Description
Manage end-to-end delivery of data management services for single/multi-service projects with minimal guidance, ensuring quality deliverables on time and within budget, to customer satisfaction.
Provide comprehensive data management expertise to Data Management (DM) team to provide high-quality data management products that meet customer needs.
As a Data Team Lead (DTL), you will provide leadership to the team in project planning, execution, and close-out, as well as oversee financial management for data management activities, communications, and milestone deliverables.
Key responsibilities include:
- Gathering study set-up requirements through discussion and communication with relevant stakeholders
- Supporting the validation of new device integrations with minimal guidance
- Overseeing and performing regular data cleaning activities to ensure clean data with quality and timely deliverables to sponsors
- Ensuring all deliverables meet expected quality standards and customer expectations
- Supporting training for new joiners
- Leading internal study meetings and internal/sponsor audits, and participating in study kick-off meetings and other sponsor meetings
- Tracking and managing projects, overseeing project progress, identifying risks, and taking corrective action to rectify errors
- Managing and overseeing the implementation of new technology/database revisions with guidance
- Working closely with the programming team for process innovation and automation
- Complying with training and eSOP reading requirements
- Providing review and expert opinion in developing, revising, and maintaining core operating procedures and working instructions
Requirements:
- Bachelor's degree in health, clinical, biological, or mathematical sciences, or a related field
- 3-4 years of direct data management experience, including at least 1 year as a CDM project lead
- English fluency (spoken and advanced)
- Advanced computer applications such as Microsoft Excel, Word, and Inbox
- Advanced understanding of drug development lifecycle and overall clinical research process