Data Engineer

at  EIT Pathogena

ABOUT ELLISON INSTITUTE OF TECHNOLOGY (EIT)

The Ellison Institute of Technology (EIT) works to develop and deploy advanced technology in pursuit of solving some of humanity’s most challenging and enduring problems. Guided by world-leading scientists and entrepreneurs, EIT seeks to accelerate innovation by driving scientific and technological advancements across four humane endeavours: health and medical science, food security and sustainable agriculture, climate change and clean energy, and government innovation and the era of artificial intelligence.
EIT Oxford is a new interdisciplinary research and development facility that bridges The Oxford Science Park and Littlemore. Set for completion in 2027, the state-of-the-art facility will have 30,000m² of research laboratories, an oncology and preventative care clinic, plus educational and meeting spaces. The new facility will further EIT’s current partnership with the University of Oxford and become the new home for Ellison Scholars.
Please visit eit.org for more details.
At the Ellison Institute, we believe that an inclusive, collaborative team atmosphere is just as important to our mission as our scientific aims and methods. We strive to build a supportive environment where everyone feels confident taking creative risks toward innovation. We value emotional intelligence and communicating with empathy and respect for others. We foster a team that is curious, has a deep sense of commitment, responsibility, and the resilience needed to achieve excellence.

PERSON SPECIFICATION:

We are looking for a motivated and proactive engineer who welcomes a challenge and the opportunity to learn new technology. You will be someone who can work collaboratively, and who acts with honesty, integrity, and good judgement. Overall, passionate about using technology to improve global health. Whilst specific qualifications are not required, skills and experience should include:

• Developing data pipelines and deploying into a cloud environment
• Performance tuning of platforms and pipelines
• Caring about building a healthy engineering culture
• Workflow tools (such as Nextflow, Argo, Prefect etc)
• Python development
• Terraform, Docker & Kubernetes

THE ROLE:

The Data Engineer will be responsible for building and deploying a platform for genomic analysis. Reporting to the Head of Data Engineering, you will work closely with other members of the Pathogena team, as well as Research Software Engineers from Oxford University. Together you will build data pipelines and infrastructure to ensure the pipelines supporting our mission can scale as required. These solutions are fundamental to our mission to track and identify pathogens.

RESPONSIBILITIES INCLUDE:

• Implementing scalable pathogen data analysis pipelines
• Contributing to architectural discussions
• Improving quality and scalability of processes
• Helping to maintain the cloud deployment of the platform
• Contributing to selecting the best technology for the future platform