Colorado Biomedical Informatics Training Program

描述（由申请人提供）：科罗拉多生物医学信息学培训计划是一个独立的，博士-授予和博士后培训计划的基础上，在医学的科罗拉多大学的学校，与10年的跟踪记录的创新和有效的培训前和博士后研究员的研究生涯。我们是第二代教学计划，由我们之前的许多生物医学信息学培训模式的经验告知。我们的计划旨在培养在计算方法和生物医学方面具有深度的毕业生，熟悉协同两者的科学和技术，以及开拓新颖的计算方法以解决重大生物医学问题所需的技能。我们意识到在合理的时间内实现广度和深度的困难，并相信我们已经确定了一种新的方法，能够在相对较短的时间内培养富有成效的跨学科科学家。该计划紧紧围绕转化已经强大的学生和最近的博士学位。成熟多产的科学家我们的计划是围绕一套四类教育目标和目的：知识，沟通技巧，专业行为和自我导向的终身学习。我们的毕业生展示了生物医学信息学的核心概念和原理的知识，并有能力应用计算来深入了解重要的生物医学问题。他们的知识包括掌握生物医学，临床和转化研究，统计学和计算机科学的基础知识，以及这些领域的整合能力。我们的毕业生为新知识的发现和传播做出了贡献。他们表现出人际交往，口头和书面技能，使他们能够与生物医学和计算领域的科学家进行富有成效的互动，以适当的格式交流他们的工作成果，并教别人生物医学信息学技能;他们有效地弥合生物医学和计算文化之间的差距。我们的毕业生表现出最高标准的职业操守和模范行为，体现在对研究道德行为的承诺，持续的专业发展和对工作更广泛影响的考虑。我们的毕业生展示了自我导向和终身学习的习惯和技能，并认识到生物医学信息学是一门快速发展的学科。我们的计划本身也在不断改进，仔细跟踪我们的努力，并迅速应对该领域和我们情况的变化。我们为我们出色的业绩记录以及我们对熟练，灵活和好奇的科学家的培训动态和适应性方法感到自豪，这些科学家能够在他们的职业生涯中轻松地吸收新的想法和技术。在下一阶段，我们建议开发临床研究信息学的培训课程，以补充我们现有的翻译信息学培训。我们的培训补助金支持六名博士前和三名博士后学员;目前，它是由一个额外的一个博士前和三个博士后槽ARRA相关的奖励补充。根据我们成功的记录，我们要求继续ARRA补充插槽，增加一个博士前和一个博士后插槽，并创建四个短期多样性相关的职位，共要求8个博士前，7个博士后和4个短期职位。

DESCRIPTION (provided by applicant): The Colorado Biomedical Informatics Training Program is an independent, Ph.D.- granting and postdoctoral training program based in the University of Colorado School of Medicine, with a 10 year track record of innovative and effective training of pre- and post-doctoral fellows for research careers. We are a second-generation teaching program, informed by the experience of the many biomedical informatics training models that have come before us. Our program is designed to produce graduates with depth in both computational methods and biomedicine, an intimate familiarity with the science and technology that synergizes the two, and the skills necessary to pioneer novel computational approaches to significant biomedical questions. We are aware of the difficulty of achieving both breadth and depth in a reasonable amount of time, and believe we have identified a novel approach that is capable of training productive interdisciplinary scientists in a relatively short period. The program is tightly focused on transforming already strong students and recent Ph.D.'s into mature and productive scientists. Our program is structured around a set of four categories of educational goals and objectives: knowledge, communication skills, professional behavior, and self- directed life-long learning. Our graduates demonstrate the knowledge of core concepts and principles of biomedical informatics, and have the ability to apply computation to gain insight into important biomedical problems. Their knowledge includes mastery of the fundamentals of biomedicine, clinical and translational research, statistics and computer science, as well as proficiency in the integration of these fields. Our graduates have contributed to the discovery and dissemination of new knowledge. They demonstrate interpersonal, oral and written skills that enable them to interact productively with scientists from both biomedical and computational domains, to communicate the results of their work in appropriate formats, and to teach others biomedical informatics skills; they effectively bridge the gap between biomedical and computational cultures. Our graduates demonstrate the highest standards of professional integrity and exemplary behavior, as reflected in a commitment to the ethical conduct of research, continuous professional development and thoughtfulness regarding the broader implications of their work. Our graduates demonstrate habits and skills for self-directed and life-long learning, and recognize that biomedical informatics is a rapidly evolving discipline. Our program itself is also undergoing continuous improvement, carefully tracking our efforts and quickly responding to changes in the field and our situation. We are justifiably proud of our outstanding track record as well as our dynamic and adaptive approach to the training of adept, flexible and curious scientists able to comfortably assimilate new ideas and technologies during the course of their professional careers. During the next period, we propose to develop a training track in Clinical Research informatics, to complement our existing training in Translational Informatics. Our training grant supports six predoctoral and three postdoctoral trainees; it is currently supplemented by an ARRA-related award of an additional one predoctoral and three postdoctoral slots. Based on our successful track record, we are requesting that the ARRA supplemental slots be continued, the addition of one predoctoral and one postdoctoral slot, and the creation of four short term diversity-related positions, for a total request of 8 predoctoral, 7 postdoctoral and 4 short term positions.