Genomics Research Experience for Master's Students (GEMS) Fellowship

摘要 在过去的十年中，多模式癌症组学数据呈指数级增长，原因是 高通量尖端技术，可捕获DNA、RNA、蛋白质和代谢物水平数据。有一个 迫切需要培训基因组学方面的下一代数据科学家，他们的任务是将 这些高维数据的复杂集成，以使用复杂的统计学提供精确的肿瘤学 以及计算方法和工具。由于来自工业的诱惑越来越大，存在着严重的 学术界的“人才外流”现象在数据科学和高维领域尤为普遍 计算技能。这项提案旨在发展纪念斯隆·凯特琳癌症中心的基因组学 研究生研究经验(GEMS)奖学金计划，一个结构化和专业化的计划 面向生物统计学、统计学、数据科学、计算机科学或相关专业的硕士级别学员 数量学科(5年内每年夏季6个)。GEMS项目是一个实践性的、为期12周的身临其境的项目 在癌症基因组学方面的跨学科夏季研究经验，其中几个组成部分使 独一无二的计划：访问世界领先的癌症基因组数据和工具资源，定量和 科学的双重指导模式，与同行顾问配对，以及关于尖端技术的讲座/迷你研讨会系列 基因组技术和高维数据分析由项目教员提供，他们是世界专家。这个 研究员将获得下一代全基因组和全转录组测序的经验 并真正了解高维数据分析、高级统计基因组学概念 以及建模技术、并行计算和可重复的研究范式。这种大型的组合 来自计划的数据资源、计算基础设施、教学讲座和实践研讨会系列 学院创造了一个独特的环境，在这个环境中将追求以下目标：1)开发基因组学 研究实习计划，每年招募6名学生，为他们提供为期12周的身临其境的实践 解决前沿癌症基因组学研究问题的研究培训经验；2)开发和 促进双向评估计划，为参与者及其 导师；以及3)随着时间的推移跟踪参与者的职业发展，以评估计划的成功并 支持项目校友在基因组学领域追求量化职业。GEM将在纪念馆由2名PD共同领导 斯隆·凯特琳癌症中心，长期从事有影响力的研究、指导和成功的记录 知识翻译。双团队辅导方法将使学生为跨学科的 翻译科学工作者，并将学习成为批判性思考者。GEM将为学员做好准备，迎接有影响力的培训 从事组学数据科学家的工作，并将接受基因组学癌症医学方面的劳动力培训。

ABSTRACT The last decade has seen an exponential increase in multimodal cancer -omics data due to the development of high throughput cutting-edge technologies that capture DNA, RNA, protein and metabolite level data. There is a critical need for training the next generation of data scientists in genomics who can be tasked to translate the complex integration of these high dimensional data to deliver precision oncology using sophisticated statistical and computational methods and tools. Due to growing enticements from industry, there is significant threat of “brain drain” from academia that is especially prevalent among those with data science and high dimensional computational skills. This proposal seeks to develop the Memorial Sloan Kettering Cancer Center’s Genomics Research Experience for Master’s Students (GEMS) Fellowship Program, a structured and specialized program that targets master’s level trainees in biostatistics, statistics, data science, computer science or related quantitative discipline (6 per summer over 5 years). The GEMS program is a hands-on, 12-week immersive and interdisciplinary summer research experience in cancer genomics with several components that make the program unique: access to the world's leading resources of cancer genomics data and tools, a quantitative and scientific dual-mentoring model, pairing with a peer advisor, and a lecture/mini workshop series on cutting-edge genomic technologies and high dimensional data analysis given by program faculty who are world experts. The fellows will gain experience working with whole-genome and whole-transcriptome next-generation sequencing data and obtain a real understanding of high-dimensional data analysis, advanced statistical genomics concepts and modeling techniques, parallel computing and reproducible research paradigms. This combination of large data resources, computational infrastructure, didactic lecture and hands-on workshop series from program faculty creates a unique environment in which the following aims will be pursued: 1) develop a genomics research internship program that annually recruits 6 students to provide them a 12-week immersive hands-on research training experience addressing cutting edge cancer genomics research questions; 2) develop and facilitate a bi-directional evaluation plan to provide timely assessment and feedback for the participants and their mentors; and 3) track participants' career development over time to evaluate the success of the program and to support program alumni to pursue quantitative careers in genomics. GEMS will be co-led by 2 PDs at Memorial Sloan Kettering Cancer Center with long track records of impactful research, mentorship, and successful knowledge translation. The dual team mentoring approach will prepare students for the inter-disciplinary translational science workforce and will learn to become critical thinkers. GEMS will prepare trainees for impactful careers as -omics data scientists and will obtain work-force training in genomics cancer medicine.