ML Researcher (Metabolite Analysis)   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.   Job Description 
  About Us... 
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. 
We are looking for a highly motivated individual to join the Machine Learning team as a Research Scientist. This role will involve collaborating with groups across the company to apply cutting-edge machine learning techniques to a range of high-impact scientific and engineering challenges. Examples of projects you might work on include analysing data from new sequencing systems for RNA, DNA or peptides, crafting nanopore-tailored bioinformatics tools, or leveraging machine learning to tailor biomolecules for nanopore sensing applications.   Responsibilities include: 
• Using knowledge of machine learning to solve complex problems in nanopore sensing, biomolecule design and modelling 
• Collaborating with a variety of scientific and engineering partners 
• Developing robust tools and deploying to external users 
• Communicating results to technical and non-technical audiences to maximise the impact of research 
• Working independently and as part of the team   What We're Looking For... 
• A PhD (or equivalent practical experience) in Computational Biology, Computer Science, Bioinformatics, or a related subject area. 
• Experience in biomolecular modelling, structure prediction, small molecule docking and design   Ways to stand out: 
• Knowledge of state-of-the-art machine learning techniques and the ability to keep on top of research developments in the field. 
• Strong software engineering skills and experience prototyping algorithms 
• Strong organisational skills and attention to detail 
• Ability to explain complex ideas to technical and non-technical audiences 
• Nice to have: 
     - A publication track record, or contribution to open-source tools in the field of biomolecular modelling 
     - Experience in pre-training, fine-tuning and benchmarking large-scale machine-learning models 
     - Familiarity with structural biology tools and databases   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.     #LI-JC1

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.