Bioinformatician

About Us

Our goal is to bring the widest benefits to society through enabling the analysis of anything, by anyone, anywhere.

Oxford Nanopore Technologies

Location:

Oxford, UK

Role Type:
Full time, hybrid

Our 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 for faster, information rich, accessible and affordable molecular analysis. The first application is DNA/RNA sequencing, and the technology is in development for the analysis of other types of molecules including proteins.

The technology is used to understand and characterise the biology of humans and diseases such as cancer, plants, animals, bacteria, viruses, and whole environments.

With a thriving culture of ambition and strong innovation goals, Oxford Nanopore is a UK headquartered company with global operations and customers in more than 125 countries.

We are looking for an individual with expertise in bioinformatics, with particular experience of working with human sequencing data, to join our Applications team as an Applications Bioinformatician.

The Proof of Concept Clinical Applications team works within R&D to evaluate the feasibility of novel applications of Oxford Nanopore sequencing examining human disease, with a particular focus on rare disease.

As a member of the Proof of Concept Clinical Applications team, the successful candidate will primarily interpret sequencing data generated by lab scientists within the team, in a range of biological contexts aiming to showcase the abilities of the technology and develop proof of concept workflows to fill market niches. You should also be prepared to work with others across the wider Applications group to share expertise and collaborate where appropriate and to communicate your findings to internal stakeholders through presentations, reports and discussions in meetings.

As this role is within a multi-disciplinary team, the position is offered as hybrid, with an expectation of being in the Oxford office at least two days a week.

• Initial investigations of sequencing data to identify the potential of an experimental design.
• Performing evaluation of appropriate bioinformatics tools for a given application, and carrying out defined custom analysis where needed.
• Independently deliver assigned analysis tasks while escalating priorities, design decisions and blockers.
• Support evaluation and development of defined proof-of-concept analyses; seek guidance on analysis design, interpretation and roadblocks.
• Developing initial proof-of-concept pipelines for analysis of DNA, cDNA and direct RNA sequencing data using ONT's nanopore sensing platform, with regular guidance from a senior bioinformatician/manager, including task prioritization and mentoring.
• Working collaboratively with laboratory-based scientists in the group to contribute suggestions on experimental design, to interpret the data generated in the appropriate biological context, and to report the results clearly.
• Working with the team to make analysis and figure contributions to conference talks and posters.
• Working closely with other applications groups in different locations to keep up-to-date with the latest developments, provide feedback and incorporate them into analyses where appropriate.

To be successful you'll have an MSc or equivalent experience, involving analysis and visualization of DNA and RNA sequence data, plus an undergraduate degree in a Biological Science or Computer Science. Additionally, having a PhD or job experience in a relevant field would be beneficial.

We'll expect you to have a track record of successfully performing appropriate bioinformatics sequence analyses for at least a couple of research projects and awareness of the whole experimental process, from the initial experimental concept to biologically meaningful results. In addition, you'll have some practical experience of handling and analysing large human datasets, ideally in a clinical research setting. An awareness of the concepts of assembly, phasing and variant calling, and how to perform them would be beneficial.

You would be working closely with lab scientists to continually refine the experimental and analytical approaches. Therefore, the role is a mixture of collaboration for project design and independent analysis, though the bioinformatics will be supported as appropriate. An important part of the role is also keeping up to date with advances in genetics and genomics.

• Programming experience (python, R)
• Graphical visualisation experience
• Experience of using a terminal interface, HPC and scheduling
• Familiarity with common bioinformatics file formats
• Experience with common bioinformatic tools (e.g. samtools, bedtools, IGV)
• Package management (conda)
• Version control (git, Github/Gitlab)