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Biomedical Informatics and Data Science Training Program

National Library of Medicine (NLM) Funded

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:

  1. Clinical informatics - focused in areas of clinical medicine and patient care
  2. Translational bioinformatics - focused in areas of genomics and proteomics, broadly defined
  3. Clinical research informatics - focused in areas of clinical trials and data sciences

Examples that illustrate each area can be found in the Research section that describes projects that previous trainees and fellows have carried out. We are also interested in helping provide each fellow as much integrated training in these areas as possible. We feel that it is extremely important for fellows and trainees working in each of these areas to interact with one another. There are many common research themes that underlie all areas of Biomedical Informatics and Data Science. In addition, research projects will increasingly involve several of these areas, as diverse types of data need to be integrated to fully understand biomedical phenomena. We anticipate that informatics researchers in all of these areas will be collaborating with each other on research, teaching, and other institutional initiatives throughout their careers. As a result, our training program emphasizes the interaction and interchange between fellows working in all areas of biomedical informatics and data science. Learn more information about other informatics training programs funded by the National Library of Medicine.

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).