Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Curate and integrate clinical data for groundbreaking cancer research projects.
- Company: Join a leading university's Cancer B-cell Group with a focus on innovation.
- Benefits: Flexible working, professional development, and a supportive community.
- Why this job: Make a real impact in cancer research while developing your data skills.
- Qualifications: Experience with clinical data extraction and a keen eye for detail.
- Other info: Collaborative environment with opportunities for career growth and networking.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
We welcome applications from all sections of the community and support flexible working where possible. If we receive a high volume of applications, we may close the vacancy early—please apply as soon as you are ready.
We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity. The University is a signatory of the Technician Commitment and a partner affiliate of the National Technician Development Centre (NTDC). We are committed to supporting our technical staff and offer a wide range of opportunities including networking, mentoring, training, professional registration and career development. We really value all our technical staff and recognise the broad range of skills they have in support of education, research and enterprise activities. By joining you will be part of a bigger technical community, offering support and guidance.
Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or recruitment@soton.ac.uk quoting the job number.
Clinical Research Data Integration Coordinator in Southampton employer: University of South Hampton
Contact Detail:
University of South Hampton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Research Data Integration Coordinator in Southampton
✨Tip Number 1
Network like a pro! Reach out to professionals in the clinical research field on LinkedIn or at industry events. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Familiarise yourself with their work in cancer research and think of how your skills can contribute. Show them you’re not just another candidate!
✨Tip Number 3
Practice your data integration skills! Brush up on SQL, Excel, or any relevant tools mentioned in the job description. Being able to demonstrate your technical prowess can set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our team at StudySmarter.
We think you need these skills to ace Clinical Research Data Integration Coordinator in Southampton
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with clinical data extraction and curation. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant expertise!
Show Off Your Attention to Detail: Since this role requires meticulous attention to detail, give examples in your application that demonstrate your ability to manage data quality and completeness. We love candidates who can spot the little things that make a big difference!
Communicate Clearly: We’re looking for clear communicators who can build strong relationships with various teams. Use your application to show us how you’ve effectively collaborated with clinicians or data specialists in the past.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at University of South Hampton
✨Know Your Data Inside Out
Make sure you’re familiar with the types of clinical data you'll be working with, especially in relation to leukaemia and lymphomas. Brush up on clinical terminologies like ICD-10 and SNOMED CT, as well as any relevant coding standards. This will show your interviewers that you’re not just a data whiz but also understand the clinical context.
✨Demonstrate Attention to Detail
Since this role requires meticulous data curation, prepare examples from your past experiences where your attention to detail made a difference. Whether it was catching an error in a dataset or ensuring compliance with GDPR, having specific anecdotes ready will highlight your suitability for the role.
✨Showcase Your Technical Skills
Be ready to discuss your experience with tools like SQL, Excel, or any data integration platforms you've used. If you have basic scripting skills in R or Python, mention how you've applied them in previous roles. This will demonstrate your technical capability and readiness to contribute to data pipelines and analyses.
✨Communicate Clearly and Build Rapport
This position involves liaising with various stakeholders, so practice articulating your thoughts clearly. Think about how you can build relationships with clinicians and data specialists. During the interview, ask insightful questions that show your interest in collaboration and teamwork, which are key in this role.