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NIH T32 Program Details


Trainees:  The Rheumatology T32 supports trainees at all levels of experience including:  Research Track and Mentored Scholarly Activity Medical Students, PhD Pre-doctoral students (MSTP, Basic Science, and Epidemiology), Fellows (MD, DO, or MD/PhD in Basic/Translational Immunology, Clinical Research, and Health Services Research), and Post-Doctoral PhD students.  MD/PhD students are not eligible.

Content areas:  Trainees have opportunities in Basic Science, Translational, and Clinical research, including Epidemiology and Health Services Research.
  Mentors are available across a broad spectrum of disciplines, drawing from the Division of Rheumatology, the Department of Immunology, the Department of Epidemiology, the Department of Biostatistics & Informatics, the Division of Biomedical Informatics and Personalized Medicine, the Mucosal Inflammation Program, and many clinical divisions (Cardiology, Infectious Diseases, Nephrology, etc.)

​Sites:  The UC Denver Rheumatology T32 includes training sites at the Anschutz Medical Campus (UC School of Medicine, Colorado School of Public Health), Veterans Administration Medical Center, Denver Health Medical Center and National Jewish Health.

Programmatic Strengths include:
  • Extensive Colorado Clinical Translational Science Institute assets
  • 10,000+ sq ft of "Dry Lab" space in the Barbara Davis Center for clinical research studies
  • Formal educational programs (concurrent clinician-educator certificate, Masters of Public Health, PhD, and Masters in Clinical Sciences for clinician trainees)
  • Successful funding by the majority of trainees including NIH K award and Rheumatology Research Foundation Scientist Development Award
  • Joint training opportunities through the Department of Medicine Physician Scientist Training Program (PSTP)
  • Clinical exposure opportunities for basic scientists
  • Administrative staff dedicated to the T32
  • Monthly seminar slots for T32 trainees in the Divisional research
  • Co-mentoring teams comprised of junior and senior faculty
  • Integration with "big data" research initiatives