招聘簡介：

　　博士后獎學金，計算和統(tǒng)計癌癥基因組學

　　職位描述：

　　國家癌癥研究所病理學實驗室正在尋找癌癥基因組學和表觀基因組學項目的博士后研究員。我們研究多種癌癥類型，重點是原發(fā)性人腦膠質(zhì)瘤（對于我們已發(fā)表的研究，請參閱https://www.ncbi.nlm.nih.gov/pubmed/?term=aldape+k）。該實驗室的首要目標是利用計算技能從大規(guī)模多元數(shù)據(jù)中解釋生物模式，最終目標是根據(jù)生物數(shù)據(jù)診斷和細分人類癌癥。

　　成功的申請人將參與開發(fā)新的統(tǒng)計和遺傳方法，理論和計算工具以及機器學習策略，用于分析和整合基因組和表觀基因組數(shù)據(jù)與人類癌癥的病理評估。獲得廣泛的核心設施，包括生物信息學，微陣列，細胞基因組學，測序和病理圖像存儲庫的核心，為機器學習和深度學習計算方法的發(fā)展提供了令人興奮的機會。職業(yè)發(fā)展機會廣泛，旨在提供與各種學科和生物醫(yī)學科學的領先專家互動的機會，并培養(yǎng)候選人成為全面的獨立調(diào)查員，為未來的發(fā)展做好準備。

　　英文原文：

　　Post-Doctoral Fellowship, Computational and Statistical Cancer Genomics

　　Position Description:

　　Laboratory of Pathology of National Cancer Institute is looking for postdoctoral researcher to work on cancer genomics and epigenomics project. We study variety of cancer types with focus on primary human brain gliomas (for our published work, please see https://www.ncbi.nlm.nih.gov/pubmed/?term=aldape+k). The overarching goal of the lab is to use computational skills to interpret biological patterns from large scale multi-omic data with ultimate goal to diagnose and subclassify human cancer accordingly to biological data.

　　The successful applicant will be involved in development of new statistical and genetic methods, theory and computational tools and machine learning strategies for analysis and integration of genomic and epigenomic data with pathologic evaluation of human cancer. Access to extensive core facilities including cores in bioinformatics, microarrays, cytogenomics, sequencing and pathological image depositories provides exciting opportunities for development of machine learning and deep learning computational approaches. Career development opportunities are extensive and aimed to provide the opportunity to interact with leading experts in a range of disciplines and biomedical science, and to develop candidates into well rounded, independent investigators ready for future advancement.

　　The NIH has a rich research environment with countless opportunities for collaboration and cutting-edge technology resources for biomedical research. Laboratory of Pathology (LP) actively interacts with the Cancer Data Science Laboratory (CDSL) in the intramural program, led by Eytan Ruppin (https://www.ncbi.nlm.nih.gov/pubmed/?term=ruppin+e). His group in the CSDL specializes in a variety of computational approaches, analyzing and integrating cancer multi-omics data to better understand cancer biology, classification, and new therapeutic options for patients. Access to the resources unique to the LP as well as to the CDSL, will provide state-of-the-art career development opportunities for computational biologists. Both experts in cancer molecular classification (Dr. Kenneth Aldape, Chief of LP) and cancer multi-omics data integration (Dr. Eytan Ruppin, Chief of the CDSL) are committed to co-mentor and advance independent investigators of the future.

　　The Laboratory of Pathology within the intramural program of the NCI, NIH, is located in Bethesda, Maryland, USA. Its mission is to achieve the highest level of quality in clinical diagnostics, cancer research and education. Training programs are made available through the NCI Training Office and the NIH Office of Intramural Training and Education. The NIH is dedicated to building a diverse community in its training and employment programs.

　　Qualifications:

　　The successful candidate will have a strong quantitative research background with a PhD in areas such as Statistical Genetics, Statistical Methods, Machine Learning, Deep Learning or Computer Science; practical experience working with large real-world genetic data sets, developing new methods, statistical computing, and producing high-quality published work. We expect the candidate to be motivated, creative, communicative and happy to work in a collaborative and inter-disciplinary environment.

　　To Apply:

　　Suitably qualified candidates should submit their curriculum vitae, cover letter, and the names and contact information (email and phone #) for three referees to:

　　Dr. Zied Abdullaev

　　Laboratory of Pathology

　　Center for Cancer Research

　　National Cancer Institute

　　Bethesda, MD 20892

　　United States

　　zied.abdullaev@nih.gov

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