National Library of Medicine (NLM), T15 Predoctoral & Postdoctoral Training Grant

 

NIH NLM 

The Biomedical Informatics and Data Sciences (BIDS) program at the Johns Hopkins School of Medicine is pleased to announce it is the recipient of a National Library of Medicine (NLM) T15 Training Grant. The NLM training grant funds predoctoral (PhD) and postdoctoral trainees in the Hopkins Biomedical Informatics and Data Sciences Graduate Program for five years through 2027.

The co-Directors are Christopher Chute MD, DrPH and Hadi Kharrazi MD, PhD.

  • Dr. Chute is the Bloomberg Distinguished Professor of Health Informatics, Professor of Medicine, Public Health, and Nursing at Johns Hopkins University, and Chief Research Information Officer for Johns Hopkins Medicine. He leads the Biomedical Informatics and Data Science section of the Department of Medicine.
  • Dr. Kharrazi is the director of the DrPH Informatics track at the Johns Hopkins School of Public Health. In the Hopkins School of Medicine, he is the director of the Health Sciences Informatics PhD and MSc Research programs, Biomedical Informatics and Data Science.

Fellowship Program


In 2022, we were awarded the NIH National Library of Medicine (NLM) biomedical informatics training grant. Individuals seeking graduate degrees leading to research careers in biomedical informatics, who are US citizens, non-citizen nationals, or have permanent residency status (as evidenced by Card I-551), are eligible. 

The NLM fellowship is awarded after acceptance into the biomedical informatics graduate degree programs. Application for admission to graduate studies is made directly through the Johns Hopkins Graduate admissions portal here.

Please consult the BIDS program's website for application details here.

About the Biomedical Informatics and Data Sciences program at Hopkins

In keeping with the tradition of the Johns Hopkins University and the Johns Hopkins Hospital, the program seeks excellence and commitment in its students to further the prevention and management of disease through the continued exploration and development of health IT. Division resources include a highly collaborative clinical faculty committed to research at the patient, provider and system levels. The admissions process will be highly selective and finely calibrated to complement the expertise of faculty mentors.

Areas of research:
  • Clinical Research Informatics
  • Healthcare/Clinical Informatics
  • Translational Bioinformatics
  • Public Health Informatics