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Echinobase Biocurator Position @ Carnegie Mellon University

Posted by , on 2 July 2019

Closing Date: 15 March 2021

EchinoBase is hiring a Biocurator to work within the laboratory of Charles Ettensohn in the Department of Biological Sciences at Carnegie Mellon University. EchinoBase is an online platform that houses genomic and transcriptomic resources of echinoderms.  The mission of EchinoBase is to serve as a central database for an international community of researchers interested in understanding echinoderm biology from a genomic perspective.  In this aim, EchinoBase maintains information on the organization, function and evolution of echinoderm genes. Two active research labs in the department use echinoderms as model systems.  This provides an excellent opportunity to interface first-hand with members of the community.  As an NIH-funded community resource, EchinoBase provides a supportive environment with many training opportunities available.

Core responsibilities include:

  • Curate existing and new literature on echinoderm biology and highlight this literature on Echinobase.
  • Evaluate primary literature for data on spatiotemporal gene expression patterns in echinoderms.
  • Annotate gene expression patterns using standardized anatomical and genetic vocabularies
  • Integrate published information on echinoderm genes into the existing database.
  • Interface with existing Echinobase database structure and software.
  • Communicate with journals and publishers for copyright permissions.
  • Build trusted relationships with an international community of echinoderm researchers, including providing feedback to researchers.
  • Generate and contribute content to Echinobase, including FAQ pages, tutorials and publications.

Qualifications:

  • Knowledge of echinoderm biology and development.  A Bachelor’s degree in life sciences is required, although a MSc or PhD is preferred.
  • Excellent verbal and written communication skills.
  • Familiarity with literature databases such as Pubmed and Google Scholar.
  • Ability to read and analyze scientific literature, including experimental details and data limitations.
  • Self-motivated, detail-oriented problem solver with the ability to prioritize work.
  • Computer skills, including word processing and spreadsheet applications.

 

More details and application instructions can be found here.

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