We are looking for a Bioinformatician to work as part of the UK Genomic Applications team which is responsible for showcasing the strengths of our technology by applying it to real-world biological questions.
The successful candidate will work with others in the Genomic Applications group to interpret sequencing data in a range of biological contexts to answer biological questions and to give best-practice advice to customers and our support teams. The role will involve benchmarking, evaluating and comparing different existing analysis methods to understand the effect these approaches have on the final interpretation of the data. Where there are no established methods yet, the job holder will work with other members of the team to explore how best to answer the biological questions posed. You'll collaborate closely with lab scientists to help with experimental design, to make sure they receive the right data, prepared in the right way and to a sufficiently high standard to perform specific analyses. The job holder will communicate their findings to internal stakeholders and present the group’s work in meetings and webinars.
Other responsibilities include:
- Working on the development of pipelines for analysis of applications of DNA and direct RNA sequencing using ONT’s nanopore sensing platform. This will cover the full range of existing and new applications
- Working with laboratory-based Applications scientists in the group to help them plan and refine experiments, to interpret the data generated in the appropriate biological context, and to report the results clearly
- Interacting with other data analysts and bioinformaticians in the company, to utilise and adapt their tools for analysis, and to work with Metrichor software developers to transfer methods and analyses to Epi2me
- Working closely with groups in San Francisco and New York to keep up-to-date with the latest developments and to implement these in Oxford
- Working as part of a multi-disciplinary team on the whole experimental cycle from sample collection through to high-quality publication or other presentation
What We're Looking For...
We'll expect you to have practical experience of handling and analysing large data sets and working closely with lab scientists to continually refine the experimental and analytical approaches. You'll also have a history of involvement in the whole experimental process, from the initial experimental concept to execution, analysis and presentation results, addressing important biological questions. You also have knowledge and experience in bioinformatics and statistics and ideally an understanding of the range and limitations of existing bioinformatics tools.
You're also someone with good communication and interpersonal skills with an enthusiasm for technology. You enjoy discussing and presenting data within the team and with other colleagues. In addition, you can solve problems collaboratively and independently and consider yourself someone with high standards but who is able to prioritise and shift focus onto other projects when required. In addition, you have significant experience with scripting languages, e.g. Perl/Python, R etc. You'll have a BSc in a Biological Science or Computer Science with a substantial bioinformatics component (or equivalent experience) and ideally an MSc (or equivalent experience) involving analysis and visualisation of DNA and RNA sequence data.
Additional skills, experience and knowledge in the following areas are also desirable:
- Experience with NGS data analysis - preferably long reads
- Hands-on wet lab experience or a track record of interaction with wet lab scientists
- Experience of successfully performing appropriate bioinformatics sequence analyses for a range of different projects
- Experience with software development practices, e.g. version control/software testing
- Large general biological knowledge such as molecular biology including the transcriptome, microbiomes, environmental ecosystems, diseases, pathogens etc.
- Experience with nanopore sensing and associated software
- Experience with simple sample and library preparation for NGS
- Up to date with the latest literature about NGS and analysis
- Knowledge of commercial applications of genomics
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.