Perspectives on an education in computational biology and medicine

Yale J Biol Med. 2012 Sep;85(3):331-7. Epub 2012 Sep 25.

Abstract

The mainstream application of massively parallel, high-throughput assays in biomedical research has created a demand for scientists educated in Computational Biology and Bioinformatics (CBB). In response, formalized graduate programs have rapidly evolved over the past decade. Concurrently, there is increasing need for clinicians trained to oversee the responsible translation of CBB research into clinical tools. Physician-scientists with dedicated CBB training can facilitate such translation, positioning themselves at the intersection between computational biomedical research and medicine. This perspective explores key elements of the educational path to such a position, specifically addressing: 1) evolving perceptions of the role of the computational biologist and the impact on training and career opportunities; 2) challenges in and strategies for obtaining the core skill set required of a biomedical researcher in a computational world; and 3) how the combination of CBB with medical training provides a logical foundation for a career in academic medicine and/or biomedical research.

Keywords: MD/PhD; bioinformatics; computational biology; graduate education.

MeSH terms

  • Biomedical Research / education*
  • Career Choice
  • Clinical Medicine / education*
  • Computational Biology / education*
  • Curriculum
  • Databases, Factual
  • Education, Graduate / methods
  • Humans
  • Interdisciplinary Communication
  • Medical Laboratory Personnel / education
  • Students, Medical
  • Workforce