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Qureight

Clinical Data Manager

Qureight

. Deliver compliant clinical data and image management activities for commercial clinical study projects .

Posted 9/24/2026full-timeCambridge • United KingdomJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in clinical data management and image quality control, with a strong focus on compliance with Good Clinical Practice and relevant regulatory standards. Proven ability to collaborate with technical teams and manage stakeholder relationships effectively.

Highest-signal resume keywords
Clinical Data ManagementDICOM File Quality ControlGood Clinical Practice (GCP)PACS/VNA/AWS S3 Data StorageQuality Management System (QMS)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Image Quality ControlData ReconciliationUser Acceptance TestingCommand Line ToolsMetadata Inspection and ModificationClinical Imaging Data ManagementData Query ResolutionTechnical Input for Data SpecificationsContinuous ImprovementAttention to Detail
Soft Skills
Relationship BuildingCommunicationTenacityProblem-Solving
Tools & Technologies
Qureight Imaging PlatformJira
Certifications & Qualifications
Relevant Technical DegreeICH Good Clinical Practice Training
Industry Keywords
ISO27001ISO 9001ISO 1348521 CFR Part 11Clinical Research Organisation

Tech Stack

Tools & technologies
AWS

About the role

Key responsibilities & impact
  • Deliver compliant clinical data and image management activities for commercial clinical study projects
  • Perform image (DICOM file) quality control activities, including de-identification and visual screening, in line with work instructions and best practice
  • Raise data queries and support external and internal staff in their resolution
  • Conduct data reconciliation activities and deliver image and data transfer packages to sponsors and archival
  • Support project/study managers in developing and agreeing data and image transfer specifications with sponsors, providing technical input where required
  • Conduct user acceptance testing on project-specific configurations of the Qureight Imaging Platform
  • Suggest and deliver revisions to work instructions and SOPs as part of continuous improvement
  • Work with data engineers to develop improved methods and tools for managing clinical and image data
  • Deliver activities on time and to a high standard
  • Conduct work in line with Qureight SOPs, Good Clinical Practice guidelines, ISO27001 standards, and data privacy regulations
  • Build strong relationships with sponsors, customers, and internal stakeholders through transparent and consistent communication

Requirements

What you’ll need
  • Minimum of two years of clinical data management experience, ideally in an imaging Clinical Research Organisation or Core Imaging Lab
  • Experience working with technical teams and interacting via tools such as Jira
  • Comfortable working with data via command line tools and scripts
  • Demonstrated experience with clinical imaging related data, such as CT or MRI in DICOM formats, and/or other clinical variables
  • Knowledge of PACS/VNA/AWS S3 Data Storage
  • Demonstrated ability to cultivate and maintain key stakeholder relationships, both internally and externally
  • Knowledge of ICH Good Clinical Practice (GCP) with evidence of recent training
  • Track record of demonstrating a good attention to detail
  • Evidence of a can-do attitude with a tenacity and drive to achieve objectives
  • Experience with tools for inspecting and modifying metadata in DICOM imaging files
  • Experience working within a Quality Management System (QMS), e.g., ISO 9001, ISO 13485
  • Knowledge of relevant regulatory, compliance and industry standards, e.g., 21 CFR Part 11, and ISO2700
  • A relevant technical degree
  • Experience working in a lean, fast-paced environment

Benefits

Comp & perks
  • An annual bonus plan
  • Private medical insurance
  • Life insurance
  • A contributory pension scheme
  • 25 days annual leave, plus bank holidays
  • Enhanced maternity leave
  • A diverse work environment bringing together experts in software engineering, devops, data science, machine learning, quality assurance, regulatory affairs, and clinical operations