Interdisciplinary training: Statistical Genetics/Genomics and Computational Biology

项目总结/摘要 这是统计遗传学/基因组学跨学科培训计划的应用， 计算生物学在哈佛公共卫生学院（HSPH）。受训人员将是博士预科生 在生物统计学和流行病学部门的HSPH，这将共同管理赠款。的 该计划建议在第1-2年支持8名博士预科生，在第3-5年支持10名博士预科生。 这是哈佛公共卫生学院唯一一个提供统计综合培训的项目。 遗传学/基因组学和计算生物学。该计划的目标是培养下一代的 定量基因组科学家有一个强大的理解，并致力于，尖端 统计遗传学/基因组学和生物信息学/计算方法和协作研究 生物学与遗传流行病学、分子生物学和基因组医学的应用。我们致力 培训学员成为未来的定量领导者，以开发和应用先进的，可扩展的统计和 计算方法来管理，分析，整合和解释大量的遗传和基因组数据， 基础科学、流行病学和临床研究，以促进跨学科研究，并有效地 与遗传和基因组研究领域的主题科学家进行交流和合作。受训人员获得 大`组学数据科学和可重复研究的定量培训。该培训计划涉及积极的 26名公认的科学领导者，包括 生物统计学家、生物信息学家和计算生物学家、遗传流行病学家和分子生物学家。 生物学家和临床基因组学家。它结合了课程培训的元素，在两个湿实验室轮换 生物科学实验室和统计遗传学和基因组学，计算生物学和遗传学的干实验室 流行病学，指导方法和合作研究，以及丰富的职业发展机会 在一个刺激和培育跨学科的环境，这将准备毕业生成为领先的 定量基因组科学家将为受训者提供量身定制的广泛的个性化辅导 他们的职业目标，并要求制定个人发展计划。丰富的职业生涯 发展计划帮助受训者获得科学交流，教学，赠款和论文写作方面的技能， 团队合作和领导力。密切监测受训人员的进展情况，以确保 能迅速发现困难，及时给予支持。项目评估过程涉及两个方面 来自所有利益相关者的内部和外部反馈，包括当前和过去的学员，教师和 外部咨询委员会。精心制定招聘和保留计划，以促进多样性 并确保代表性不足的少数群体、妇女、残疾人和经济- 弱势学员。

PROJECT SUMMARY/ABSTRACT This is an application of the Interdisciplinary Training Program in Statistical Genetics/Genomics and Computational Biology at the Harvard School of Public Health (HSPH). Trainees will be pre-doctoral students at HSPH in the Departments of Biostatistics and Epidemiology, which will jointly administer the grant. The Program proposes support for 8 predoctoral students in years 1-2 and 10 predoctoral students in years 3-5. This is the only program at Harvard School of Public Health that provides integrative training in statistical genetics/genomics and computational biology. The goal of the program is to train the next generation of quantitative genomic scientists to have a strong understanding of, and commitment to, cutting-edge methodological and collaborative research in statistical genetics/genomics and bioinformatics/computational biology with applications in genetic epidemiology, molecular biology and genomic medicine. We are committed to train trainees to become future quantitative leaders to develop and apply advanced, scalable statistical and computational methods to manage, analyze, integrate, and interpret massive genetic and genomic data in basic science, epidemiological and clinical studies, to promote interdisciplinary research, and to effectively communicate and collaborate with subject-matter scientists in genetic and genomic research. Trainees receive quantitative training in big `omics data science and reproducible research. The training program involves active participation by 26 multidisciplinary faculty members who are recognized scientific leaders, including biostatisticians, bioinformaticians and computational biologists, genetic epidemiologists, and molecular biologists, and clinical genomicists. It combines elements of training in coursework, lab rotations in both wet labs in biological science and dry labs in statistical genetics and genomics, computational biology, and genetic epidemiology, directed methodological and collaborative research, and rich career development opportunities in a stimulating and nurturing interdisciplinary environment, that will prepare graduates to become leading quantitative genomic scientists. Trainees will be provided with extensive individualized mentoring tailored towards their career objectives and are required to develop Individual Development Plans. The rich career development programs help trainees gain skills in scientific communication, teaching, grant and paper writing, teamwork, collaboration, and leadership. Trainee progress is closely monitored to ensure that those who are struggling can be quickly identified and receive timely support. The Program evaluation process involves both internal and external feedbacks from all the stakeholders, including current and past trainees, faculty and the External Advisory Committee. Recruitment and retention plans are carefully developed to promote diversity and ensure participation and full inclusion of underrepresented minorities, women, disabled and economically- disadvantaged trainees.