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 Qualifications: 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
