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== 'Drosophila Neuroanatomy Biocurator' ==
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'''scRNA-seq Biocurator/Ontologist (Cambridge, UK)'''
We are seeking to recruit a new member to our team at the University of Cambridge that contributes to two Drosophila databases: Virtual Fly Brain (VFB; http://virtualflybrain.org) and FlyBase (http://flybase.org/).
 
Virtual Fly Brain is a resource that helps Drosophila neuroscientists map and visualize neuronal circuits, and find the experimental reagents to manipulate the circuits to reveal their role in perception, learning, memory and complex behaviours. The successful applicant will aid this process in three ways: 1) by annotating the expression of Gal4 drivers within the adult brain, using data from large scale datasets and the primary research literature; 2) assisting in the integration of data from single-cell RNA sequencing datasets; and 3) leading the effort to assess the functionality of improvements to the website, by recruiting members of the local neuroscience community and working with them and other VFB members to perform usability testing of the website. Much of the curated data will also be integrated into FlyBase, the primary community resource for Drosophila genetic, genomic and functional data. You will interact day to day with the rest of the expert scientist-curators in the Virtual Fly Brain and FlyBase team, housed in the Department of Physiology, Development and Neuroscience, and VFB colleagues in the Cambridge area and Edinburgh. Members of VFB and FlyBase will provide appropriate training.
 
  
More details and a link to the application form can be found here:
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We are seeking to recruit a new member to our team at the University of Cambridge to contribute to the FlyBase Drosophila database (https://flybase.org). If you are looking for a fulfilling, fly-related career away from the bench, and enjoy the challenge of organizing complex data and presenting it clearly and concisely, then this is the job for you!
http://www.jobs.cam.ac.uk/job/21376/
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A large and growing community of Drosophila biologists is producing single cell transcriptomic data with potentially high value to the research community. This includes both individual labs and also large-scale community efforts focussed on sharing and annotating single cell RNA sequencing (scRNA-seq) datasets covering the whole fly, such as Fly Cell Atlas (https://flycellatlas.org/). The successful applicant will work closely with the Gene Expression Team (https://www.ebi.ac.uk/about/people/irene-papatheodorou) at EMBL-EBI, in particular those members responsible for the Single Cell Expression Atlas (scAtlas) (https://www.ebi.ac.uk/gxa/sc/home), in order to maximise the usefulness of the scRNA-seq data to the community.
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The work will include:
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- Identifying and prioritising published Drosophila scRNA-seq datasets for curation
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- Curation of scRNA-seq experimental metadata into the EMBL-EBI scAtlas and/or FlyBase as appropriate
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- Working with biocurators and software developers at FlyBase and the EMBL-EBI scAtlas to: harmonise the scRNA-seq data models used at each database, provide access to scRNA-seq data on FlyBase, add links between FlyBase and the scAtlas
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- Extending the Drosophila Anatomy Ontology as needed to provide accurate terms for annotation of scRNA-seq data
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- Working with EMBL-EBI Gene Expression Team members to help develop interactive fly anatomograms.
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Closing date: 4th November 2020
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More details and how to apply info: http://www.jobs.cam.ac.uk/job/27175/

Revision as of 19:43, 29 October 2020

scRNA-seq Biocurator/Ontologist (Cambridge, UK)

We are seeking to recruit a new member to our team at the University of Cambridge to contribute to the FlyBase Drosophila database (https://flybase.org). If you are looking for a fulfilling, fly-related career away from the bench, and enjoy the challenge of organizing complex data and presenting it clearly and concisely, then this is the job for you!

A large and growing community of Drosophila biologists is producing single cell transcriptomic data with potentially high value to the research community. This includes both individual labs and also large-scale community efforts focussed on sharing and annotating single cell RNA sequencing (scRNA-seq) datasets covering the whole fly, such as Fly Cell Atlas (https://flycellatlas.org/). The successful applicant will work closely with the Gene Expression Team (https://www.ebi.ac.uk/about/people/irene-papatheodorou) at EMBL-EBI, in particular those members responsible for the Single Cell Expression Atlas (scAtlas) (https://www.ebi.ac.uk/gxa/sc/home), in order to maximise the usefulness of the scRNA-seq data to the community.

The work will include:

- Identifying and prioritising published Drosophila scRNA-seq datasets for curation

- Curation of scRNA-seq experimental metadata into the EMBL-EBI scAtlas and/or FlyBase as appropriate

- Working with biocurators and software developers at FlyBase and the EMBL-EBI scAtlas to: harmonise the scRNA-seq data models used at each database, provide access to scRNA-seq data on FlyBase, add links between FlyBase and the scAtlas

- Extending the Drosophila Anatomy Ontology as needed to provide accurate terms for annotation of scRNA-seq data

- Working with EMBL-EBI Gene Expression Team members to help develop interactive fly anatomograms.


Closing date: 4th November 2020

More details and how to apply info: http://www.jobs.cam.ac.uk/job/27175/