Senior Python Cloud Developer
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Job Description
Oxford Nanopore Technologies is headquartered at the Oxford Science Park outside Oxford, UK, with satellite offices and a commercial presence in many global locations across the US, APAC and Europe.
Oxford Nanopore employs from multiple subject areas including nanopore science, molecular biology and applications, informatics, engineering, electronics, manufacturing and commercialisation. The management team, led by CEO Dr Gordon Sanghera, has a track record of delivering disruptive technologies to the market.
Oxford Nanopore's sequencing platform is the only technology that offers real-time analysis, in fully scalable formats from pocket to population scale, that can analyse native DNA or RNA and sequence any length of fragment to achieve short to ultra-long read lengths. Our goal is to enable the analysis of any living thing, by anyone, anywhere!
We are looking for a highly motivated individual to join the Customer Workflows as a Senior Python Cloud Developer. This exciting and challenging role is responsible for developing a globally available cloud-based data-analysis application for large and small external customers.
The Details...
Reporting to the Associate Director of Web Development, the successful candidate will extend and improve our data analysis platform to enable the scaling and delivery of the EPI2ME cloud bioinformatics platform
If successful, you'll be working in a team of developers, bioinformatics scientists, and operations engineers to provide data analysis systems including data management, analysis pipelines, telemetry processing and administrative dashboards. You'll use agile methods to develop new features and build resilient systems in the cloud and on sequencing devices. In addition, you'll maintain and develop systems that manage 100s of Terabytes of raw sequencing data and data analysis results from sequencing experiments.
What We're Looking For...
We'll expect you to have a strong work ethic, positive attitude and good attention to detail. You'll also have good communication skills to enable you to engage with stakeholders as well as developers.
You'll hold a degree in a numerate discipline and have proven experience of developing Python web applications and maintaining them in an operational cloud environment. You must have experience using one or more of the frameworks FastAPI, Django, Flask, or Tornado as well as knowledge of using database backends in web applications.
Some experience with AWS is essential; such as DynamoDB, Batch, ECS, and Fargate. In addition, some experience of developing software in a scientific environment, particularly bioinformatics, would be an advantage. Experience with continuous integration and deployment systems (notably Gitlab and AWS CodeDeploy) would be extremely advantageous.
We offer outstanding benefits to include an attractive bonus, generous pension contributions, private healthcare and an excellent starting salary. Based within beautiful, landscaped surroundings with tree-lined walks, water features and a lake, all of which make for a wonderful working environment.
If you are looking to utilise your skills to really make a difference to humankind, then consider joining our team and apply today!
Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the job.
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About Us
Oxford Nanopore's goal is to bring the widest benefits to society through enabling the analysis of anything, by anyone, anywhere. The company has developed a new generation of nanopore-based sensing technology enabling the real-time, high-performance, accessible and scalable analysis of DNA and RNA. The technology is used in more than 100 countries to understand the biology of humans and diseases, plants, animals, bacteria, viruses and whole environments.
Oxford Nanopore was founded in 2005 as a spin-out from the University of Oxford and now employs over 1000 employees around the world.