Predoctoral Biostatistics Training in Genetics/Genomics

描述（由申请人提供）：目标：JHU生物统计学系提出了一个建立在现有生物信息学MHS和生物统计学博士课程基础上的联合MHS-博士学位。该计划的目标是培养毕业生，他们将成为跨学科生物医学研究团队的全面科学合作伙伴。这将通过将生物统计学和生物信息学设计和分析方法的严格培训与分子和群体遗传学的翻译和跨学科研究的培训和直接参与相结合来实现。优势：JHU生物医学研究和教育环境在实现我们目标所需的所有领域都得到国际认可。我们的计划将建立在成功的生物统计学博士课程和生物信息学MHS计划的基础上，并将从应用数学与统计学，人类遗传学和遗传流行病学博士课程中汲取额外的力量。机构支持包括一个优秀的生物计算基础设施和干燥的实验室空间，为分子和群体遗传学的所有计算方面的研究人员提供了一个共同的智力和物理环境，与我们的学员一起工作。我们的方法论核心教师在遗传学和基因组学的设计和数据分析问题的广泛范围内有着既定的研究记录，通常伴随着高影响力的实质性研究议程，以及合作和贡献转化研究的证明记录。计划：综合MHS/博士课程有一个简单的整体结构，包括遗传学，计算，统计方法和理论课程的四个平行序列，辅以实验室轮换，基于实习的MHS顶点项目和博士论文。与标准生物统计学课程相比，拟议的课程可以大大增加灵活性，并包括大量额外的跨学科培训。每年将向最多6名受训人员提供培训补助金支助。每个项目将在最初的3年得到支持;研究助学金将资助剩余的时间。该计划将设在生物统计学系，并由生物统计学，应用数学与统计学，流行病学，分子微生物学与免疫学和肿瘤学系的教师提供支持。

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.