欧洲分子生物学实验室-欧洲生物信息学研究所计算生物学、统计学、物理学或相关领域博士后招聘

　　招聘简介：

　　关于团队/工作

　　欧洲分子生物学实验室-欧洲生物信息学研究所（EMBL-EBI）正在寻找一名博士后研究员加入格斯登研究小组，该小组在计算癌症生物学领域工作。

　　癌症是一种由我们细胞基因组中的突变终身积累所驱动的疾病。癌症数据科学组开发并将统计方法应用于大型癌症数据集，以深入了解癌症的起源，并实施预测癌症进展和结果的模型。为了实现这一目标，研究小组使用了数千到数百万癌症患者的基因组、转录组和成像数据集。

　　根据这些数据，老年人研究小组在检测癌细胞的最初变化和预测癌症发生率方面做出了一些贡献。我们还开发了基因组分类方案，该方案表明，同一种癌症通常可以细分为多个不同的遗传群体，并实施了组织预后方案，根据每个患者的个体遗传组成，得出详细的风险评估。

　　英文原文：

　　About the team/job

　　The European Molecular Biology Laboratory – European Bioinformatics Institute (EMBL-EBI) is seeking a Postdoctoral Fellow to join the Gerstung research group, which works in the area of computational cancer biology.

　　Cancer is a disease driven by the life-long accumulation of mutations in our cell’s genomes. The cancer data science group develops and applies statistical methods to large cancer data sets to gain insight into the origins of cancer and to implement models to predict cancer progression and outcomes. To achieve this, the group works with genomic, transcriptomic and imaging data sets from thousands to millions of cancer patients.

　　The Gerstung group has made several contributions to detect the first changes in cancer cells and predict the rates of developing cancer, based on these data. We have also developed genomic classification schemes that showed that the same cancers can often be subdivided into multiple genetically distinct groups and implemented rganization prognostic schemes that yield a detailed risk assessment based on each patient’s individual genetic makeup.

　　Your role

　　As a Postdoctoral Fellow in the group you will contribute to our research portfolio, ranging from cancer evolution over imaging to large scale epidemiological data analysis projects. You will drive your own research project and collaborate closely with other members of the group as well as local and international collaboration partners.

　　You have

　　a doctoral degree or equivalent qualification in computational biology, statistics, physics or related field;

　　previous experience with advanced statistical and machine learning tools such as R, Python, or Matlab and have an interest to apply these skills to improve our understanding of cancer;

　　a strong publication record;

　　the ability to drive and contribute to research projects and independently develop new research ideas;

　　previous experience in coding and mastering large data volumes;

　　excellent communication skills to clearly present your research ideas to experts as well as lay audiences.

　　You might also have

　　experience with rganizat genomic and other high-dimensional biomedical data sets

　　a background in molecular biology, or previous experience tackling biological questions;

　　used and developed tools for interactive reporting, such as Shiny.

　　Why join us

　　EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research rganization. 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 do I 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.

　　Informal enquiries can be directed to Dr Moritz Gerstung.

　　The initial contract is for a period of twelve months with the possibility of a fixed-term extension.

　　Applications will close at 23:00 British time on the date listed above.