Education & Training
- NLM Pre & Postdoctoral Training Grant Fellowship
- NIH Predoctoral Training Program
- How to Cite a Training Grant
- Computer Science and Engineering PhD
- Bioinformatics PhD
- Internships
- Courses
- Seminars
Biomedical informatics is an interdisciplinary field requiring knowledge of biology, medicine, computer and information sciences, engineering, biostatistics, and human behavior. Our trainees come from a wide range of educational and professional backgrounds including physicians, nurses, computer scientists, engineers, cognitive scientists, biochemists, and statisticians.
Research areas are separated into four broad tracks, but overlap across tracks is also encouraged. We provide opportunities for specialization in a variety of areas, including but not limited to:
Human Genetics
Structural Genomics, Proteomics and Metabolomics
Epigenomics and Functional Genomics
Systems Biology and Network
Clinical Informatics, Implementation Science, and Machine Learning Operations
Human-Computer Interaction and Usability
Pharmacy Informatics
Infectious Disease Informatics
Imaging Informatics
Informatics and Information Technology Infrastructures for Human Subjects Research
Machine Learning and Deep Learning
Real-time and Streaming Analytics
Wearable Sensors and Edge Computing
Clinical Data Research Networks
Data Modeling for Discovery and Reuse
Internet of Things (IoT) for outpatient monitoring
Health behaviors and environmental exposure assessment
Global Health
Syndromic surveillance
Our training program is an intellectually invigorating course of study that will form an excellent basis for starting your career in biomedical informatics research.
Other related Master's degree programs for Postdoctoral trainees may be considered on a case-by-case basis.
Determining which degree is best for you will depend upon your academic background and your professional interests.
In July 2012, 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. We were renewed an additional five years in 2017 and again in 2022. Our five-year grant supports a total of 8 biomedical informatics trainees, including pre-doctoral Bioinformatics Ph.D. students and postdoctoral MD's pursuing the Masters in Clinical Research.
To qualify for this fellowship, you must be seeking a graduate degree leading to a research career in biomedical informatics, and must be a US citizen, non-citizen national, or have permanent residency status (as evidenced by Card I-551).
The NLM fellowship is awarded after acceptance into one of the biomedical informatics graduate degree programs. Application for admission to graduate studies is made directly through your chosen degree program. Please consult each program's website for application details:
The UCSD National Library of Medicine (NLM) Postdoctoral Fellowship Program in Biomedical Informatics provides outstanding mentored research training in biomedical informatics to trainees who have already received doctoral-level graduate or professional degrees. Our postdoctoral trainees have come from a wide variety of backgrounds, including medicine, surgery, pediatrics, anesthesiology, ophthalmology, nursing, pharmacy, psychology, computer science, and engineering. The program aims to prepare fellows for a range of careers in biomedical informatics, with a particular emphasis on preparing for independent research careers and leadership positions.
Postdoctoral applicants, including but not limited to M.D.'s and Ph.D.'s should provide the following materials to dbmifellowship@ucsd.edu.
Please note that M.D. NLM-T15 postdoctoral fellows accepted are normally required to complete a Masters in Advanced Studies in Clinical Research (MAS-CLRE), as a part of their Fellowship training, unless they already hold an equivalent degree. More information about the MAS-CLRE program.
For administrative questions, contact:
Maria Triplett
Academic and Research Cordinator
M1Triplett@health.ucsd.edu