Data Engineer
4 weeks ago
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 Pathogena is a new interdisciplinary research and development facility that bridges The Oxford Science Park and Littlemore. Our mission is 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.'
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
• 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
Terms of Appointment:
• Eligible to work in the UK with a willingness to travel as necessary.
• Based in, or within easy commuting distance of, Oxford.
• During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.
Salary Package Includes:
• 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
• Holiday is 25 days a year plus public holiday. In addition, workplace closure between Christmas and New Year. Employees can also purchase up to five additional days.
Location
Oxford, UK/remote blend. office based on Oxford Science Park with some remote working
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