Lead and deliver AI initiatives focusing on traditional machine learning and generative AI for Mashreq Bank. Build, scale, and productionize models for business transformation and operational efficiency.
About the role
- Senior Clinical Data Manager leading end-to-end clinical data management for global studies. Ensuring data quality and compliance, collaborating with stakeholders in a remote setup.
Responsibilities
- Serve as the primary study‑level Data Management (DM) lead or co‑lead, providing strategic direction for all DM activities.
- Provide day‑to‑day oversight and guidance to Clinical Data Managers, Clinical Data Coordinators, and/or Data Associates.
- Lead internal study team meetings and contribute to sponsor meetings.
- Track study progress, identify risks, and implement corrective and preventive actions.
- Support financial oversight by monitoring study budgets for DM activities and tracking deliverables against the Scope of Work (SOW).
- Ensure all DM deliverables meet internal quality standards, regulatory expectations, and contractual timelines.
- Collaborate with the programming teams to enhance efficiency, streamline processes, and support innovation initiatives.
Requirements
- A minimum of 6 years of hands‑on experience in the Clinical Data Manager project lead role, preferably in global Phase II–III oncology trials, with a CRO background.
- Proven end‑to‑end data management lifecycle expertise, including database build, data cleaning, medical coding, SAE reconciliation, data review, and database lock.
- Strong understanding of CDISC standards (SDTM), ICH‑GCP, regulatory requirements, and industry best practices.
- Experience working with leading EDC systems (e.g., Medidata Rave, Inform, Veeva, or equivalent).
- Advanced problem‑solving skills and a proactive, solution‑oriented approach to challenges.
- Proven ability to plan, coordinate, and organize complex tasks with precision and attention to detail.
- Experience contributing to budget tracking or financial oversight within study operations is beneficial.
Benefits
- Flexible working hours
- Opportunities for research and development
- Remote work options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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