Data Manager

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This range is provided by MyCardium AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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.

This role is 4 days office based (Liverpool)/1 day WFH.

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.

The Company

Founded in 2022, MyCardium AI is a spin-out from University College London. Our aim is to transform healthcare delivery using AI for cardiac MRI and Echo analysis. We're a passionate team committed to excellence, innovation, and creating a positive and inclusive work environment.

The Person

• Educated to degree level, preferable in relevant subject area such as biomedical informatics, computer science, health information management, data science, life science or biomedical engineering.
• Certification in clinical data management, Python, AI, data analytics and CDASH basics are all desirable.
• Proven experience in clinical data management, ideally in imaging core lab or CRO environments.
• Strong understanding of clinical trial data lifecycles, regulatory standards, and Good Clinical Practice (GCP).
• Experience with handling and transferring imaging-related data (DICOM).
• Demonstrated proficiency in Python for data automation, scripting, and workflow optimisation.
• Experience working with secure data transfer tools and data governance frameworks.
• Strong organisational skills and attention to detail, with the ability to manage multiple concurrent studies.
• Excellent communication and documentation skills; able to interface with clinical, technical, and regulatory teams.
• Experience with regulatory documentation such as Data Transfer Agreements (DTA), SOPs, and data management plans.

Seniority level

• Seniority level
• Not Applicable

Employment type

• Employment type
• Full-time

Job function

• Job function
• Information Technology and Management
• Industries
• Software Development

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