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.
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.
