Senior Machine Learning Researcher
Very Competitive and Great Benefits
Machine Learning Researcher: Remote-First.
A biotechnology and health Tech pioneer, they use proprietary clinical AI technology to understand patient data in a way that leads to the detection, prevention and cure of serious illnesses. Harnessing this unique approach, they are able to pioneer new approaches to drug discovery and clinical trials.
Owing to continued ambition and expansion, they are actively seeking an ML Researcher.
This role will appeal to people who are interested in using her / his skills in an exciting field which produces results which genuinely help people.
So, what will you be doing?
+ Implementing Medical Image Analysis and Machine Learning solutions to provide accurate, timely, and actionable intelligence to support business decision-making within life sciences
+ Support and guide other researchers in learning about, applying and delivering product features driven by machine learning (ML) techniques.
+ Help develop robust model training and data infrastructure to support ML approaches for medical imaging and other data sources
+ Assist in steering the research direction of the company in the field of medical imaging and machine learning.
+ Publish research results in national and international conferences and scientific journals.
+ PhD in a discipline such as Mathematics, Computer Science, Physics, Data Science, Machine Learning, Biomedical Engineering.
+ Proven delivery of successful ML tooling for projects or commercial applications
+ Thorough hands-on experience using machine learning techniques for computer vision or medical imaging applications
+ Strong academic and research track record demonstrated through publication of papers in top scientific conferences and/or journals.
+ Excellent coding skills in Python (C++ is a plus)
+ Hands-on experience using one of the following deep learning libraries: TensorFlow, PyTorch, or similar.
+ Industry experience in translating these approaches into a commercial/industry setting is a plus.
+ Experience working with the DICOM standard is a plus
+ Latest cutting-edge equipment
+ Continuous training
+ Company share option schemes
+ Generous pension contributions
+ Health insurance (including partners and children)
+ Free gym membership
+ Generous holidays
+ A challenging, fun, rewarding environment to work in and contributing to causes that ultimately make a real difference to the world.
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