We are looking for a software developer to join the Archive Infrastructure and Technology team (AIT). You will help deliver software infrastructure that can support sharing the vast and diverse data collection efforts for the Human Cell Atlas project.
The HCA is a cutting-edge initiative using recent technological advances that allows us to measure and observe individual human cells at scale. Labs all over the world are collecting vast volumes of data that will help us to understand health and disease better. As part of this team, you will support the HCA community sharing this data and increasing our understanding of human biology.
You will be building services that make single-cell data Findable, Accessible, Interoperable and Reproducible (FAIR), as part of the Data Coordination Platform (HCA-DCP) for the HCA community. We deliver services that biologists and bioinformaticians in labs all over the world use to submit datasets to the DCP, uploading terabytes of data at a time. This is big data, but the hardest challenge we face is variability, not volume, as we support submitters to accurately describe their experiments using our tools. As part of our team, you will have the chance to engage with our collaborators from the Broad Institute and the University of California Santa Cruz. Your roleYou will have technical aptitude and the ability to pick up new skills quickly. You should be adaptable, enthusiastic and value-focused, as these are traits we look for in all our team members. Existing experience with the technologies we use is useful, but a willingness to learn and versatility in approach is key.
We follow agile principles in our approach to development and operations, focusing on our user needs when prioritizing work to be done. You will be part of a cross-functional team where software developers and bioinformaticians work together to understand the needs of the HCA scientists and deliver and run services to meet those needs.
As part of your day to day job, you can expect to interact with other groups at EMBL-EBI as well as our external collaborators to improve the submission of data to the HCA-DCP. All of our software is built and published using continuous integration/deployment and version control, and you should be confident in making your code open source.
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.