Quantitative Sciences offers numerous opportunities for faculty and trainees to grow their research. Training opportunities in the Division are available through the Convergence Institute’s postdoctoral fellowship and internship programs in computational oncology. Trainees are provided with both formal didactic training as well as experiential learning through lab meetings and shadowing collaborating labs to the skills needed to design their own experiments. Computational oncology fellows will develop twofold expertise in data science and cancer biology. Additionally, postdoctoral fellows will obtain experience as teaching assistants in classes to be offered through the Convergence Institute-Sponsored Center for Computational Genomics and office hours to assist additional trainees in high-throughput data analysis. A peer group and dedicated grant writers are available to support applications for National Cancer Institute data science training grants.

Division faculty, in collaboration with the JHU Single Cell Training and Analysis Center (STAC) and the Convergence Institute, offer workshops in introductory programming, genomics, biostatistics, high-throughput study design and machine learning to empower biologists in high-throughput data analysis. The division will mentor trainees to design advanced curricula from formal courses offered in data sciences, computational biology and biostatistics offered at JHU and online.