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Computational Science

Sr. Scientist II, Computational Biology

  • Cambridge, MA
  • Added
Asset 1

Position Overview:

We are seeking an innovative and collaborative computational scientist to support the development of novel gene editing therapies using our next-generation, state-of-the-art technology. The individual in this position will play a key role in developing Beam’s computational biology tools and infrastructure and will work closely with experimental scientists to support therapeutic programs and other research activities.

Primary Responsibilities:

  • Develop computational pipelines to analyze data from novel and existing next-generation sequencing (NGS) assays for the assessment of on-target and potential off-target gene editing events.
  • Analyze complex biological datasets by deploying statistical methods and visualization tools to draw conclusions.
  • Work closely with program teams and provide computational support for target identification, guide RNA design, experimental design, and follow-up data analysis such as targeted genome sequencing and RNA sequencing.
  • Create and implement computational tools to support gene editing and other research activities to facilitate data interpretation and sharing.
  • Collaborate with software and cloud engineers to build production-scale pipelines.
  • Communicate scientifically rigorous findings via verbal and written communications, visualizations, and presentations.


  • A Ph.D. or MS in Bioinformatics, Computational Biology, Computer Science, Statistics, or equivalent field.
  • Industry experience is preferred.
  • Strong scientific background, including an understanding of molecular biology and genomics.
  • Publication record in computational biology.
  • Knowledge of relevant programming languages, such as Python, R, and/or Java.
  • Familiarity with common bioinformatics tools for NGS data analysis and working with “omics” datasets.
  • Experience with AWS or similar cloud computing platform.
  • Ability to work independently while also building relationships with colleagues.


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