Clinical Research Data Integration Coordinator

About the role

We are seeking an organised, detail‑oriented Clinical Research Data Integration Coordinator to work within the Cancer B‑cell Group on the CRUK Accelerator Programme “Early Cancer Research Initiative Network on Monoclonal B‑cell Lymphocytosis (ECRIN‑M3)”, led by Professor Francesco Forconi. You will be based in the School of Cancer Sciences, working closely with clinicians, scientists and data specialists to turn real‑world clinical information into clean, analysis‑ready research datasets from patients with leukaemia (e.g. Chronic lymphocytic leukaemia) and lymphomas (e.g. Follicular lymphoma).

Your primary responsibility will be to systematically extract and curate clinical data from medical records (electronic patient record systems and, where applicable, paper notes) and integrate these data into research databases and linked study systems. You will play a central role in maintaining data quality, provenance, and completeness, ensuring robust, reproducible data flows from recruiting sites.

For candidates with relevant interest and experience, there will be opportunities to contribute to analysis support (e.g., descriptive analyses, QC/consistency checks, basic survival summaries) and to develop/manage data pipelines (ETL, validation rules, automation, dashboards) in collaboration with the Clinical Informatics Research Unit (CIRU).

What you’ll do

• Extract and abstract clinical variables from medical records into structured formats aligned to the protocol and data dictionaries.
• Curate, validate and reconcile clinical data with laboratory/biomarker and study datasets; resolve data queries with clinical teams.
• Integrate data into research repositories (e.g., BC Platforms) following SOPs, with clear documentation of provenance and versioning.
• Maintain data dictionaries, mapping tables and coding standards.
• Monitor completeness and quality; run routine QC/consistency checks; manage data corrections and audit trails.
• Liaise with recruiting sites, research nurses and international collaborators to support timely, accurate data flows.
• Adhere to information governance, confidentiality and research ethics requirements (e.g., GDPR, ethical approvals, data access controls).
• Contribute to analyses, dashboards and automated validation/ETL pipelines using SQL/Excel and/or R/Python, support simple visualisations and reports for investigators.

About you

• Experience extracting/abstracting data from electronic medical records and/or clinical notes into structured datasets. 
• Meticulous attention to detail; comfortable navigating diverse clinical documentation. 
• Working knowledge of clinical terminologies/coding (e.g., ICD‑10, SNOMED CT, CTCAE); familiarity with haematology/oncology concepts is desirable. 
• Confident with Excel and at least one research data environment (e.g., SQL‑based tools, ALEA, BC Platforms, or similar data capture/warehouse systems). 
• Understanding of GDPR, confidentiality, research governance and data security in a clinical research setting. 
• Clear communicator who builds strong relationships with clinicians, research nurses and data specialists, and escalates appropriately when decisions or approvals are needed
• Self‑starter who takes ownership and progresses work independently, drawing on guidance and support from CIRU and the wider team when needed
• Proactive and solution‑focused, able to plan and prioritise workload, anticipate blockers, and propose pragmatic improvements to data capture, validation and workflows
• Desirable: basic scripting in R or Python; experience writing SQL for data cleaning/QC; exposure to survival/epidemiological concepts; experience with haematological malignancies or early cancer research

About us

A collaborative team spanning Cancer B‑cell immunology, genomics, molecular/cellular biology, bioinformatics and clinical informatics. The environment combines strong clinical engagement with modern data infrastructure to generate high‑quality real‑world datasets that inform patient care and translational research.

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