![Global Pathogen Analysis Service Ltd](https://media.trabajo.org/img/noimg.jpg)
Data Engineer
1 month ago
About GPAS:
Global Pathogen Analysis Service Ltd (GPAS Ltd) 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, and generously funded by Larry Ellison, GPAS is a global, turn-key solution that systematises how data from genomic sequencing is processed.
GPAS Ltd is delighted to be joining the Ellison Institute of Technology, Oxford, as part of the Health and Medical Science Humane Endeavour. This partnership will ensure that we can reach our goal of developing pipelines to analyse a broader range of pathogens and deliver solutions to laboratories, hospitals, and public health organisations around the globe.
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 GPAS 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
Requirements
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
Nice to haves:
• Experience of working with scientific data (in particular genomic data)
• Interest in message queues and/or event streaming
• Experience on Oracle Cloud Infrastructure
Benefits
What we can offer:
We’re a close knit, collaborative small team. We are building a team with a people-first culture. Joining GPAS is an opportunity to help shape innovative technology with the capability to dramatically improve clinical diagnostics and treatment.
• 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.
GPAS Ltd is committed to promoting equal opportunities in employment, and actively encourages applications from under-represented groups in society. We are open to applications for part-time and flexible working arrangements.
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