THE ROLE

Are you experienced in managing clinical data and ensuring its accuracy? Do you have the technical skills to handle imaging-related datasets and streamline workflows with Python?If so, this could be the perfect opportunity for you!
We are MyCardium AI, an innovative company at the forefront of cardiac imaging and AI technology. We are now seeking a Data Manager to join our growing team in Liverpool.
You will be responsible for managing the lifecycle of clinical study data, ensuring accuracy, compliance and smooth data handling processes. Working closely with project managers, imaging analysts and sponsor representatives, you will help ensure that study data is reliable, secure and supports high-quality clinical outcomes.
If this sounds like the right opportunity for you, we’d love to hear from you. Apply today and join us on our journey to transform healthcare with AI.

KEY RESPONSIBILITIES:

• Coordinate and schedule data returns for clinical studies, ensuring clear communication and setting expectations with Core Lab clinical readers.
• Perform data cleaning and quality control (QC) checks to ensure the accuracy, reliability and integrity of clinical trial data.
• Develop and implement Python based automation scripts to optimise data handling processes, ensuring compliance with data governance standards in Core Labs.
• Oversee accurate and consistent filing of study documentation and project related data to maintain compliance with regulatory and organisational standards.
• Draft, review and finalise documents such as Data Transfer Agreement (DTA) and data approval forms in alignment with study protocols.
• Manage the data lifecycle, including monitoring data integrity verification and reporting, to support accurate interpretation of clinical trial outcomes.
• Generate detailed reports to support operational workflows and enhance data-driven decision making with clinical reports.
• Liaise with project managers, imaging analysts, and sponsor representatives to align data handling practices with project goals and regulatory expectations.
• Maintain data pipelines specific to medical imaging formats (e.g., DICOM), including anonymisation, metadata integrity checks, and format conversions.