Biomedical Informatics and Data Science Training Program
Clinical, Translational Bioinformatics and Clinical Research Informatics
The Biomedical Informatics and Data Science Training Program supports predoctoral and postdoctoral fellows. There are three general areas of emphasis in the training program:
- Clinical informatics - focused in areas of clinical medicine and patient care,
- Translational bioinformatics - focused in areas of genomics and proteomics, broadly defined
- Clinical research informatics - focused in areas of clinical trials and data sciences.
Eligibility & Application
Postdoc applicants should have a doctoral degree (e.g., an MD or PhD) in the clinical or biological sciences. Applicants should also have considerable computer programming experience and a desire to pursue a career based, in whole or in part, in Biomedical Informatics.
The postdoctoral fellowship is normally a 2-3 year experience. If appropriate, a fellow (e.g., with an MD) may enroll for a longer period of time to study for a PhD, for example in Yale’s PhD program in Computational Biology and Bioinformatics.
We ask all applicants to send us a Curriculum Vitae, along with a one or two page description of their computer experience and career objectives. We also require three letters of reference. Due to limitations imposed by our funding, applicants must be U.S. citizens or permanent residents. Applications from women and minorities are encouraged.
Predoc applicants should see the eligibility and requirements on Computational Biology and Bioinformatics (CBB).