Bioinformatics Software Developer

at  Oxford Nanopore Technologies

Oxford Nanopore Technologies is headquartered at the Oxford Science Park outside Oxford, UK, with satellite offices and 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 (for rapid insights), 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 offer real-time nanopore-based DNA/RNA sequencing technology: accessible, easy to use and fully scalable for any requirement.

THE ROLE…

The Customer Analysis Workflows group at Oxford Nanopore Technologies’ is responsible for communicating bioinformatic analyses to end users through various media from software libraries, notebook tutorials, through to fully automated analyses on the EPI2ME platform!

Reporting to the Associate Director Bioinformatics Software Development, the successful candidate will be driven to provide scientific analysis, software friendly to a range of user abilities. You will be responsible for developing and maintaining new bioinformatic analyses to be coupled with particular experiment scenarios, targeting particular scientific and clinical questions. You will work with our team to build workflows that can be utilised across modes of presentation from standalone libraries and command line tools, to coordinated graphical solutions. Key responsibilities will be to:

• take ownership of newly identified workflows and collaborate within the group to resolve how best to present these;
• collaborate closely with our teams within the various R&D groups at ONT to identify analysis workflows potentially useful to customers;
• adapt standard bioinformatic tools to long-read nanopore sequencing;
• identify areas for tool development, and work with Algorithm Research colleagues to explore options;define and promote best-practices for ONT
• ‘s open-source analysis software;
• maintain abreast of external advances in the field of long-read data analysis and the requirements of end-users as determined by various customer facing teams