Post-Graduate Data

Computational Biology

Computational biology involves the analysis and discovery of biological phenomena using computational tools, and the algorithmic design and analysis of such tools. The field is widely defined and includes foundations in computer science, applied mathematics, statistics, biochemistry, molecular biology, genetics, ecology, evolution, anatomy, neuroscience and visualization. The program educates the student liberally in these fields, building on a foundation of coursework that may then focus via several possible tracks. The program offers four tracks: computational genomics, biological sciences, molecular modeling and applied mathematics and statistical genomics. The program requires a senior capstone experience that pairs students and faculty in creative research collaborations. 

Here's what concentrators from the classes of 2012 and 2013 reported they were doing in their first year after graduation.

2013

Employment

  • Database Coordinator, Massachusetts General Hospital
  • Software Developer, The Broad Institute
  • Software Engineer, InsightSquared
  • Software Engineer, TripAdvisor

2012

Employment

  • Computational Biologist, Broad Institute of MIT and Harvard
  • Product Manager, Yelp
  • Sales, Trading, and Quantitative Analysis Analyst, Citigroup
  • Software Engineer, Google, Inc.

Graduate School

  • MD
  • Stanford University, PhD, Evolutionary Genetics
  • Universityof California-Berkeley, PhD, Molecular and Cell Biology
  • Yale University, PhD, Biological Sciences