Interdisciplinary training: Statistical Genetics/Genomics and Computational Biology

项目摘要/摘要 这是跨学科培训计划在统计遗传学/基因组学和 哈佛公共卫生学院(HSPH)计算生物学。实习生将是博士生预科学生 在HSPH的生物统计学和流行病学系，这将共同管理这笔赠款。这个 该计划计划为1-2年级的8名博士前学生和3-5年级的10名博士前学生提供支持。 这是哈佛大学公共卫生学院唯一提供统计学综合培训的项目 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 定量基因组科学家对尖端技术有很强的理解和承诺 统计遗传学/基因组学和生物信息学/计算领域的方法论和协作研究 生物学及其在遗传流行病学、分子生物学和基因组医学中的应用。我们承诺 培训学员成为未来的量化领导者，以开发和应用先进的、可扩展的统计和 管理、分析、集成和解释海量遗传和基因组数据的计算方法 基础科学、流行病学和临床研究，以促进跨学科研究，并有效 在基因和基因组研究方面与主题科学家进行交流和合作。实习生收到 大组学、数据科学和可再生研究方面的量化培训。培训计划涉及到积极的 26名多学科教员参与，他们是公认的科学领袖，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 生物学家和临床基因学家。它结合了课程作业中的训练元素，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式实验室 流行病学、方法学指导和协作研究，以及丰富的职业发展机会 在一个激励和培养跨学科的环境中，这将为毕业生成为领导者做好准备。 量化基因组科学家。将为学员提供量身定做的广泛个性化指导 为了实现自己的职业目标，他们需要制定个人发展计划。丰厚的职业生涯 发展计划帮助学员获得科学交流、教学、拨款和论文写作方面的技能， 团队合作、协作和领导力。实习生的进度受到密切监控，以确保 苦苦挣扎的人可以迅速被发现并得到及时的支持。计划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，包括现任和过去的实习生、教职员工和 外部咨询委员会。精心制定招聘和留用计划，以促进多样性 并确保代表人数不足的少数群体、妇女、残疾人和经济-- 弱势实习生。

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.