Combination therapies aimed at inhibiting multiple targets or cancer pathways can combat resistance and exploit new actionable dependencies in defined genetic contexts. The candidate will work as part of collaborative team to unlock the potential of rational target/pathway combinations in oncology through ambitious integrative network biology and large-scale functional genomics screens. You will handle very large and diverse omics datasets, ranging from genomics to phosphoproteomics, as well as CRIPSR perturbation data. You will integrate such data and analyse it using advanced statistical approaches, as well as network modelling to identify cell network rewiring upon perturbation and predict combination targets
Strong background and skills in large scale data analysis preferably using biological data. Excellent knowledge of advanced statistics. Excellent programming skills preferably in python and R. High enthusiasm for mining data for generating biological hypotheses
Postdoctoral Fellow Location: EMBL-EBI, Hinxton near Cambridge, UK Staff Category: Postdoctoral Fellow Contract Duration: 3 years Grading: Stipend (Year 1 starting at £2,752.13) Closing Date: 13 June 2019 Reference Number: EBI01412 The Petsalaki group studies human cell signalling with the aim to understand what controls different cell responses in different environments, tissues and conditions. We analyse and integrate diverse 'omics' datasets (with emphasis on phosphoproteomics and proteomics), to extract and compare context-specific signalling networks. More info at: Petsalaki The Zaugg group investigates the variation of molecular phenotypes among individuals along with their genetic and epigenetic variation with the aim of better understanding the molecular basis of complex genetic diseases and inter-individual differences in drug response. We have strong expertise in computational regulatory genomics, transcriptomics and data integration. More info at: Zaugg Your role Combination therapies aimed at inhibiting multiple targets or cancer pathways can combat resistance and exploit new actionable dependencies in defined genetic contexts. The candidate will work as part of collaborative team to unlock the potential of rational target/pathway combinations in oncology through ambitious integrative network biology and large-scale functional genomics screens. You will handle very large and diverse omics datasets, ranging from genomics to phosphoproteomics, as well as CRIPSR perturbation data. You will integrate such data and analyse it using advanced statistical approaches, as well as network modelling to identify cell network rewiring upon perturbation and predict combination targets. You are expected to work independently and will be the main driver of the project. You will be employed at EMBL-EBI as part of the Petsalaki group and have a joint appointment with the Zaugg group at EMBL Heidelberg. In addition, you will work tightly with the members of the collaborative project that also includes the team headed by Mathew Garnett at the Sanger institute. This project is funded by Open Targets which is a public-private partnership that uses human genetics and genomics data for systematic drug target identification and prioritisation. This project will involve scientific teams from the Sanger Institute, European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory (EMBL) and multiple pharmaceutical companies working collaboratively to develop new combination therapies for cancer. You have Strong background and skills in large scale data analysis preferably using biological data Excellent knowledge of advanced statistics Excellent ability to communicate in written and oral English and work in a team Excellent programming skills preferably in python and R High enthusiasm for mining data for generating biological hypotheses You might also have The skills below are not necessary but would be an asset: Experience in network modelling Background knowledge in epigenetics, gene regulatory networks and/or cell signalling Why join us At EMBL-EBI, we help scientists realise the potential of ‘big data’ in biology by enabling them to exploit complex information to make discoveries that benefit mankind. Working for EMBL-EBI gives you an opportunity to apply your skills and energy for the greater good. As part of the European Molecular Biology Laboratory (EMBL), we are a non-profit, intergovernmental organisation funded by 22 member states and two associate member states. We are located on the Wellcome Genome Campus near Cambridge in the UK, and our 600 staff are engineers, technicians, scientists and other professionals from all over the world. EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation. The remuneration package comprises a competitive salary, a comprehensive pension scheme and health insurance, educational and other family related benefits where applicable, as well as financial support for relocation and installation. For more information about pay and benefits click here We have an informal culture, international working environment and excellent professional development opportunities but one of the really amazing things about us is the concentration of technical and scientific expertise - something you probably won’t find anywhere else. If you’ve ever visited the campus you’ll have experienced first-hand our friendly, collegial and supportive atmosphere, set in the beautiful Cambridgeshire countryside. Our staff also enjoy excellent sports facilities including a gym, a free shuttle bus, an on-site nursery, cafés and restaurant and a library. What else you need to know Applications are welcome from all nationalities and this will continue after Brexit. For more information please see our website . Visa information will be discussed in more depth with applicants selected for interview. EMBL-EBI is committed to achieving gender balance and strongly encourages applications from women, who are currently under-represented at all levels. Appointment will be based on merit alone. Applications will close at 23:00 GMT on the date listed above. Informal enquiries can be directed to Dr Evangelia Petsalaki (firstname.lastname@example.org) or Dr Judith Zaugg (email@example.com).
Please click here, if the Job didn't load correctly.
Please wait. You are being redirected to the Job in 3 seconds.