Genomics Training Grant

Training the next generation of leading quantitative genomic scientists

Interdisciplinary Training in Statistical Genetics/Genomics & Computational Biology

Groundbreaking research and discovery in the life sciences in the 21st century are more interdisciplinary than ever. To expedite scientific advances in the “omics” era, it is critical 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 preparing our trainees to become future quantitative leaders –developing and applying advanced, scalable statistical and computational methods to manage, analyze, integrate, and interpret massive genetic and genomic data in basic science and epidemiological and clinical studies. Our program will promote interdisciplinary research and teach trainees to effectively communicate and collaborate with subject-matter scientists in genetic and genomic research.

The Predoctoral Training Grant (T32GM135117) that supports this training is provided by the NIGMS Biostatistics Training Grant Program.

Training Grant Outcomes

Training Grant students who have entered the program post-Bachelors have completed their doctoral degrees within 4-5 years, with a typical completion time of 5 years.

For students who entered the program between fall 2007 and fall 2017, the graduation rate was 100%.

A total of 17 appointees have completed their training over the last 15 years. Of those, 53% have gone on to jobs in academia, 6% in government research, 35% in industry, and 6% are currently on the job market.

Events

News

Training grant alumnus, Zack McCaw, was awarded an F31 Grant for his research on “Innovations in Genome Wide Association Testing Inspired by Obstructive Sleep Apnea Phenotypes” Grant Number: F31HL140822

Career Development

Faculty, alum, leading scientists, and staff provide students and post-docs with career development opportunities including professional skills training, public speaking and writing workshops, leadership coaching, networking opportunities, perspectives on career paths in biostatistics, computational biology, and data science.