£55000 - £85000 per annum + equity and bens
9 months ago
Researcher: Medical, Neural Networks, Health Data, Deep Learning
We are currently looking for a Researcher: Medical, Neural Networks, Health Data, Deep Learning, to join an Oxford based organisation, revolutionising medical research via. Machine Learning and Data Science technology. This organisation are currently focusing their attention on Machine Learning and AI techniques for the purpose of analysing healthcare data in an efficient way.
As a Researcher / Machine Learning Scientist, you will be utilising your current skill set, alongside their unique technological advances within the field. You will also have a huge social impact as you will be aiding medical needs which have been widely unmet across the country. Ultimately, you will be combining your previous experience in the field, alongside vast data sets to improve and save lives.
As a Researcher / Machine Learning Scientist, you will not only be taking on real-world issues but also be working on cutting edge Machine Learning approaches. You will sit beside the Machine Learning Research and Engineering team, programming primarily in Python. You will have a hands-on and strategic impact on the company as they progress forward in the medical research market.
What we can offer a Researcher: Medical, Neural Networks, Health Data, Deep Learning:
- Work for recognised leaders within the Medical Research indsustry
- Strong salary and package
- Work alongside the leading UK University, and a internationally recognised institution
- Work on problems that have never been addressed before
Key Skills: Researcher: Medical, Neural Networks, Health Data, Deep Learning; Data Science, Data Scientist, Research Scientist, PhD, Medical Data, Big Data, Python, Inference, Casual Inference, Deep Learning, Bayesian, Statistics, Statistical Data, Researcher, BSc, MSc, Post Doctoral, Post Doc, Data Analysis, Healthcare, Health, Clinical AI, Machine Learning, AI, Artificial Intelligence, Oxford, Hiring, Recruitment, Recruiting