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About the Role

Deliver compliant clinical data and image management activities for commercial projects. Responsibilities include image quality control, data and image transfers, user acceptance testing, and supporting continuous improvement of tooling and processes. A positive attitude and understanding of clinical study data quality and regulatory standards are essential.

Responsibilities

Perform image (DICOM file) quality control activities (de-identification, visual screening etc.) 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 Sponsor and archival.
Support project/study managers in developing and agreeing data and image transfer specifications (agreements) with Sponsor, 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 to develop best working practices in clinical data management relevant to Qureight.
Work with data engineers to support them in developing new and improved methods and tools for managing clinical and image data at Qureight.
Deliver activities on time and to a high standard across the board.
Conduct work in line with Qureight SOPs and in accordance with Good Clinical Practice (GCP) guidelines and all relevant regulations, including ISO27001 standards and data privacy regulations.
Build strong relationships with all stakeholders (with sponsors, with customers and within Qureight) maintaining transparent and consistent communication throughout.

Requirements

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.

Skills

Clinical data management
Image quality control
Data and image transfers
User acceptance testing
DICOM
Jira
Command line tools
Scripts
CT imaging
MRI imaging
PACS
VNA
AWS S3 Data Storage
ICH Good Clinical Practice (GCP)
DICOM metadata tools
Quality Management System (QMS)
ISO 9001
ISO 13485
21 CFR Part 11
ISO2700

Location

Cambridge
London

Work Type

Full-time

Experience Level

Minimum of two years of clinical data management experience

Education Level

A relevant technical degree

Benefits

Annual bonus plan
Private medical insurance
Life insurance
Contributory pension scheme
25 days annual leave
Bank holidays
Enhanced maternity leave

About the Company

Qureight’s mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay.
Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster.
We’re looking for talented people who want their work to matter.
With offices in Cambridge and London, you’ll join our multidisciplinary team of clinicians, scientists, and engineers.
What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials.
At Qureight, we're building a company where data management is treated as a core capability, not an afterthought.
Data management supports every imaging endpoint and biomarker we work with, in respiratory and cardiac trials where accuracy matters and the science is still developing.
If you want complex datasets, are enthusiastic about being part of a growing team and clinical data that genuinely informs trial outcomes, we'd love to meet you.

Equal Opportunity

Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity.
Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply – you may be a great fit, even if you don’t meet every qualification. We’d love to hear from you.
If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.