£45000 - £55000 per annum + Company Benefits
about 1 month ago
We are currently looking for a Machine Learning Researcher (Medical, Remote, Imaging) to join a pioneering Medical-Tech organisation based in Oxford. This opportunity has the option to be completely remote for the future from anywhere within the UK. This team is focused on furthering medical research through the application of Machine Learning frameworks to image analysis.
As a Machine Learning Researcher, you will be experienced within the application of Machine Learning Models to Imaging to support research and will have a significant impact on the development of this organisation's products. This opportunity offers the scope for further progression and to lead a team of researchers as the organisation increases exponentially.
This ML Researcher will have a proficiency in programming (e.g. Python), and academic background within a related field of Machine Learning or Healthcare. You will be working within different areas of ML (e.g. Deep Learning, Computer Vision, etc) and have the opportunity to publish your research at established conferences and journals globally.
What we can offer a Machine Learning Researcher (Medical, Remote, Imaging):
- Company shares scheme
- Opportunity to publish research nationally and internationally
- Autonomy to explore data and generate solutions to medical problems
- Growth in seniority and the opportunity to lead a research team
- Fully remote working from anywhere within the UK
Key Skills: Machine Learning Researcher (Medical, Remote, Imaging); Research, Researcher, Data Scientist, Python, R, Backend, Bayesian, Hypothesis Testing, Isometric Testing, Data Analysis, Statistics, Biostatistics, SQL, NoSQL, Shiny, Graph database, Knowledge Graph, Tidyverse, Machine Learning, AI, Artificial Intelligence, Computer Science, Publications, Deep Learning, Algorithm, Algorithms, Survival Analysis, Enrichment Analysis, Tensorflow, Pytorch, PHD, Msc, masters, Bsc, bachelors, Health, Healthcare, Medical, Medical Image, Medical Imaging, Image, Imaging, Image Analysis, Medical Image Analysis