An exciting opportunity has arisen for a skilled and motivated Bioinformatician with strong interpersonal skills and a collaborative approach to join the Translational Research team within the Clinical Genomics department. Based at the Centre for Molecular Pathology, one of seven national Genomic Laboratory Hubs offering cancer genomic testing in England, this state‑of‑the‑art facility brings together translational science and molecular diagnostics. It is one of the leading laboratories in Europe specialising in molecular diagnostics of cancer. With the increasing demand for genetic and genomic data, the Centre is expanding its capability to analyse genomic information to deliver personalised molecular medicine and support biomarker discovery and validation across all cancer types.
We are seeking an enthusiastic Research Bioinformatician to contribute to the delivery of the molecular genetic service, with the overarching aim of improving cancer diagnosis and patient outcomes. The post‑holder will be responsible for the development and maintenance of the in‑house web portal, MarsGen Reporter, which supports specialised genomic molecular diagnostic investigations in tumour tissues. They will also play a key role in maintaining and validating the facility, including implementing analysis pipelines for clinical next‑generation sequencing and other genomic protocols to advance personalised cancer medicine.
The postholder will contribute to the development, validation and implementation of Artificial Intelligence and Machine Learning methodologies to enhance genomic data analysis and interpretation in a clinical setting. Working within the Translational Research and Bioinformatics team, the Research Bioinformatician will support translational research, optimise data pipelines for high‑throughput sequencing, and integrate AI/ML approaches into clinical workflows. The role involves close collaboration with clinicians, scientists, data engineers and external partners to ensure research outputs are robust, reproducible and clinically relevant.
In addition, the postholder will design and develop web portals for data visualisation, support scientists with NGS data analysis and interpretation, and manage data storage, backup and user support. They will also contribute to staff training, documentation and SOPs, ensuring compliance with legal and ethical standards for handling and transmitting genetic and sensitive patient data.
The Royal Marsden NHS Foundation Trust is a world‑leading cancer centre. Our role is to offer our patients the best cancer care available anywhere in the world, and to continue to make a global contribution to finding better ways of diagnosing and treating cancer. We employ over 4,500 staff in a diverse range of careers including nursing, medical, science, radiography, pharmacy, occupational therapy, finance and administrative services. We have two hospitals – one in Chelsea, London, and one in Sutton, Surrey – as well as a Medical Daycare Unit in Kingston Hospital.
We are looking for employees who aspire to excellence, share our values and can play a crucial role in our ongoing achievements.
Key Responsibilities
* Develop, validate and maintain computational tools, workflows and databases for the application of AI/ML in clinical and genomic data analysis.
* Design and implement algorithms for data interpretation, multi‑omics integration and predictive modelling to support translational and clinical research.
* Collaborate with clinicians, scientists and IT teams to develop scalable, automated analysis pipelines using high‑performance and cloud‑based computing systems.
* Ensure secure organisation, storage and backup of all research and clinical data in compliance with NHS data governance and security standards.
* Provide scientific and technical expertise in the validation, deployment and interpretation of AI/ML tools in clinical contexts.
* Maintain accurate documentation, update Standard Operating Procedures (SOPs) and contribute to quality improvement activities.
* Produce analytical reports, data visualisations and presentations, and contribute to scientific publications.
This advert closes on Monday 10 Nov 2025.
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