Predoctoral Biostatistics Training in Genesis/Genomics

目标：JHU生物统计系建议在现有生物信息学的基础上建立一个MHS-PHD联合 麻省理工学院和生物统计学博士课程。该计划的目标是培养出完全具有科学性的毕业生 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 生物统计学和生物信息学设计和分析方法方面的培训和直接参与 分子遗传学和群体遗传学的翻译和跨学科研究。优势：JHU 生物医学研究和教育环境在国际公认的所有领域都需要满足 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MHS计划的基础上 生物信息学，并将从应用数学和统计学的博士课程中获得额外的力量， 人类遗传学和遗传流行病学。机构支持包括杰出的生物计算 基础设施和干燥的实验室空间，为 分子和群体遗传学所有计算方面的研究人员与我们的 实习生。我们的方法论核心教员拥有广泛的研究记录 遗传学和基因组学中的设计和数据分析问题，往往伴随着高影响的实质性 研究议程，以及对翻译研究的合作和贡献的证明记录。 计划：综合MHS/PHD计划有一个简单的总体结构，由四个平行的 遗传学、计算、统计方法和理论的课程序列，辅以 实验室轮换，以实习为基础的MHS顶峰项目和博士论文。建议数 与标准的生物统计学课程相比，课程作业允许相当大的灵活性 包括大量额外的跨学科培训。将为最多六个人提供培训补助金支持 每年的实习生人数。每个项目都将在最初的3年内得到支持；研究助学金将为 剩余期限。该项目将设在生物统计学系，并得到教职员工的支持 生物统计学、应用数学与统计学、流行病学、分子微生物学 &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.