Research Technical Professionals and Scientific Support

The Institute of Cancer Research (ICR) and The Royal Marsden Hospital (RMH) invite applications for a Group Leader in Cancer Health Data Sciences. This is an exceptional opportunity for an outstanding researcher to establish an independent, internationally recognised research programme at the interface of cancer research, data science and artificial intelligence. The successful candidate will develop innovative approaches to analyse and integrate large-scale, multimodal health data to advance cancer prevention, early detection, diagnosis, treatment stratification and therapeutic response. They will have access to an unrivalled clinical and research environment through the ICR–RMH partnership, including electronic health records, imaging, genomics and molecular profiling data generated through routine clinical care, clinical trials and epidemiological studies, as well as local and national health datasets. The appointment is intended to strengthen and complement existing expertise across clinical research, epidemiology, computational biology, imaging and genomics. We are seeking an ambitious and collaborative researcher with strong quantitative and computational skills, extensive experience in the analysis of complex health data, and a track record of delivering innovative research with translational impact. The post will be based within the Division of Cancer Genetics and Epidemiology at the ICR and will include an honorary appointment at The Royal Marsden NHS Foundation Trust. In addition to leading an independent research programme, the successful candidate will contribute to the strategic development of cancer health data science across both institutions. This will include opportunities to engage with initiatives supported through the NIHR Biomedical Research Centre (BRC), alongside other institutional, charitable and externally funded programmes. The appointee will be expected to develop a strong externally funded research portfolio aligned with their scientific vision and to build productive collaborations across the ICR, RMH and the wider national and international cancer research community. The successful candidate must have: PhD (or equivalent) in relevant quantitative discipline (including, but not limited to, data science, epidemiology, biostatistics, health informatics, computer Strong foundation in quantitative methods and applied analytics. Strong understanding of data governance, privacy, and ethical considerations in health data science and AI. Strong programming and analytical skills (e.g., Python, R, SQL, JavaScript) and familiarity with modern data-science workflows. As part of your online application you will be required to upload your full CV which will pre-populate your application form, you will also be asked to attach the following documents and failure to do so will mean your application cannot be considered on this occasion: Lists of major publications, achievements, research grants, distinctions. Research plan (five to six pages outlining your current research interests and research programme for the next 5 years) A PDF of a maximum of five key publications, or other research outputs (e.g. patents) that best demonstrate previous productivity You must also complete the personal statement section of the application form in the format of a covering letter including the names and contact details of three academic referees Department/Directorate Information: Please find out more about our Genetics and Epidemiology division here. We encourage all applicants to access the job pack attached for more detailed information regarding this role. For an informal discussion regarding the role, please contact Professor Richard Houlston [email protected] or Professor Montse Garcia-Closas via [email protected].

Under the guidance of Professor Axel Behrens, we are seeking to recruit a Postdoctoral Training Fellow. We are looking for a highly motivated and creative molecular biologist with a strong background in breast cancer biology. The goal of the project is to use advanced genetic cancer mouse models and patient-derived human cancer organoids, to apply their cancer biology skills to elucidate mechanisms of breast cancer stem cell biology and metastasis formation, with the ultimate aim to develop novel therapeutics. About you The successful candidate must have: Considerable experience in cancer biology Considerable experience in working with human patient-derived cancer organoids Considerable experience in working with in vivo breast cancer models Considerable experience in CRISPR modification of human patient-derived cancer organoids Candidates who are nearing completion of their PhD may apply, but confirmation on awarded PhD is required within 6 months of employment. The ICR has a workforce agreement stating that Postdoctoral Training Fellows can only be employed for up to 7 years as PDTF at the ICR, providing total postdoctoral experience (including previous employment at this level elsewhere) does not exceed 7 years. For general information on Postdocs at The ICR, more information can be found here. Department/Directorate Information This post will sit within the Cancer Stem Cell team, part of the Breast Cancer Research Division - further information can be found here. What we offer A dynamic and supportive research environment Access to state-of-the-art facilities and professional development opportunities Collaboration with leading researchers in the field Competitive salary and pension We encourage all applicants to access the job pack attached for more detailed information regarding this role. For an informal discussion regarding the role, please contact Ian Evans at [email protected]