Study and Careers

About the Role Our Prospect Research team plays a central role in unlocking new funding opportunities across the ICR's philanthropic income streams. It is responsible for delivering high quality, insightful prospect briefings and fundraising intelligence, which supports the ICR's fundraisers in their efforts to build meaningful relationships with philanthropic high net-worth individuals, trusts, foundations and corporates who have the interest and capacity to support the ICR's vital research. The post holder will play a key role in supporting the Development & Communications directorate to source, assess and validate new funding opportunities, maximise income secured across our philanthropic income streams and fundraising campaign, and grow our incredible donor community. The successful candidate will have experience of devising and successfully implementing targeted prospecting strategies. You will play a lead role in identifying philanthropic HNWIs and corporates with the capacity and inclination to support our work. The post holder will also be responsible for carrying out due diligence research and alerting fundraisers to reputational risks identified in support of the ICR's gift acceptance policy. You will work closely with the Head of Prospect Development to support fundraisers in maximising the success of our senior volunteer network through network mapping and expanding its ranks. In addition, the post holder will manage the Prospect Research Executive, providing development and mentoring support. What We Offer A supportive and collaborative working environment. Opportunities for professional development and career progression. 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 Caroline Porter via telephone on 020 7153 5486 or email at [email protected].

Under the guidance of Prof Anguraj Sadanandam, we are seeking to recruit a Bioinformatician (Senior Scientific Officer) to contribute to implementing and performing relevant analyses, interpreting the results in context of fast-moving projects, and presenting the results to project teams as well as internal and external collaborators and contribute, with the expectation of authorship on resulting publications. There will also be opportunities to engage in bench-based experimental research, although this is not mandatory. The successful candidate will play a key role in analysing RNAseq data (bulk, single-cell, spatial), developing methodologies and supporting research activities. About you The successful candidate must have: Master’s degree in Computational Biology, Bioinformatics, Computer Science, or related subject Proven experience of bioinformatics analyses and interpretation in one or more of the following key areas (NGS analysis of WES/WGS/RNAseq (bulk, single-cell) using standard practice pipelines; Clinical data analysis (Survival curves, correlation and subgroup analysis) Proven experience in the development of software pipelines to implement analysis workflow Proven experience in use of High Performance Computing platforms and unix-like operating systems Proven experience of writing and maintaining Python, R and Bash code using Git Department/Directorate Information The Division of Molecular Pathology conducts translational research linking molecular science to clinical oncology. The group of Dr Anguraj Sadanandam focuses on cancer metabolism and tumour subtypes, particularly in pancreatic ductal adenocarcinoma (PDAC) and colorectal cancer (CRC). Using integrative multi-omics approaches — including scRNAseq, spatial transcriptomics, bulk RNAseq, metabolomics (LC-MS), CNV, and WES — combined with cell culture and genetically engineered mouse models, we aim to define tumour heterogeneity and identify new therapeutic opportunities. The successful candidate will work under multidisciplinary supervision: for clinical and biological questions, guidance will be provided by Dr Christophe Cisarovsky, Clinical Oncologist in the GI clinic at The Royal Marsden Hospital and MD-PhD, together with Group Leader Prof Anguraj Sadanandam; for technical and bioinformatics questions, supervision will be provided by Prof Anguraj Sadanandam and members of his bioinformatics team. The candidate will primarily perform bioinformatic analyses and contribute to fast-moving projects with the expectation of authorship on resulting publications. There will also be opportunities to engage in bench-based experimental research, although this is not mandatory. https://www.icr.ac.uk/research-and-discoveries/find-a-researcher/test-researcher-profile-detail/dr-anguraj-sadanandam 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 Christophe Cisarovsky via Email on [email protected].

Under the guidance of Dr Syed Haider, we are seeking a highly motivated postdoctoral researcher to apply and develop computational approaches for investigating genomic and transcriptomic determinants of cancer vulnerabilities, with a focus on homologous recombination deficient cancers. About you The successful candidate must have: A PhD (strictly) in a quantitative subject with exposure to genomic/transcriptomics dataset, have programming experience, and possess relevant experience in statistics and genetics together with programming experience in R/python and in statistical modelling, AI and ML for genetics/genomics datasets. 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. Team Information The Breast Cancer Research Data Science Team is an interdisciplinary group of researchers (~15) who are experts in high-throughput data analyses, machine learning and software engineering. We work in a highly dynamic and collaborative environment focussing on the identification of molecular markers of breast cancer by interrogating genomic, epigenomic and transcriptomic datasets profiled using bulk as well as single-cell assays. These molecular datasets are generated using patient samples and patient-derived models (xenografts and organoids), and interpreted alongside clinical covariates of patients. In particular, we are interested in the application and development of models to help understand the molecular basis of treatment resistant breast cancers. Directorate Information The Breast Cancer Now Toby Robins Research Centre, within the Division of Breast Cancer Research at The Institute of Cancer Research is the first centre in the UK entirely devoted to breast cancer research. Our goal is to advance research into the causes, diagnosis and treatment of breast cancer. It is located in state-of-the-art laboratory space, with excellent care facilities and is funded through a long term renewable programme grant from Breast Cancer Now. 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 Dr Syed Haider via email on [email protected]

Under the guidance of Dr Tom Lund, we are seeking to recruit a Higher Scientific Officer to be in charge of the development of high-throughput spatial biology technologies recently acquired by the IPU, namely the Leica CellDIVE and CosMx. The successful candidate will play a key role in the running of experiments/projects on these machines, establishment and maintenance of relevant SOPs, coordination of provision of relevant reagents through centralised ordering systems, as well as analysis, quality control and quality assurance of scientific data produced via the CellDIVE and CosMx. In addition, the HSO is expected to support all aspects of histopathology related to a range of research projects in our established, advanced translational research laboratory in the field of complex (IHC/RNA-ISH/mIF) tissue hybridisation technologies using Leica Bond and Ventana Discovery automated stainers. About you The successful candidate must have: MSc in Biological Sciences, Cancer Biology, Molecular Biology, Molecular Pathology, or a similar discipline (essential) PhD in Biological Sciences/Cancer Biology, Molecular Biology, Molecular Pathology, or a similar discipline (desirable) Knowledge of cancer, spatial and molecular biology Knowledge of histopathology, immunohistochemistry and multiplex immunofluorescence staining techniques Department/Directorate Information The Integrated Pathology Unit (IPU) is a joint venture between The Institute of Cancer Research (ICR) and the Royal Marsden Hospital (RMH), running an advanced translational tissue hybridization and digital pathology operation, with strong collaborative research and engagement with industry at its core. Headed by Prof Manuel Salto-Tellez, and led by Dr Tom Lund, the IPU is a tissue-based laboratory with the mission to develop complex and highly quantitative approaches to tissue analysis (wet lab and in-silico) in the space of translational and clinical research, thus applicable in the context of clinical trials and adoption into diagnostic applications. The IPU uses state-of-the-art tissue-based profiling such as single-plex immunohistochemistry (IHC), RNA in situ hybridization (ISH) and IHC/immunofluorescence multiplexing (mIF), together with multi-scan imaging and digital pathology/artificial intelligence biomarker quantitation. Please visit our website https://www.cancerbrc.org/integrated-pathology-unit 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 Dr Thomas Lund via email on [email protected].