Research Assistant / Associate in scRNA-seq
University of Cambridge
United Kingdom

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 - To provide access to scRNA-seq data on FlyBase - To 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.

Candidates should have a science degree; a PhD is required for appointment at Research Associate level. You should also have some post-graduate research experience using Drosophila. Other desirable skills are experience of working with scRNA-seq data and/or other genomic data, working with databases and ontologies and using scripting languages (eg. Python).

Fixed-term: The funds for this post are available until 30 November 2024 in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Informal enquiries to Prof. Nick Brown (nb117@cam.ac.uk) or Dr Gillian Millburn (gm119@cam.ac.uk)

Please quote reference PM24272 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.


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