美国华盛顿大学医学院神经遗传学方向博士后职位招聘

　　招聘简介：

　　华盛顿大学医学院神经遗传学和信息学组的博士后/高级科学家/初级教师职位

　　华盛顿大学医学院的神经遗传学和信息学（ngi）小组（https://neurogomics.wustl.edu/）正在招募多名博士后研究科学家。NGI生成并分析高通量多维OMIC数据，以研究神经变性和中枢神经系统疾病，重点是阿尔茨海默病、帕金森病和其他痴呆症。NGI的最终目标是了解这些疾病的生物学特性，定义新的生物标记物，并确定新的治疗靶点。华盛顿大学医学院以其神经退行性疾病的研究队列而闻名，包括临床、神经影像学和液体生物标志物表型。我们在使用全基因组测序、传统脑脊液（CSF）生物标记物的遗传分析和孟德尔随机化方法识别神经变性的遗传结构方面取得了先河。我们目前正在使用脑、脑脊液和血浆的深层分子分析，包括单核RNA序列和蛋白质组学分析，来表征大量特征明确的样本。

　　英文原文：

　　Postdoctoral/(Senior) Scientists/Junior Faculty positions at the NeuroGenetics and informatics group Washington University School of Medicine, WUSTL

　　The NeuroGenetics and informatics (NGI) group (https://neurogenomics.wustl.edu/) at Washington University School of Medicine is recruiting multiple Postdoctoral Research Scientist. The NGI generates and analyzes high-throughput multi-dimensional omic data to study neurodegeneration and diseases of the central nervous system with emphasis on Alzheimer’s disease, Parkinson’s disease, and other dementias. The ultimate goal of the NGI is to understand the biology of these diseases, to define novel biomarkers, and to identify novel therapeutical targets. Washington University School of Medicine is renowned for its research cohorts of neurodegenerative disorders, which include clinical, neuroimaging, and fluid biomarker phenotypes. We have pioneered in the employment of whole genome sequencing, genetic analyses of traditional cerebrospinal fluid (CSF) biomarkers and Mendelian Randomization approaches to identify the genetic architecture of neurodegeneration. We are currently employing deep molecular profiling of brain, CSF and plasma, including single-nuclei RNA-seq and proteomics assay, to characterize a large collection of well-characterized samples.

　　We are seeking for highly motivated researchers at all career stages. We look for post-doc, (senior) staff sceintists and junior faculty with strong analytical skills to join our effort and generate novel insights of neurodegeneration with this unique dataset, while working in a highly dynamic multidisciplinary and collaborative environment. The new scientists will join a large team, currently twenty members, which is led by three faculty members and three senior scientists.