Machine Learning Bioinformatician

1 week ago


Oxford, Oxfordshire, United Kingdom Oxford Nanopore Technologies Full time

The Machine Learning Operations group at Oxford Nanopore Technologies is responsible for the engineering which enables training of ML models and their deployment in production.


The Details...

  • Contributing to bioinformatics pipelines to enable the analysis of machine learning models produced by the ML group.
  • Using their bioinformatics knowledge to help ML engineers understand and interpret the biological relevance of their models and use relevant bioinformatics metrics to analyse their ML models.
  • Keeping up to date with latest development in bioinformatics
  • Optimising the performance of bioinformatics pipelines used in production.
  • Mentoring junior employees and communicating their knowledge of bioinformatics to the wider ML group.

What We're Looking For...
You will hold at least a MSc (or equivalent experience) in Bioinformatics, Biology, Mathematics, Physics or a related discipline. You will have extensive experience with working with bioinformatics tools.

Ways to stand out:

  • Track record of publications in Bioinformatics and/or machine learning.
  • Experience with workflow systems such as Snakemake, CWL and Nextflow
  • Experience with modern C++, Python and related programming languages.
  • Contributions to open source projects.
  • Familiarity with Natural Language Processing or time series 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.


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