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

摘要 在过去的十年中，由于多模式癌症组学数据的发展， 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 迫切需要在基因组学方面培训下一代数据科学家，他们可以负责翻译 这些高维数据的复杂整合，以使用复杂的统计学 以及计算方法和工具。由于工业的诱惑越来越大， 学术界的“人才流失”在数据科学和高维数据领域尤为普遍。 计算能力该提案旨在开发纪念斯隆凯特琳癌症中心的基因组学 硕士生研究经验（GEMS）奖学金计划，一个结构化和专业化的计划 针对生物统计学，统计学，数据科学，计算机科学或相关领域的硕士水平学员 数量学科（5年内每年夏季6个）。GEMS计划是一个动手，12周的沉浸式， 在癌症基因组学的跨学科夏季研究经验与几个组成部分，使 程序独特：获得癌症基因组学数据和工具，定量和世界领先的资源， 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/小型研讨会系列 基因组技术和高维数据分析由世界专家的程序教师。的 研究员将获得全基因组和全转录组下一代测序的工作经验 数据，并获得真实的理解高维数据分析，先进的统计基因组学概念 和建模技术，并行计算和可重复的研究范式。这种大型组合 数据资源，计算基础设施，教学讲座和实践研讨会系列，从程序 教师创造了一个独特的环境，在其中将追求以下目标：1）发展基因组学 研究实习计划，每年招募6名学生，为他们提供为期12周的沉浸式实践 研究培训经验，解决尖端癌症基因组学研究问题; 2）开发和 促进双向评估计划，为参与者及其 导师; 3）跟踪参与者的职业发展，以评估该计划的成功， 支持计划校友追求基因组学定量事业。GEMS将由Memorial的2名PD共同领导 斯隆凯特琳癌症中心拥有长期的有影响力的研究，指导和成功的记录 知识翻译双团队指导方法将为学生准备跨学科 翻译科学的劳动力，并将学习成为批判性思想家。GEMS将为学员提供有影响力的 职业为基因组学数据科学家，并将获得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.