Bioinformatics Software Developer

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 Nanopores 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!

Were currently looking for a Bioinformatics Workflow Developer to join our Customer Analysis Workflows team at Oxford Nanopore Technologies who are 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.

The Details...

Reporting to the Director of Clinical Bioinformatics Software 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 include:

• 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 ONTs 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.

What Were Looking For...

You will hold at least a MSc (or equivalent experience) involving a meaningful amount of programming in a high-level language. A PhD or proven experience requiring understanding of DNA/RNA sequencing analysis is desirable.

We would also like you to have:

• Experience in software development on Debian-based linuxes.
• Expertise in bioinformatics workflows and knowledge of workflow management software (particularly Nextflow) and practical experience of handling sequencing data with exposure to common software (samtools bcftools).
• Familiarity with long-read sequencing.
• Strong Python programming skills (development testing packaging).
• Experience within a regulated environment would be highly desirable (ISO 13485 or IEC62304 / GAMP5 or GMP)
• Familiarity with continuous integration and deployment and a willingness to adapt listen and learn new skills.

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 persons 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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