Predoctoral Biostatistics Training in Genesis/Genomics

描述(由申请者提供)：目标：JHU生物统计学系建议在现有的生物信息学、MHS和生物统计学博士项目的基础上建立一个MHS-PHD联合项目。该计划的目标是培养出将成为跨学科生物医学研究团队的全面科学合作伙伴的毕业生。这将通过将生物统计学和生物信息学设计和分析方法方面的严格培训与培训以及直接参与分子和种群遗传学方面的翻译和跨学科研究相结合来实现。优势：JHU的生物医学研究和教育环境在所有领域都得到了国际认可，以实现我们的目标。我们的计划将建立在成功的生物统计学博士计划和生物信息学MHS计划的基础上，并将从应用数学和统计学、人类遗传学和遗传流行病学的博士计划中汲取额外的力量。机构支持包括出色的生物计算基础设施和干燥的实验室空间，为分子和种群遗传学所有计算方面的研究人员提供共同的智力和物理环境，以便与我们的受训人员合作。我们的方法论核心教员在遗传学和基因组学中广泛的设计和数据分析问题方面拥有既定的研究记录，经常伴随着高影响力的实质性研究议程，并在合作和对翻译研究的贡献方面表现出良好的记录。计划：综合的MHS/PhD计划有一个简单的总体结构，由遗传学、计算、统计方法和理论四个平行的课程序列组成，并辅之以实验室轮换、以实习为基础的MHS顶峰项目和博士论文。与标准的生物统计学课程相比，拟议的课程作业具有相当大的灵活性，并包括大量额外的跨学科培训。每年将为最多六名学员提供培训补助金支持。每项研究将在最初的3年内得到资助；研究助学金将为剩余的时期提供资金。该项目将设在生物统计学系，并得到生物统计学、应用数学和统计学、流行病学、分子微生物学和免疫学以及肿瘤学系教员的支持。

DESCRIPTION (provided by applicant): Goals: The JHU Department of Biostatistics proposes a joint MHS-PhD built upon the existing Bioinformatics MHS and Biostatistics PhD programs. The program's goal is to produce graduates that will be full scientific partners on interdisciplinary biomedical research teams. This will be achieved by integrating rigorous training in biostatistics and bioinformatics design and analysis methods with training and direct participation in translational and cross-disciplinary research in molecular and population genetics. Strengths: The JHU biomedical research and education environment is internationally recognized in all areas required to meet our goal. Our program will be built on the successful PhD program in Biostatistics and MHS program in Bioinformatics, and will draw additional strength from the PhD programs in Applied Mathematics & Statistics, Human Genetics, and Genetic Epidemiology. Institutional support includes an outstanding biocomputing infrastructure and a dry laboratory space that provides a common intellectual and physical environment for researchers in all computational aspects of molecular and population genetics to work together with our trainees. Our methodological core faculty has an established record of research in a broad spectrum of design and data analysis problems in genetics and genomics, often coupled with a high-impact substantive research agenda, and a demonstrated record of collaboration and contributions to translational research. Plan: The integrated MHS/PhD program has a straightforward overall structure, consisting of four parallel sequences of courses in Genetics, Computing, Statistical Methods, and Theory, complemented by a laboratory rotation, an internship-based MHS capstone project and the PhD theses. The proposed coursework allows for considerably increased flexibility compared to standard biostatistics curricula and includes substantial additional interdisciplinary training. Training grant support will be provided for up to six trainees per year. Each will be supported for the initial 3 years; research assistantships will fund the remaining period. The program will be housed in the Department of Biostatistics and be supported by faculty in the Departments of Biostatistics, Applied Mathematics & Statistics, Epidemiology, Molecular Microbiology & Immunology, and Oncology.