Biomedical Informatics and Data Science Research Training Program (BIRT)

哈佛生物医学信息学和数据科学研究培训（BIRT）计划的提案 认识到生物医学信息学领域是一个日益相关的，如果不是必不可少的，医学领域 和健康科学的研究。临床护理和生物医学调查的实践各自构成 复杂的企业依赖于对大量数据流的掌握。有一个至关重要的需要， 受过培训的人员，能够整合，解释和作用于大规模，高通量， 在生物医学研究和医学实践过程中产生的复杂数据。的 这项建议的主要目的是为训练有素的独立和成功的干部作出贡献。 生物医学信息学领域的研究人员。 这项建议建立在我们多年的国家医学图书馆（NLM）奖学金的优势之上 训练目前拟议的计划将由生物医学系监督和管理 信息学在哈佛医学院（HMS），并将涉及与教师在HMS及其 附属医院，包括贝丝以色列女执事医疗中心，波士顿儿童医院，布里格姆和 妇女医院，达纳法伯癌症研究所，和马萨诸塞州总医院。此外该 该计划将与其他哈佛大学学院在全校范围内的数据科学计划密切合作， 特别是其数据科学教育工作组，拟议的PI是其中的一员。我们 满足当前NLM RFA的所有要求，该要求侧重于直接相关的信息学领域 与健康相关的应用领域。我们研究实验室的广度和深度， 系统，研究活动，学术课程和经验丰富的教师提供了一个优秀的环境 指导和指导学员在所有四个NLM确定的重点领域-医疗保健信息学， 翻译生物信息学、临床研究信息学和公共卫生信息学。 我们要求每年为总共15名学员提供支持：10名博士后，5名 博士前水平。此外，我们建议每年夏季训练四名短期学员。BIRT学员工作 与国际公认的教师在高调的赠款和研究项目。该计划有一个正式的， 所需的学术组成部分，其中包括所有博士后学员的硕士学位，以及博士学位 所有博士生的学位。学员在整个培训期间的整体进步与 监测。通过课程学习和研究进展定期对学员进行评估 项目

This proposal for the Harvard Biomedical Informatics and Data Science Research Training (BIRT) program recognizes that the field of biomedical informatics is an increasingly relevant, if not essential, field for medicine and research in the health sciences. The practice of clinical care and biomedical investigation each constitute complex enterprises that are dependent on the mastery of enormous data streams. There is a crucial need for trained individuals who are able to integrate, interpret, and act upon the large-scale, high-throughput, and complex data that are generated in the course of biomedical research and the practice of medicine. The primary aim of this proposal is to contribute to the cadre of highly trained independent and successful researchers in the field of biomedical informatics. This proposal builds on the strengths of our many years of National Library of Medicine (NLM) fellowship training. The current proposed program will be overseen and administered by the Department of Biomedical Informatics at Harvard Medical School (HMS) and will involve collaboration with faculty at HMS and its affiliated hospitals, including Beth Israel Deaconess Medical Center, Boston Children's Hospital, Brigham and Women's Hospital, Dana Farber Cancer Institute, and Massachusetts General Hospital. In addition, the program will work closely with other Harvard University Schools in the university-wide data science initiative, and, in particular, with its Data Science Education Working Group, of which the proposed PI is a member. We meet all requirements of the current NLM RFA, which focuses on those informatics areas that directly pertain to health-related application domains. The breadth and depth of our research laboratories, real-world clinical systems, research activities, academic programs, and experienced faculty provide an outstanding environment to mentor and instruct trainees in all four of the NLM-identified focus areas – healthcare informatics, translational bioinformatics, clinical research informatics, and public health informatics. We request support for a total of fifteen trainees per year: ten at the postdoctoral level and five at the predoctoral level. In addition, we propose to train four short-term trainees each summer. BIRT trainees work with internationally recognized faculty on high-profile grants and research projects. The program has a formal, required academic component, which includes the Master's degree for all postdoctoral trainees, and the PhD degree for all predoctoral students. Trainees' overall progression throughout the training period is closely monitored. Trainees are regularly evaluated through their course work and through progress on their research projects.