Research Specialist in Cancer Genomics to Integrate Basic Research and Clinical Data

摘要 人类癌症是一种复杂的疾病，其病理生物学由遗传遗传学、环境暴露、 体细胞基因组和表观基因组的改变，以及对免疫和其他反应的贡献， 微观和宏观环境。癌症治疗覆盖了另一个维度， 精确医疗概念背后的脆弱性。目前，整合基因组规模的数据， 临床背景下体内肿瘤病理生物学的基于实验室的机制“因果”研究 护理仍然具有挑战性。这项建议旨在为高技能和高生产力的 拥有实验室、生物信息学和临床医学专业知识的科学家。目标是：（一）提供 生物统计学和生物信息学技能的范围内寻求双向整合的计划调查 发展和检验涉及癌症基因组学的假设;（ii）发展新的方法 （建模和计算工具），用于分析和整合基因组规模的数据;（iii）应用严格的 和数据注释的可重复性，以便向研究提交/共享程序基因组学数据 社区

ABSTRACT Human cancers are complex diseases with pathobiology driven by heritable genetics, environmental exposures, somatic genomic and epigenomic alterations, and contributions for immunological and other responses in the host micro- and macroenvironment. Cancer therapeutics overlay another dimension with respect to particular vulnerabilities that underly concepts of precision medicine. Currently, integrating genome-scale data from mechanistic ‘cause-effect’ laboratory-based studies to the pathobiology of in vivo tumors in the context of clinical care remains challenging. This proposal is designed to provide support for a highly skilled and productive scientist with expertise across laboratory, bioinformatics, and clinical medicine. The objectives are (i) to provide biostatistical and bioinformatics skills for a range of program investigators that seek to bi-directional integration for the development and testing of hypotheses involving cancer genomics; (ii) to develop new approaches (modeling and computational tools) for the analyses and integration of genome-scale data; and (iii) apply rigor and reproducibility in data annotation for submission/sharing of program genomics data to the research community.