Data Manager - Lead (Data Acquisition Specialist)

SKILLS

●Able to understand complex interdependencies.

● 6+yrs of experience in Data Acquisition domain.

●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).