Predoctoral Biostatistics Training in Genesis/Genomics

目标：JHU生物统计学系提出了一个建立在现有生物信息学基础上的联合MHS-PhD MHS和生物统计学博士课程。该计划的目标是培养出完全科学的毕业生 跨学科生物医学研究团队的合作伙伴。这将通过整合严格的培训来实现 在生物统计学和生物信息学设计和分析方法方面， 分子和群体遗传学的转化和跨学科研究。优势：JHU 生物医学研究和教育环境是国际公认的所有领域所需满足的 我们的目标我们的计划将建立在成功的生物统计学博士课程和MHS计划的基础上， 生物信息学，并将从应用数学与统计学博士课程中汲取额外的力量， 人类遗传学和遗传流行病学。机构支持包括一个杰出的生物计算 基础设施和干燥的实验室空间，为学生提供共同的智力和物理环境， 研究人员在分子和群体遗传学的所有计算方面与我们一起工作， 实习生我们的方法论核心教师在广泛的研究领域有着既定的记录， 遗传学和基因组学中的设计和数据分析问题，通常与高影响力的实质性问题相结合， 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，包括四个平行的 遗传学，计算机，统计方法和理论课程的序列，辅以 实验室轮换，实习为基础的MHS顶点项目和博士论文。拟议 与标准生物统计学课程相比，课程作业允许大大增加灵活性， 包括大量额外的跨学科培训。培训补助金支持将提供多达6个 学员每年。每个项目将在最初的3年得到支持;研究助学金将资助 剩余时间。该计划将设在生物统计学系，并得到教师的支持 在生物统计学，应用数学与统计学，流行病学，分子微生物学部门 免疫学和肿瘤学。

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.