Training in Biomedical Informatics at Columbia University

项目总结 哥伦比亚大学的生物医学信息学培训项目旨在推进生物医学的学科 信息学通过提供广泛和严格的正规课程曝光以及密集的研究培训 一个注重健康的强有力的环境。我们的项目由哥伦比亚大学生物医学部负责 信息学，它提供了一个异常丰富的环境，因为它与纽约长老会密切相关 医院，哥伦比亚数据科学研究所，以及整个大学的院系和学校。我们 拥有一支庞大的、国际公认的教师队伍，并持续参与国家生物医学信息学 项目。此外，我们的临床信息系统服务职责为学员提供获得 对最先进的临床和研究信息系统进行第一手接触和培训。资金来源 自1992年以来，我们的项目已经培养了许多信息学带头人，包括主席、主任、高级 研究人员和ACMI研究员，它已经毕业了91名博士前博士生(49名NLM实习生)和 75名NLM博士后。我们的研究生项目今年收到了100多份申请。 我们的课程包括生物医学信息学核心，数据科学，人工智能 智能、机器学习、定性方法、信息技术方法论、课程 应用领域，培训期间广泛的研究经验，教学经验，以及 关于道德的专门指导。我们涵盖五个应用领域-医疗保健/临床信息学、翻译 生物信息学、临床研究信息学、公共卫生信息学、消费者健康信息学-以及 为艾滋病毒研究提出一个致力于信息学和数据科学的新专业。我们涵盖三个方面 教育终点--博士后博士(一般为3-5年)、博士后硕士和博士(一般为 2-3年)，以及有过信息学博士培训经历的学员的博士后非学位 (一般为2-3年)-以及短期头寸。我们要求12个博士前空位(包括2个 新的艾滋病毒专业信息学和数据科学)、5个博士后职位和4个短期实习生 职位(2名博士后和2名博士后)。

PROJECT SUMMARY Columbia University's biomedical informatics training program seeks to advance the discipline of biomedical informatics by providing a broad and rigorous formal course exposure paired with intense research training in a strong health-focused environment. Our program is run by Columbia's Department of Biomedical Informatics, and it offers an exceptionally rich environment as it is closely tied to NewYork-Presbyterian Hospital, the Columbia Data Science Institute, and departments and schools throughout the university. We have a large, internationally recognized faculty with consistent involvement in national biomedical informatics projects. In addition, our clinical information systems service responsibilities offer trainees opportunities to get first-hand exposure to, and training on, state-of-the-art clinical and research information systems. Funded by NLM since 1992, our program has produced many informatics leaders, including chairs, directors, senior research faculty, and ACMI fellows, and it has graduated 91 pre-doctoral PhD students (49 NLM trainees) and 75 NLM postdocs. Our graduate programs received over 100 applications this year. Our curriculum includes a biomedical informatics core, additional courses in data science, artificial intelligence, and machine learning, qualitative methods, information technology methodology, courses in the application domains, extensive research experience throughout the training period, teaching experience, and dedicated instruction on ethics. We cover five application areas— health care/clinical informatics, translational bioinformatics, clinical research informatics, public health informatics, consumer health informatics— and propose a new specialization dedicated to informatics and data science for HIV research. We cover three educational end-points— pre-doctoral PhD (generally for 3-5 years), post-doctoral MA and PhD (generally for 2-3 years), and post-doctoral non-degree for those trainees with previous informatics doctoral training (generally for 2-3 years)— as well as short-term positions. We request 12 pre-doctoral slots (including 2 for the new Informatics and Data Science for HIV specialization), 5 post-doctoral slots, and 4 short-term trainee positions (2 pre-doctoral and 2 post-doctoral).