study team to develop and implement specifications and processes related to non-CRF vendors/data providers.
● Effectively communicates non-CRF data collection deliverables, status of work and data issues to the DQL and other study team members.Coordinates cross-functional non-CRF tasks with strong understanding of downstream processes and stakeholder needs and impacts.
● Identifies the need for new processes and guidance documents.
● In-depth understanding of the business of his or her discipline and the wider DSD organization.
● Understand the conceptual basis for data management conventions, standards and processes.
● Good understanding of the role of data management, biostatistics, statistical programming and the study team in the drug development process.
●Understands compliance, regulatory principles and follow GxP requirements (SOPs, Policies etc).
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