We are seeking an experienced and detail-oriented Associate Lead Data Manager to oversee data management activities across multiple clinical projects. In this role, you will ensure high-quality data delivery in line with sponsor requirements, while collaborating with cross-functional teams, sites, and external partners.**
Qualifications & Requirements**
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Education: Master’s degree in Life Sciences / Postgraduate in Science / Bachelor of Pharmacy or equivalent preferred.
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Strong understanding of the drug development lifecycle and overall clinical research processes.
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Proficiency in English (spoken and written).
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Advanced skills in Microsoft Office applications (Excel, Word, Outlook).
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Strong analytical, organizational, and problem-solving abilities.
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Excellent communication and stakeholder management skills.
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Ability to manage multiple projects and meet deadlines in a fast-paced environment.
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Gather study set-up requirements through effective communication with stakeholders.
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Lead database set-up, configuration, and validation to ensure optimal study design and data integrity.
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Support validation and implementation of new device integrations.
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Perform ongoing data cleaning activities to ensure accurate, timely, and high-quality deliverables.
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Ensure all outputs meet established quality standards and client expectations.
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Train and mentor new team members.
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Lead internal study meetings, participate in sponsor meetings, and support audits and study kick-offs.
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Track and manage project progress, identify risks, and implement corrective actions in collaboration with the Data Team Lead (DTL).
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Oversee database revisions and support the adoption of new technologies.
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Collaborate with programming teams to drive process improvements and automation initiatives.
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Ensure compliance with all required training and electronic SOPs (eSOPs).
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Contribute expertise to the development, review, and maintenance of standard operating procedures (SOPs) and work instructions.
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Maintain effective, collaborative communication with leadership, line managers, and cross-functional teams.