About the T15 Training Grant
The NLM T15 program at the University of Utah has a long history of innovating healthcare delivery and biomedical research. Biomedical Informatics has traditionally moved biomedicine forward by studying information and its use within intelligent systems. Data Science is a highly synergistic discipline that enables us to extract information from data, with a focus on increasingly large data. In this program, we combine these approaches to enable a wide range of research discoveries. Our goal is to empower our trainees through education and experience to be independent, innovative, and self-directed scientists who are able to transform data into knowledge and impact the manner in which knowledge is applied to real-world situations to improve the health of individuals and populations.
This grant funds research training of 6 predoctoral and 3 postdoctoral students in biomedical informatics. The postdoctoral positions are limited to US citizens or green card holders and can take two forms:
Postdoctoral trainees with a doctorate in a health-related field (M.D., Ph.D., PharmD, or other healthcare doctorate): Trainees in this category are strongly encouraged to pursue Biomedical Informatics postdoctoral training, leading to a degree (Master's or Ph.D.). The position is funded for up to 3 years. Stipend support rates can be found on the NLM website.
Postdoctoral trainees with a doctorate in informatics, computer science, or a related field: Trainees in this category are eligible for funding between 1-3 years while pursuing advanced informatics training, which typically does not lead to a degree. These positions are funded at the NLM stipend support rates.
Predoctoral applications are considered during the general admissions process every year with admittance for fall semester. Please contact the Academic Program Manager before starting an application to confirm funding availability.
NLM-Funded Postdoctoral Fellowships. Postdoctoral applications do not follow the general admissions timelines. Application requirements:
Statement of Research Interests
Faculty member(s) you are interested in working with