Clinical Informatician (Senior Cancer RWD Analyst)

Main Duties and Responsibilities • Support the development of deep cancer data assets, with a primary focus on thoracic malignancies (NSCLC, SCLC, TET and mesothelioma), with possible subsequent expansion to other tumour types. • Define and validate cohort logic, clinical and pathological variables, derived endpoints (e.g. real-world progression, response, treatment lines), and data quality rules, in collaboration with engineers and the Guys RWE thoracic team. • Oversee clinical validation of NLP-derived features extracted from unstructured sources (clinic letters, radiology, pathology, MDT documentation), and feed back into model and pipeline improvement. • Produce supporting documentation around data provenance, derivation logic, and quality, in line with regulatory requirements for RWD/RWE generation. • Help to create standardised, tested, and fully provenanced cancer datasets to support both research and commercial delivery. • Enable the thoracic RWE team to deliver international academic collaborations within the RWE international programme, such as IASLC. • Develop analytic tools, datasets, and insights that support business planning, decision-making, and research prioritisation across the cancer RWD/RWE programme. • Evaluate and analyse highly complex and sometimes contentious cancer data using tested and credible tools, applying robust problem-solving to identify root causes of data-quality issues and opportunities for improvement. • Determine and track key performance indicators for the depth, coverage, and quality of cancer data assets, working collaboratively with clinical leads and operational teams. • Manage analytical projects from inception to completion, working autonomously and demonstrating a leadership style consistent with the Trust values. Job description Job responsibilities Main Duties and Responsibilities • Support the development of deep cancer data assets, with a primary focus on thoracic malignancies (NSCLC, SCLC, TET and mesothelioma), with possible subsequent expansion to other tumour types. • Define and validate cohort logic, clinical and pathological variables, derived endpoints (e.g. real-world progression, response, treatment lines), and data quality rules, in collaboration with engineers and the Guys RWE thoracic team. • Oversee clinical validation of NLP-derived features extracted from unstructured sources (clinic letters, radiology, pathology, MDT documentation), and feed back into model and pipeline improvement. • Produce supporting documentation around data provenance, derivation logic, and quality, in line with regulatory requirements for RWD/RWE generation. • Help to create standardised, tested, and fully provenanced cancer datasets to support both research and commercial delivery. • Enable the thoracic RWE team to deliver international academic collaborations within the RWE international programme, such as IASLC. • Develop analytic tools, datasets, and insights that support business planning, decision-making, and research prioritisation across the cancer RWD/RWE programme. • Evaluate and analyse highly complex and sometimes contentious cancer data using tested and credible tools, applying robust problem-solving to identify root causes of data-quality issues and opportunities for improvement. • Determine and track key performance indicators for the depth, coverage, and quality of cancer data assets, working collaboratively with clinical leads and operational teams. • Manage analytical projects from inception to completion, working autonomously and demonstrating a leadership style consistent with the Trust values.