Computational biologist - cancer genomics

Seven Bridges Genomics
Job Location: 
Cambridge, MA
Job Description: 

You know genomics and you like to share your knowledge.

You have broad competence in the field and expert knowledge of some part of it.

You know how to tell good information from bad, how to draw interesting and intellectually responsible results from good information, and how to communicate those results in an accurate and engaging way.

You are ready to refine your knowledge and to keep learning about a quickly changing field.

You have experience with heterogenous tumor datasets, perhaps with TCGA, ICGC, or another major cancer project. You also know molecular evolution well enough to understand concepts like background mutation rates and clonal expansion.

You understand structural variation, especially copy-number variation and translocation, and somatic mutations. You are conversant with some of the algorithmic approaches to the study of structural variation (SV ‘signals’ in particular), and you know enough about high-performance computing to write efficient code in C, C++, or Java.

You will work with our industry-leading team and data to plan, write, and publish articles and results. You will participate in our R&D efforts, which will focus on improving cancer genomics applications, pipelines, and databases. You will find the best venues and methods to explain your results to the community. You already have academic publications, a good blog, or other experience writing about science.

  • An advanced degree in biology, bioinformatics, computer science, biology, statistics, or a related discipline.
  • The proven ability to write about science in a rigorous, academic manner.
  • The proven ability to communicate science to non-expert audiences.
  • Contact Information: 

    send all inquiries and resumes/cover letters to

    About Our Organization: 

    Seven Bridges Genomics ( is building the most advanced cloud computing platform for genomics data analysis on the market. Voted “Best of Bio IT World 2013”, we enable researchers to analyze genomic data faster and more efficiently than ever possible, so that they can focus on advancing the fields of genomics and personalized medicine.