Algorithms Researcher
Oxford Nanopore Technologies
Oxford, Oxfordshire, United Kingdom
6d ago

Job Description

We are looking for a highly motivated and innovative individual to join our Algorithms Research Group to create develop and methods for the detection of modifications in biological molecules. The Details...

Working within the Algorithms Research group and with laboratory scientists, you'll be creating novel techniques to detect modified bases in biological sequences using our proprietary single-molecule sensing platforms As well as contributing to new methology, the individual will help analyse the experimental systems underpinning this work and contribute to the software supporting it.

Responsibilities include :

  • Analysis of experiments supporting modified basetraining,feeding back to the practitioners and ensuring they have the analysis tools necessary to support their own work.
  • Assist in the development of methodology to detect known and unknown modified bases in biological molecules like DNA and RNA.
  • Creation of new techniques for the de novo discovery of modified bases from Nanopore signals and implementation in a new software.
  • Assist in support and maintenance for internal and external facing software projects implementing and supporting modified base methology.
  • Working both independently and as part of the team to achieve its aims
  • What We're Looking For...

    We'll expect you to have a Master's or PhD in a field involving a high level of numeracy, e.g. bioinformatics / computational biology, computer science, engineering, mathematics, physics, or have substantial equivalent experience.

    You'll have experience of working at the cutting edge of your field and demonstrated the ability to research, adapt and improve upon state-of-the-art techniques for processing signals from biophysical data or similar systems with structured noise.

    You will have a broad knowledge of statistical models and machine learning techniques, and strong programming skills (Python, R, etc.

    An interest in genomics and / or bioinformatics is desirable.

    In addition, you have the following experience and abilities :

  • Rapidly prototyping new algorithms, implementing methods directly from research papers
  • Producing software containing a substantial numerical component
  • Working in a time-critical environment with responsibility for reporting progress
  • Experience with machine learning frameworks, such as Caffe, Tensorflow, Theano, or PyTorch
  • Use of Linux / Unix environment + associated development toolchain
  • Good communication and interpersonal skills with the ability to explain complex ideas, both within the team and to interested non-specialists
  • Willingness to listen and adapt to the changing requirements of the department
  • 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.

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