招聘簡(jiǎn)介：

　　關(guān)于團(tuán)隊(duì)/工作

　　Petsalaki小組研究人類細(xì)胞信號(hào)傳遞，旨在了解在不同環(huán)境、組織和條件下控制不同細(xì)胞反應(yīng)的因素。我們分析和整合不同的“組學(xué)”數(shù)據(jù)集（重點(diǎn)是磷蛋白組學(xué)和蛋白質(zhì)組學(xué)），以提取和比較上下文特定的信號(hào)網(wǎng)絡(luò)。更多信息，請(qǐng)?jiān)L問(wèn)：Petsalaki

　　Zaugg小組調(diào)查了個(gè)體間分子表型的變化及其遺傳和表觀遺傳變異，目的是更好地了解復(fù)雜遺傳疾病的分子基礎(chǔ)和個(gè)體間藥物反應(yīng)的差異。我們?cè)谟?jì)算調(diào)控基因組學(xué)、轉(zhuǎn)錄組學(xué)和數(shù)據(jù)整合方面擁有強(qiáng)大的專業(yè)知識(shí)。更多信息請(qǐng)?jiān)L問(wèn)：Zaugg

　　你的工作

　　旨在抑制多個(gè)靶點(diǎn)或癌癥途徑的聯(lián)合療法可以抵抗抵抗，并在特定的遺傳環(huán)境中利用新的可操作的依賴性。該候選人將作為合作團(tuán)隊(duì)的一部分，通過(guò)雄心勃勃的綜合網(wǎng)絡(luò)生物學(xué)和大規(guī)模功能基因組學(xué)篩選，挖掘腫瘤學(xué)中合理靶點(diǎn)/路徑組合的潛力。

　　您將處理非常大和多樣的組學(xué)數(shù)據(jù)集，從基因組學(xué)到磷蛋白組學(xué)，以及CRIPSR擾動(dòng)數(shù)據(jù)。您將整合這些數(shù)據(jù)，并使用先進(jìn)的統(tǒng)計(jì)方法和網(wǎng)絡(luò)建模對(duì)其進(jìn)行分析，以根據(jù)擾動(dòng)識(shí)別單元網(wǎng)絡(luò)重新布線，并預(yù)測(cè)組合目標(biāo)。你應(yīng)該獨(dú)立工作，并且是項(xiàng)目的主要推動(dòng)者。您將受雇于EMBL-EBI作為Petsalaki集團(tuán)的一部分，并與Embl Heidelberg的Zaugg集團(tuán)有一個(gè)聯(lián)合約會(huì)。此外，您將與協(xié)作項(xiàng)目的成員緊密合作，該項(xiàng)目還包括由桑格研究所的Mathew Garnett領(lǐng)導(dǎo)的團(tuán)隊(duì)。

　　該項(xiàng)目由開放目標(biāo)公司資助，這是一個(gè)公私合作伙伴關(guān)系，利用人類遺傳學(xué)和基因組學(xué)數(shù)據(jù)進(jìn)行系統(tǒng)的藥物目標(biāo)識(shí)別和優(yōu)先排序。該項(xiàng)目將由桑格研究所、歐洲生物信息學(xué)研究所（EMBL-EBI）、歐洲分子生物學(xué)實(shí)驗(yàn)室（EMBL）和多家制藥公司的科學(xué)團(tuán)隊(duì)合作開發(fā)新的癌癥聯(lián)合療法。

　　英文原文：

　　About the team/job

　　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.

　　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 (petsalaki@ebi.ac.uk) or Dr Judith Zaugg (judith.zaugg@embl.de).、

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