Training in Biomedical Informatics at Columbia University

项目摘要 哥伦比亚大学的生物医学信息学培训计划旨在促进生物医学学科的发展 信息学通过提供广泛而严格的正式课程曝光与密集的研究培训配对， 一个以健康为中心的强大环境。我们的项目是由哥伦比亚的生物医学系 信息学，它提供了一个非常丰富的环境，因为它是密切相关的纽约长老会 医院，哥伦比亚数据科学研究所，以及整个大学的部门和学校。我们 有一个大的，国际公认的教师与国家生物医学信息学的一贯参与 项目此外，我们的临床信息系统服务职责为学员提供机会， 直接接触最先进的临床和研究信息系统并接受相关培训。资助 NLM自1992年以来，我们的计划已经产生了许多信息学领导者，包括主席，董事，高级 研究教师和ACMI研究员，它已经毕业了91名博士前博士生（49名NLM学员）， 75名NLM博士后。我们的研究生课程今年收到了100多份申请。 我们的课程包括生物医学信息学核心，数据科学的附加课程，人工智能， 智能，机器学习，定性方法，信息技术方法， 应用领域，整个培训期间丰富的研究经验，教学经验，以及 关于道德操守的专门指导。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 提出一个新的专业化，致力于信息学和数据科学的艾滋病毒研究。我们覆盖三个 教育终点-博士前博士（一般为3-5年），博士后MA和博士（一般为 2-3年），和博士后非学位的那些与以前的信息学博士培训的学员 （一般为2-3年）-以及短期职位。我们要求12个博士学位前的插槽（包括2个为 新的信息学和数据科学艾滋病毒专业），5个博士后名额，4个短期实习生 职位（2个博士前和2个博士后）。

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).