processing of next-generation sequencing data, alongside maintenance of these pipelines. There will be additional work to integrate genomic sequencing and other molecular datasets generated through research studies with high fidelity clinical data. This work includes the application and evaluation of methods for tasks such as data harmonisation, phenotype representation, genomic analysis and patient or gene prioritisation. Working within research high-performance computing (HPC) environments, the Research Fellow will execute defined research workstreams, contribute to analytical strategy, and generate reproducible and clinically meaningful insights from large-scale genomic and health data.

Research: The post holder will process genomic and multiomic data (including quality control, pipeline maintenance, GenePy score generation) to facilitate personalised diagnostics. They will perform and contribute to original methodological and analytical work, execute defined components of collaborative research projects, support the development of generalisable and scalable pipelines. Additional experience of large-scale clinical data and the use of LLMs across multiple data types and sources is desirable. The successful candidate will contribute to publications, collaborative webtools, presentations, and future funding applications are required. They may also provide day-to-day guidance to students with appropriate support and supervision.

processing of next-generation sequencing data, alongside maintenance of these pipelines. There will be additional work to integrate genomic sequencing and other molecular datasets generated through research studies with high fidelity clinical data. This work includes the application and evaluation of methods for tasks such as data harmonisation, phenotype representation, genomic analysis and patient or gene prioritisation. Working within research high-performance computing (HPC) environments, the Research Fellow will execute defined research workstreams, contribute to analytical strategy, and generate reproducible and clinically meaningful insights from large-scale genomic and health data.

Research: The post holder will process genomic and multiomic data (including quality control, pipeline maintenance, GenePy score generation) to facilitate personalised diagnostics. They will perform and contribute to original methodological and analytical work, execute defined components of collaborative research projects, support the development of generalisable and scalable pipelines. Additional experience of large-scale clinical data and the use of LLMs across multiple data types and sources is desirable. The successful candidate will contribute to publications, collaborative webtools, presentations, and future funding applications are required. They may also provide day-to-day guidance to students with appropriate support and supervision.