Deep Learning Research Scientist

Part Remote

Deep Learning Research Scientist - CNNs, VAEs, Cloud, medical software

Oxford (temporarily remote)

£50-70k pending experience

Our client is a supremely well positioned MedTech company enabling physicians to make fast, accurate decisions through innovative cloud-based AI solutions. 

As a Deep Learning Research Scientist (there are openings at both mid AND senior level) you will lead efforts in developing novel AI-based architectures towards the end goal of solving and building tools for automated analysis of medical images. You will work within the technical development team to create solutions to meet new and current product requirements using deep learning, computer vision, mathematical, statistical and machine learning methods. You will draw on your expertise of deep learning, mathematical research and algorithmic development to keep the company at the forefront of ground-breaking research.

Key Responsibilities:

  • Independently work to solve research problems
  • Developing new algorithms and computational tools to solve research problems
  • Ensure you keep up to date with the latest advances in deep learning and medical imaging, and utilise these new techniques in your research
  • Develop tools to be used in assisting with R&D workflow
  • Review research code created by other team members
  • Work with Head of Technical Development to identify future research directions
  • Work with development team to assist deployment of research code into production
  • Mentoring junior team members within research team, continuously developing your own technical skills and helping others to improve theirs
  • Reviewing documents, designs, and colleagues’ code and providing constructive feedback
  • Write up research papers for the purposes of publication, and abstracts to present at international conferences
  • Discussing potential future research opportunities/collaborations with key stakeholders

Likely Background:

  • Doctorate in Machine Learning, Image analysis, AI, computer science or other mathematical/scientific background
  • Background in medical imaging
  • Strong proficiency with scientific programming languages such as Python, MATLAB, Julia, etc
  • Experience with Git or other collaborative version control tools
  • Ability to manage and process large datasets
  • Strong presentation, writing and communication skills including a clear publication record in both scientific journals and international conferences
  • Good organisational and project management skills
  • Analytical skills – able to structure and process qualitative or quantitative data and draw insightful conclusions from it
  • Experience with lower level languages such as C++, Java
  • Experience with SQL or other database language

Specific Knowledge:

  • Extensive knowledge of deep learning techniques including CNNs, VAEs and unsupervised learning methods
  • Experience creating deep learning methods for image and video segmentation
  • Knowledge of mathematical methods, mathematical optimisation, statistical methods
  • Knowledge of image processing and computer vision techniques

Desirable Knowledge:

  • Deep learning methods particularly applied to medical imaging and/or video data
  • Experience manipulating and applying probabilistic neural networks
  • Experience with processing medical images and DICOM

Required Experience:

  • 3+ years of industrial or postdoctoral experience in applying deep learning to different problems
  • Experience managing large projects and driving them to a full solution
  • 2+ years of direct software development experience including design and deployment of medical software
  • Experience using cloud platforms such as Google Colab, Microsoft Azure or Amazon AWS

Generous company benefits include:

  • Flexible working hours
  • One day working from home per week
  • Bonus scheme
  • Share option scheme
  • Private medical insurance
  • Life assurance

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