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，其病理生物学由可遗传基因、环境暴露、 体细胞基因组和表观基因组的改变以及对免疫学和其他反应的贡献 承载着微观和宏观环境。癌症治疗学覆盖了关于特定的另一个维度 不利于精准医学概念的脆弱性。目前，整合基因组规模的数据来自 在临床背景下对活体肿瘤的病理生物学进行的基于实验室的机械性“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率的 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(I)提供 为寻求双向整合的一系列项目调查人员提供生物统计学和生物信息学技能 用于开发和测试涉及癌症基因组学的假设；(Ii)开发新的方法 (建模和计算工具)用于分析和整合基因组规模的数据；和(3)应用严谨 以及用于向研究提交/共享计划基因组学数据的数据注释的可重复性 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.