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A leading company in cancer research is seeking a Research Fellow in Computational Biostatistics. The successful candidate will utilize biostatistics to address complex questions within a technology-driven research environment, focusing on multimodal data analysis, including spatial transcriptomics and single-cell analysis. This role involves close collaboration with clinical and bioinformatics teams as well as the responsibility of enhancing statistical awareness across the organization. This is a full-time position with a fixed-term contract until March 2027.
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Research Fellow in Computational Biostatistics
Department : Comprehensive Cancer Centre
The Faculty of Life Sciences & Medicine at King’s College London seeks to appoint a Senior Bioinformatician (Pharos AI) in the Comprehensive Cancer Centre, which is the academic arm of one of the leading cancer centres in Europe bringing together world-class clinical services delivered by our NHS partners, with research and education for the benefit of cancer patients in South East London and beyond.
About PharosAI
PharosAI offers a unique cancer AI product development ecosystem for drug discovery and clinical applications, democratising access to data, AI assets, technologies, and capabilities. PharosAI unites large-scale multimodal cancer datasets with AI models through a highly-secure, trusted, federated platform, offering state-of-the-art AI tooling for use by pharma/biotech/life-sciences, AI-pharma, and AI developers of clinical applications, in enterprises, growth companies, and research organisations. PharosAI will also provide a “lend me an expert” concierge service, training and education in AI for clinicians, and an end-to-end product development and deployment service, helping cancer pathology services to be more easily deployed within the NHS. This will be facilitated by a best-in-class patient involvement and governance model, and fair value sharing for data providers.
PharosAI will revolutionise AI-powered cancer care, driving breakthrough therapies, clinical applications, addressing cancer’s social determinants, lowering barriers to UK SMEs, catalysing innovation and positioning the UK as a global leader in this dynamic ecosystem.
PharosAI is a joint venture between two leading research-intensive universities, King’s College London and Queen Mary University of London; and two innovative NHS Trusts, Guy’s and St Thomas’ NHS Foundation Trust and Barts Health Trust. PharosAI has been awarded £18.9M in funding from the Department for Science, Innovation, and Technology, and cash and in-kind contributions bringing the total funding to £44M.
We are seeking a highly motivated and experienced Research Fellow in Computational Biostatistics with excellent technical skill and extensive experience analysing complex data sets in a translational research environment. You will apply your biostatistics skills to technology-driven research questions across the broad range of multimodal data with a focus on spatial transcriptomics, single cell and large-scale omics and support for imaging, including medical imaging and digital pathology, data using cutting-edge AI and machine learning approaches. The ideal candidate will play a critical role in integrating diverse data sources to uncover mechanistic insights and inform precision medicine strategies.
You will play a critical role in providing PharosAI with access to statistical expertise. You will work closely with the bioinformatics and clinical data teams to design experiments, explore and analyse complex data sets, formulate analysis strategies, implement statistical approaches, interpret and explain analysis results. You will build bespoke statistical analysis pipelines using the latest methods to help deliver results. Moreover, you bear responsibilities for developing the general level of statistical thinking across PharosAI activities.
This is a full-time and you will be offered a fixed term contract until 31 March 2027.
To be successful in this role, we are looking for candidates to have the following skills and experience:
Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now.” This document will provide information of what criteria will be assessed at each stage of the recruitment process.
We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.
To find out how our managers will review your application, please take a look at our ‘How we Recruit ’ pages.
Grade and Salary : £53,149 - £62,422 per annum inclusive of London Weighting Allowance Job ID : 116206
Post Date : 29-May-2025 Close Date : 12-Jun-2025
Contact Person : Anita Grigoriadis Contact Details : Anita.grigoriadis@kcl.ac.uk
Click on the link(s) below to view documents