招聘简介：

关于团队/工作

Petsalaki小组研究人类细胞信号传递，旨在了解在不同环境、组织和条件下控制不同细胞反应的因素。我们分析和整合不同的“组学”数据集（重点是磷蛋白组学和蛋白质组学），以提取和比较上下文特定的信号网络。更多信息，请访问：Petsalaki

Zaugg小组调查了个体间分子表型的变化及其遗传和表观遗传变异，目的是更好地了解复杂遗传疾病的分子基础和个体间药物反应的差异。我们在计算调控基因组学、转录组学和数据整合方面拥有强大的专业知识。更多信息请访问：Zaugg

你的工作

旨在抑制多个靶点或癌症途径的联合疗法可以抵抗抵抗，并在特定的遗传环境中利用新的可操作的依赖性。该候选人将作为合作团队的一部分，通过雄心勃勃的综合网络生物学和大规模功能基因组学筛选，挖掘肿瘤学中合理靶点/路径组合的潜力。

您将处理非常大和多样的组学数据集，从基因组学到磷蛋白组学，以及CRIPSR扰动数据。您将整合这些数据，并使用先进的统计方法和网络建模对其进行分析，以根据扰动识别单元网络重新布线，并预测组合目标。你应该独立工作，并且是项目的主要推动者。您将受雇于EMBL-EBI作为Petsalaki集团的一部分，并与Embl Heidelberg的Zaugg集团有一个联合约会。此外，您将与协作项目的成员紧密合作，该项目还包括由桑格研究所的Mathew Garnett领导的团队。

该项目由开放目标公司资助，这是一个公私合作伙伴关系，利用人类遗传学和基因组学数据进行系统的药物目标识别和优先排序。该项目将由桑格研究所、欧洲生物信息学研究所（EMBL-EBI）、欧洲分子生物学实验室（EMBL）和多家制药公司的科学团队合作开发新的癌症联合疗法。

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).、