The Open Targets team at our 5 year anniversary celebration in June 2019

Join our team!

Open Targets is based on the stunning Wellcome Genome Campus, home to some of the world's foremost institutes and organisations in genomics and computational biology. We work in dynamic teams at the interface of academic and pharma industry science on a crucial problem, how to be more successful in making drugs. Working with us, you will be exposed to new technologies and a dynamic set of scientists dedicated to translational research.

Our posts are usually in either one of our academic partners, The Wellcome Sanger Institute or EMBL-EBI and have terms and conditions associated with the employer.

Important note: applications may be reviewed on an ongoing basis and the advertised post(s) may be filled before the stated deadline.

Web Developer

Application closing date: 20 October 2023

We are looking for a Web Developer to join Open Targets at EMBL-EBI. As a key member of the Open Targets core team, you will design and build cloud-first software tailored for the interface between large-scale biomedical data and drug discovery.

In collaboration with the other Open Targets partners (BMS, Genentech, GSK, Pfizer, Sanofi, and the Wellcome Sanger Institute), you will work on developing and maintaining our two flagship open-source applications — the Open Targets Platform and Open Targets Genetics. Together, these two resources integrate, organise, and present vast amounts of biomedical data to help research scientists identify and prioritise potential therapeutic drug targets.

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Single Cell Computational Biologist

Application closing date: 3 November 2023

We are looking for a computational analyst/biologist with strong background in single cell genomics to join the Open Targets team. We are seeking an enthusiastic team member to expand our informatics platforms through integration of single cell omics data to enhance drug discovery. In this Single Cell Computational Biologist role you will actively develop pipelines that integrate our growing experimental single-cell data (including RNA expression, protein expression, single-cell eQTLs) with public domain data.

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