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San Francisco Metro Area, California

Post Date: 03/24/2017 Job ID: JN -032017-18676
Responsibilities will include, but are not limited to, the following:
Adapt open source tools and/or develop visualization methods to enable bench scientists to query, display and interpret NGS data types. These include RNA-expression from single-cells and bulk tissues, variant data from exome sequencing, copy-number data from whole genome sequencing, and epigenetic data.
Facilitate data sharing/management from internal and open-source based databases.

Skills/Knowledge Required:
Proficiency in shell scripting, R/Shiny, and Python. JavaScript or Java considered a plus.
Comfortable working in Linux and Docker environments.
General knowledge of NGS technologies, sequence analysis tools and public visualization resources.
Experience with Amazon EC2 cloud resources; e.g. S3, EC2, Lambda and others.
Highly self-motivated and enjoy working as part of a multi-disciplinary team
Outstanding oral and written communication skills

Functional/Scientific/Technical Skills:
Able to critically structure data.
Possess in-depth knowledge in some area of data visualization
Understands fundamental scientific problems and can apply knowledge to research and development projects and problems in a positive manner.
Contributes individually as well as on cross functional teams.
Responsible for more complex assignments and for more than one project.

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