About the NIH Training Programs and Grants

Student giving a presentation.

Biomedical Big Data to Knowledge Training Program

The Biomedical Big Data to Knowledge (B2D2K)Training Program is a National Institutes of Health-funded predoctoral training program that is aimed at training the next generation of data scientists. 

B2D2K trainees are a diverse mix of scientists engaged in integrative analysis of biomedical data to advance science and improve health. The program builds on faculty research and curricula from multiple graduate programs at Penn State and at Geisinger, and is supported by the NRSA Institutional Predoctoral Training Program (T32) in the National Library of Medicine. 

Trainees learn to develop novel algorithmic and statistical methods for building predictive, explanatory, and causal models for integrative analysis of electronic health record, genomics, behavioral, socio-economic, and environmental data. Trainees are supported for a period of two years as a part of their doctoral program.

Computation, Bioinformatics, and Statistics Training Program

The Computation, Bioinformatics, and Statistics (CBIOS) Training Program is a National Institutes of Health-funded predoctoral training program that is aimed at preparing young scientists to excel in cross-disciplinary genomics research that cuts across the traditional disciplines of life sciences, computer science, bioinformatics, and statistics. 

CBIOS trainees are vital members of the genomics and bioinformatics research community that strives to harvest insights from genomic data to improve human health. This program builds on faculty research and curricula from multiple graduate programs at Penn State, and is supported by the NRSA Institutional Predoctoral Training Program (T32) in Bioinformatics and Computational Biology in the National Institute of General Medicine. 

The focus of the CBIOS program is to provide cross-disciplinary, early training to selected trainees from participating graduate programs. Trainees are supported for a period of two years as a part of their doctoral program.

Eukaryotic Gene Regulation Training Program

The Eukaryotic Gene Regulation (EGR) Training Program is a National Institutes of Health funded predoctoral training program that is aimed at preparing young scientists in experimental, molecular and computational sciences applied towards understanding mechanisms of eukaryotic gene regulation.

EGR trainees will gain critical expertise in biophysics, biochemistry, molecular biology, genetics, computational biology, and statistics to address fundamental questions in gene regulation.The program is supported by the NRSA Institutional Predoctoral Training Program (T32) in ‘Cellular, Biochemical and Molecular Sciences’.

Trainees will gain a thorough understanding of the scientific process, responsible conduct in science, fluency in innovative research methodologies, ability to utilize genomics and statistical tools in advancing genome-wide experimental approaches, excellence in cross-disciplinary communication, and leadership in cross-disciplinary research teams.  Trainees are supported for a period of two years as a part of their doctoral program.

Physiological Adaptations to Stress Training Grant

Physiological Adaptations to Stress is an NIH- funded (T32) interdisciplinary training program from the National Institute of General Medical Sciences (NIGMS). We prepare students to address important research questions related to human health and disease. 

Value-added training in business entrepreneurship, regulatory issues and team dynamics through the Penn State MBA program, helps prepare students for emerging academic and nonacademic careers in the biomedical sciences. Faculty trainers are associated with the Huck Institutes of the Life Sciences through the Colleges of Agricultural Sciences, Engineering, Health and Human Development, and Science.

Our program marries research related to human disease with solid business acumen. Underrepresented minorities and students with disabilities are encouraged to apply.

Bioinformatics and Genomics Symposium