招聘簡(jiǎn)介：

　　博士后研究員、計(jì)算和統(tǒng)計(jì)癌癥基因組學(xué)

　　職位描述：

　　國(guó)家癌癥研究所病理學(xué)實(shí)驗(yàn)室正在尋找博士后研究員從事癌癥基因組學(xué)和表觀基因組學(xué)項(xiàng)目。我們研究的癌癥類型主要集中在原發(fā)性人腦膠質(zhì)瘤（關(guān)于我們發(fā)表的研究，請(qǐng)參見https://www.ncbi.nlm.nih.gov/pubmed/？術(shù)語(yǔ)=Aldape+K）。實(shí)驗(yàn)室的首要目標(biāo)是利用計(jì)算技能從大規(guī)模多組學(xué)數(shù)據(jù)中解釋生物模式，最終目標(biāo)是根據(jù)生物數(shù)據(jù)診斷和分類人類癌癥。

　　成功的申請(qǐng)人將參與開發(fā)新的統(tǒng)計(jì)和遺傳方法、理論和計(jì)算工具以及機(jī)器學(xué)習(xí)策略，以分析和整合基因組和表觀基因組數(shù)據(jù)與人類癌癥病理評(píng)估。獲取廣泛的核心設(shè)施，包括生物信息學(xué)、微陣列、細(xì)胞基因組學(xué)、測(cè)序和病理圖像存儲(chǔ)的核心，為機(jī)器學(xué)習(xí)和深度學(xué)習(xí)計(jì)算方法的發(fā)展提供了令人興奮的機(jī)會(huì)。職業(yè)發(fā)展機(jī)會(huì)廣泛，旨在提供機(jī)會(huì)與一系列學(xué)科和生物醫(yī)學(xué)科學(xué)領(lǐng)域的頂尖專家互動(dòng)，并將候選人培養(yǎng)成全面、獨(dú)立的研究人員，為未來(lái)的發(fā)展做好準(zhǔn)備。

　　NIH擁有豐富的研究環(huán)境，擁有無(wú)數(shù)的合作機(jī)會(huì)和生物醫(yī)學(xué)研究的前沿技術(shù)資源。病理學(xué)實(shí)驗(yàn)室（LP）在Eytan Ruppin（https://www.ncbi.nlm.nih.gov/pubmed/）領(lǐng)導(dǎo)的組織內(nèi)項(xiàng)目中積極與癌癥數(shù)據(jù)科學(xué)實(shí)驗(yàn)室（CDSL）互動(dòng)。術(shù)語(yǔ)=ruppin+e）。他在CSDLS的團(tuán)隊(duì)專門研究各種計(jì)算方法，分析和整合癌癥多組學(xué)數(shù)據(jù)，以更好地了解癌癥生物學(xué)、分類和患者的新治療選擇。利用LP和CDSL獨(dú)有的資源，將為計(jì)算生物學(xué)家提供最先進(jìn)的職業(yè)發(fā)展機(jī)會(huì)。癌癥分子分類專家（LP主管Kenneth Aldape博士）和癌癥多組學(xué)數(shù)據(jù)整合專家（CDSL主管Eytan Ruppin博士）都致力于共同指導(dǎo)和推進(jìn)未來(lái)的獨(dú)立研究者。

　　美國(guó)國(guó)立衛(wèi)生研究院（NCI）壁內(nèi)項(xiàng)目病理學(xué)實(shí)驗(yàn)室位于美國(guó)馬里蘭州貝塞斯達(dá)，其使命是在臨床診斷、癌癥研究和教育方面達(dá)到最高水平。培訓(xùn)項(xiàng)目通過(guò)NCI培訓(xùn)辦公室和NIH校內(nèi)培訓(xùn)和教育辦公室提供。國(guó)家衛(wèi)生研究院致力于在其培訓(xùn)和就業(yè)項(xiàng)目中建立一個(gè)多元化的社區(qū)。

　　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 CSDLspecializes 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

　　Salary will be commensurate with research experience in the NIH system.

　　Disclaimers: This position is at the National Cancer Institute, and is therefore subject to a background investigation. The NIH is dedicated to building a diverse community in its training and employment programs.

　　AboutNIH

　　The National Institutes of Health is made up of 27 different components called Institutes and Centers. Each has its own specific research agenda, often focusing on particular diseases or body systems. All but three of these components receive their funding directly from Congress and administrate their own budgets. NIH leadership plays an active role in shaping the agency’s research planning, activities, and outlook. The Office of the Director is the central office, responsible for setting policy for NIH and for planning, managing, and coordinating the programs and activities of all the NIH components.

為防止簡(jiǎn)歷投遞丟失請(qǐng)抄送一份至：boshijob@126.com（郵件標(biāo)題格式：應(yīng)聘職位名稱+姓名+學(xué)歷+專業(yè)+中國(guó)博士人才網(wǎng)）