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 doctoral program is interdepartmental and the result of a collaboration between the four academic units that comprise the CCMB:  Applied Mathematics, Computer Science, Ecology & Evolutionary Biology, and Molecular Biology, Cell Biology & Biochemistry.

The Undergraduate program offers four possible 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, 2013, and 2014, reported they were doing in their first year after graduation.



  • Analyst, Cornerstone Research
  • Data Scientist, Newsle, Inc.
  • Quality Assurance/ Software Tester Intern, Volute Technologies
  • Research Assistant, Stanford University

Graduate School

  • Brown University, MS, Computer Science
  • Columbia University, MS, Computer Science



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



  • 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