|Salary:||£2,676.73 to £2,994.54 monthly starting salary after tax (Grade 5-6).|
|Placed On:||15th July 2019|
|Closes:||26th August 2019|
About the team/job
The Archival Infrastructure and Technology (AIT) team is looking for an enthusiastic, highly motivated bioinformatician to join the Human Cell Atlas (HCA) project to help us integrate data generated by labs all over the world using cutting-edge single cell techniques
The HCA is using celluar resolution data as the basis for both understanding human health and understanding different disease mechanisms. So if you are interested in the Human Cell Atlas, or if you’d like to help us work towards developing comprehensive reference maps of all human cells, this job will be perfect for you! With the help of our collaborators, we are collecting data and building process to make data Findable, Accessible, Interoperable and Reproducible (FAIR), as part of the Data Coordination Platform (HCA-DCP) for the HCA community.
As a member of our team, you will have the chance to engage with our collaborators from the Broad Institute, the Chan Zuckerberg Institute, the University of California Santa ruz and Stanford University.
This position is a fantastic opportunity to gain hands-on experience, working on a high-profile project with major scientific impact in a world-leading bioinformatics institute.
We are looking for a bioinformatician with experience in handling biological data and biological requirements. You should have a biological background but you should also be able to find your way around a terminal. Experience with managing large scale biological data or using JSON schema to describe biological data would be desirable. Previous experience of working in a bioinformatics-focused environment would be beneficial.
You'll be helping us to describe all data collected from HCA scientists using well-structured, FAIR metadata that takes advantage of many pre-existing ontologies. This approach provides rich and consistent information so users can query the Atlas using many facets of a sample’s identity, such as tissue source and donor age, as well as project and experimental details. You will work directly with data contributors to ensure their data is well described and reusable by the scientific community.
We follow agile techniques in our approach to development, so if you’re the sort of person who likes to work in sprints, has worked with tools like Jira or Zenhub in the past to prioritise user requirements, then you’ll be a good fit for our team. All of our software and metadata schemas built and published using continuous integration and version control, so familiarity with GitHub is an advantage and you should be confident in making your outputs public for others to use.
You’ll be working within the AIT team at EBI alongside developers, and bioinformaticians. As well as our external collaborators, you can expect to interact with other groups at EMBL-EBI in order to improve contribution of data to the HCA-DCP.
EMBL-EBI is committed to achieving gender balance and strongly encourages applications from women, who are currently under-represented at all levels. Appointment will be based on merit alone.
This position is limited to the project duration specified.
Applications will close at 23:00 GMT on the date listed above.
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