Data Engineer

3 weeks ago

Oxford, Oxfordshire, United Kingdom EIT Pathogena Full time

About EIT Pathogena

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.

Our Mission

The EIT Pathogena's Mission aims to revolutionise the diagnosis and treatment of infectious diseases by developing Whole Genome Sequencing-based metagenomic and individual pathogen clinical tools with the ultimate aim of developing an 'always-on global pathogen metagenomics system with the ability to identify Pathogen X and provide early warning of disease epidemics.'

Built by a long-established world-leading pathogen genomics team from the University of Oxford, supported by the cloud computing scale and security of Oracle Inc, the Pathogen Mission is designing a global, turn-key solution that systematises how data from genomic sequencing is processed. It aims to develop pipelines to analyse a broad range of pathogens and deliver solutions to laboratories, hospitals, and public health organisations around the globe.

The Role

We are seeking a highly skilled Data Engineer to join our team and contribute to the development of a platform for genomic analysis. As a Data Engineer, you will be responsible for building and deploying scalable data pipelines and infrastructure to support our mission. You will work closely with other members of the Pathogena team, as well as Research Software Engineers from Oxford University, to ensure the pipelines supporting our mission can scale as required.

Responsibilities

  • 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

Requirements

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:

  • Experience of working with scientific data (in particular genomic data)
  • 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

Benefits

We offer a competitive salary reviewed annually based on performance and market rates, bonus scheme participation, travel allowance, enhanced sick pay and maternity/paternity after qualifying service, access to Employee Assistance Programme and also Online and Virtual Therapy services, Employer funded Private Medical Insurance and Hospital Cash Plan, access to Perk Box for high street and online savings as well as other discounts and benefits, Pension salary sacrifice scheme, minimum 5% employee and 7.5% from employer, Group life cover 4 times annual base salary, Group income protection plan, and 25 days holiday plus public holiday, plus workplace closure between Christmas and New Year, and the option to purchase up to five additional days.

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