Education
Biomedical Informatics and Data Science is a discipline at the intersection of biomedicine, computer science, and the information sciences. For the field of Biomedical Informatics and Data Science to continue to flourish as an academic discipline, it is essential that there be a growing pool of trained researchers to help academic medical centers and universities (as well as non-academic centers and industry) establish new programs in Biomedical Informatics and strengthen existing programs.
There are three informatics training programs primarily based in Biomedical Informatics & Data Science. The NIH/NLM Biomedical Informatics and Data Science Training Program supports both postdocs and predocs, the ACGME Clinical Informatics Fellowship supports Board Certified Physicians, and the VA Advanced Informatics Fellowships funds postdocs.
Fellowships
NIH/NLM Biomedical Informatics and Data Science Training Program | ACGME Clinical Informatics Fellowship | VA Special Informatics Fellowship | IMPAACT Fellowship | |
---|---|---|---|---|
Students | Postdocs and predocs | MDs Only | Postdocs | |
Director | Cynthia Brandt, MD, MPH | Edward Melnick, MD, MHS | Anthony J. Lisi, DC | |
Funding | NIH, NLM | Departmental, VA | VA | NCMIC Foundation |
Stipend | Calculated from NIH norms based on PGY | Calculated from NIH norms based on PGY | Calculated from NIH norms based on PGY | Calculated from NIH norms based on PGY |
Duration | 2 years (Optional 3rd year) | 2 Years | 2 years (Optional 3rd year) | 2 Years |
Degree | Master of Health Sciences or Masters Computational Bioinformatics (required if not already trained in BMI) | MHS Optional | ||
Eligible for Board Certification | No | Yes | No | |
Eligibility |
1. US citizen or green card holder 2. Postdoc in health-related field (or predoc in computational biology/bioinformatics) |
1. MDs only 2. BC/BE in any ABMS specialty |
1. US citizen 2. Postdoc in health-related field |
1. US Citizen 2. Doctoral degree in the clinical or biological sciences with a focus on nonpharmacological approaches to rehabilitation medicine |
Classes | MHS requirements + electives | Coursework relevant to Core Content for the specialty | MHS requirements + electives | |
Activities | Project-focused research | Defined rotations | Project-focused research | |
Application | CV, personal statement + 3 letters of reference | CV, personal statement + 3 letters of reference | CV, personal statement + 3 letters of reference | CV and letter of interest |
Clinical Time | 40 hrs/wk non-clinical effort required. Moonlighting permitted thereafter | Fellows are encouraged to maintain primary specialty certification subject to 80 duty hrs limits | 40 hrs/wk non-clinical effort required. Moonlighting permitted thereafter | |
Focus | Bioinformatics, translational informatics, clinical informatics, public health informatics | Clinical informatics | Clinical informatics, public health informatics |