Computational & Knowledge Management Scientist

Job Location
Cambridge, MA 02140
Job Description

As a computational and knowledge management scientist, you will be responsible for working on research collaborations in the biomarkers/discovery department as well as management and development of the BEL language ( in the engineering/development department. You will use molecular profiling to investigate the biological networks activated by diseases and therapeutics in individual patients. Your knowledge of molecular and cellular biology and computational methods will be instrumental in the development of analyses and novel methods for investigating disease as well as response to treatment. You will be required to learn the requirements of biological knowledge representation using BEL, and how to encode knowledge for computational analysis. You will provide internal and external support for the BEL language, tutorial development, some evangelism and user support, scripting development and data processing management for supporting biological entity equivalences, reference identifiers for BEL and conversation of databases into BEL.

Your background should include strong scientific and computational skills, and an advanced degree in computational biology, bioengineering, or related field. You should have a strong affinity for hypothesis development and testing in a collaborative research environment, and a strong desire to learn new things. Excellent communication skills and a strong customer focus are desired. You will work in a highly skilled team environment, working closely with other scientists and computational scientists, as well as software engineers, statisticians, and project managers. Your team will collaborate with leading pharmaceutical and consumer product scientists, working together to solve some of the toughest problems in personalized medicine.

Candidates should be – or plan to be – local to the Boston area, and authorized to work in the US. While the skills below are desired, if you meet only some of the criteria but can demonstrate problem solving acumen and a drive to learn new skills in a fast-paced environment, we encourage you to apply.



     Minimum Master's Degree in biological science or computational biology and three years relevant work experience

     Ph.D. (or equivalent) Degree in biological science or computational biology preferred



  • Ability to devise, implement, and apply computational methods to solve difficult biological problems
  • Demonstrable experience writing code to solve difficult biological problems – R or MATLAB proficiency preferred but not required
  • Ruby, Python, Git, data management/processing experience (these skills are desired but can also be learned on the job given demonstrated computational ability)
  • Excellent communication and scientific writing skills
  • Experience in a project-oriented, deadline-driven team environment
  • Attention to detail in a fast-paced environment


Other Desired Qualifications

  • Experience working with microarray or other high-throughput experimental data (e.g., genomic, proteomic, metabolomics, RNA-seq data) is a plus
  • Statistical or bioinformatics background
  • Experience developing classifiers or biomarkers
  • Experience working with clinical data
  • Strong leadership skills
  • Self-motivation
  • Creativity
  • Experience in oncology or inflammatory disorders
  • Breadth of experience in disease research
How to Apply

Students whose classmates are interested in science are more likely to think about a career in science, technology, engineering, and mathematics, a new study says.

CNBC reports that the genetic counseling field is expected to grow as personalized medicine becomes more common.

Gladys Kong writes at Fortune that her STEM background has helped her as a CEO.

Social scientists report that the image of the 'lone scientist' might be deterring US students from STEM careers.