生物统计学哲学博士

作为哈佛大学陈赞公共卫生学院生物统计学博士学位的候选人，您将与生物统计学和生物信息学的理论和实践相结合，在统计学理论及其在健康研究中的领导者一起工作，从而发展深厚的专业知识。您将学习使用大数据，并使用强大的统计工具来驱动复杂数据集的发现。您还将与来自全球的实验室，临床和生物医学科学家合作进行原创性研究，以发现和解决威胁世界各地人们生命和健康的问题。拥有哈佛大学商学院的生物统计学博士学位，您将为在学术界发挥高影响力的职业做好准备，或者为政府，医疗保健，制药或生物医学行业的研究或领导职位做好准备。您还将通过定
With its rich history of innovation, the PhD program in the Department of Biostatistics based at the Harvard T. H. Chan School of Public Health provides an exceptional opportunity for students to join faculty in carrying on our tradition of addressing the greatest challenges in public health, biomedical research, and computational biology. The program is designed for those who have demonstrated both interest and ability in scholarly research, preparing students for careers in the theory and practice of biostatistics and bioinformatics while training them in the development of methodology, consulting, teaching, and collaboration on a broad spectrum of problems related to human health, genomics, and basic biology. Students receive training in: Applying innovative probabilistic and statistical theory and computing methods to the development of new biostatistical or bioinformatics methodology, publishing original methodological research, and solving public health problems, Providing scientific and biostatistical or bioinformatics leadership in the design, conduct, and analysis of collaborative research studies in medicine and public health, Applying modern statistical and computational methods to effectively analyze complex medical and public health data, including the development of new software for nonstandard problems and simulation methods, Collaborating and communicating effectively with research scientists in related disciplines and Teaching biostatistics or bioinformatics effectively to health professionals, research scientists, and graduate students. Students join a community of leading scientists and educators from around the world. The department's location in the heart of Boston's Longwood Medical Area-home to Harvard Medical School, the Dana-Farber Cancer Institute, and many world-class hospitals-makes collaboration with eminent laboratory and clinical researchers a natural part of the educational experience. The faculty includes leaders in the development of statistical methods for clinical trials and observational studies, studies on the environment, and genomics/genetics. Specific areas of statistical and bioinformatics research include traditional areas such as survival analysis, Bayesian statistics, meta-analysis, and spatial statistics, along with modern approaches to causal inference, personalized medicine, neurostatistics, big data, and computational biology. The department's research in statistical methods and interdisciplinary collaborations provides many opportunities for student participation.