Prospective Students

Thanks to sweeping technological transformations, both cancer research and cancer care now generate large and complex data sets. Now, more than ever, cancer research presents a promising opportunity for quantitative sciences to significantly impact public health.

The mission of the Training Grant in Quantitative Sciences for Cancer Research is to provide trainees with deep interdisciplinary experience to advance cancer research.

The program draws on our distinguished faculty, consisting of quantitative scientists as well as experts in cancer research. It enables students to seamlessly participate in training and research activities across Harvard Chan School, the Dana-Farber Cancer Institute, and other leading Harvard institutions that excel in areas related to cancer research.

The Training Program in Environmental Health Statistics prepares predoctoral and postdoctoral fellows for research careers in the application of biostatistics to environmental health.

The program is administered through the Department of Biostatistics, with active participation by faculty members from Harvard Chan School’s Department of Environmental Health and Department of Epidemiology.

Trainees receive rigorous instruction in basic biostatistical theory and methods, such as probability, statistical inference, computing, and data analysis. The program also provides training in specialized topics of particular relevance for environmental applications, such as: 

• longitudinal and multivariate data analysis
• Bayesian methods
• causal inference, as well as statistical genetics
• environmental genomics
• other high-dimensional data techniques

Research and discovery in the life sciences is more interdisciplinary than ever. Therefore, it is critical to train the next generation of quantitative genomic scientists to have a strong understanding of cutting-edge methodological and collaborative research in statistical genetics/genomics and bioinformatics/computational biology. Applications include genetic epidemiology, molecular biology, and genomic medicine.

We are committed to preparing our trainees to become future quantitative leaders. As part of the Interdisciplinary Training in Statistical Genetics/Genomics and Computational Biology program, you will develop and apply advanced, scalable statistical and computational methods to manage, analyze, integrate, and interpret massive genetic and genomic datasets. 

Our program promotes interdisciplinary research and teaches trainees to effectively communicate and collaborate with subject-matter scientists in genetic and genomic research.

The Biostatistics/Epidemiology Training Grant in AIDS prepares graduate students and postdoctoral fellows for biostatistical and epidemiological research directed against the HIV epidemic. The program emphasizes strong training in statistical methodology, epidemiology, and related biologic areas. Students majoring in Biostatistics minor in Epidemiology and vice versa. Both have a second minor in a related field such as virology, biology, health policy, population sciences, or behavioral science. The overall objective of the training program is to combine strong methodological training with an extensive practical exposure to relevant problems and an introduction to specialized research on problems important to combating the HIV epidemic. The presence of expertise in virology, microbiology, and health care issues at the School adds to the unique and strong environment for this training program.