Guy's and St Thomas' NHS Foundation Trust
Job summary
This is an exciting opportunity to take a key role in the AI Centre for Value-Based Healthcare, working with the Guy’s Cancer Real-World Evidence (RWE) team.
The Clinical Informatician (Senior Cancer RWD Analyst) bridges RWD and RWE, with a focus on thoracic cancers. The post-holder will curate and develop regulatory-grade, deep cancer data assets, ensuring that outputs are clinically meaningful, aligned with research and commercial needs, and grounded in real-world cancer care delivery.
Essential Criteria:
- Clinical background with understanding of oncology domain
- Expertise in clinical data and informatics, including source systems and clinical and oncology-specific vocabularies
- Expertise in SQL and Python (+/- R) to engineer and analyse datasets, validate cohort definitions, and generate insights and visualisations
- Understanding of cancer clinical research, pharma study / clinical trials, and regulatory requirements for RWD/RWE in oncology
- Excellent stakeholder engagement skills, with the ability to translate between engineering, clinical, and scientific audiences
- Excellent project management skills
Desirable Criteria:
- Experience overseeing clinical validation of NLP-derived features extracted from unstructured medical records
- Track record of high-impact research output and/or commercial partnership delivery in RWE
- Experience building or working with solutions on cloud data platforms (e.g. Snowflake)
Main duties of the job
Main duties of the job
- Curate and develop regulatory-grade, deep cancer data assets, focused initially on thoracic malignancies, by defining and validating cohort logic, clinical variables, and derived endpoints.
- Oversee clinical validation of features extracted from unstructured records (clinic letters, radiology, pathology, MDT) and feed back into pipeline improvement.
- Act as the clinical-informatics bridge between AI Centre data engineers and the Guy’s Cancer RWE team, translating between clinical, scientific, and engineering audiences.
- Take the analytical lead on highly complex cancer data, devising methods, setting data-quality KPIs, and making evidence-based recommendations to stakeholders.
- Engage and influence clinical, academic, and commercial partners, and contribute to research outputs and longer-term strategic partnerships.
- Lead and mentor within matrixed project teams, supporting capability-building and the effective use of project resources.
Person Specification
Background
Essential
- Clinical background with an understanding of the oncology domain
- Understanding of cancer clinical research, pharma study / clinical trials, and regulatory requirements for RWD/RWE in oncology
Desirable
- Experience overseeing clinical validation of NLP-derived features extracted from unstructured medical records
- Track record of high-impact research output and/or commercial partnership delivery in RWE
Technical
Essential
- Expertise in clinical data and informatics, including understanding of source systems and clinical and oncology-specific vocabularies
- Expertise in SQL and Python (+/- R) sufficient to engineer and analyse datasets, validate cohort definitions, and generate insights and visualisations
Desirable
- Experience building or working with solutions on cloud data platforms (e.g. Snowflake)
General
Essential
- Excellent stakeholder engagement skills, with the ability to translate between engineering, clinical, and scientific audiences
- Excellent project management skills
Closing Date: 21 July 2026
To apply for this job please visit apps.trac.jobs.