Research Associate – Deep Learning for Early Lung Cancer Detection
Artificial intelligence and machine learning have the potential to transform early lung cancer diagnosis.
We are seeking to appoint a data scientist/engineer to develop and apply state-of-the-art AI methods to benefit patient outcomes at St Thomas’ Hospital and other major London centres. This project will develop and apply these methods to automatically analyse patient data, in order to provide doctors with detailed information on the diagnosis and predicted outcome.
The role will require the use of databases, and the development and deployment of data science methodologies, including deep learning techniques, and will determine how these tools can be successfully integrated into the clinical workflow for the benefit of patients.
The successful applicant will be responsible for developing and integrating tools for clinical and imaging data analysis and reporting, including imaging and statistical modelling for analysing outcomes in relation to imaging biomarkers for lung cancer.
The applicant should have some knowledge and experience of machine learning, including deep learning, (medical) image analysis / computer vision. The position would appeal to a candidate with strong software development skills (Python), also including relevant machine learning packages (Tensorflow, Pytorch, …). An interest in cancer imaging is important, but previous experience is not essential
This post will be offered on fixed term contract – 31 March 2022
This is a full time post - 100% full time equivalent
The selection process will include a panel interview and a presentation