AstraZeneca are advertising a Post-Doctoral Fellowship position: Predicting patient outcome using AI in radiology
The role represents a unique opportunity to develop, validate and publish on artificial intelligence (AI) based image analysis techniques for the assessment of medical imaging data (also known as radiomics). The ultimate goal will be to develop novel tools that can help guide optimal treatment strat egies for cancer patients.
The majority of cancer patients are imaged using computed tomography (CT) scanning both before and during treatment. You will have access to CT scan data acquired in clinical trials of leading AZ medicines including molecularly targeted drugs and immunotherapies. You’ll drive the development and application of state-of-the-art radiomics techniques to identify radiomic markers that can (a) predict which patients will benefit from a given drug, (b) predict tumour molecular characteristics, and © predict which patients are likely to experience specific drug-related toxicities.
You’ll have the opportunity to collaborate with world leading experts in oncology, image analysis, machine learning and radiomics both within AZ and outside of the company. One of the key external collaborators will be Dr Hugo Aerts (Harvard University / Dana Farber Cancer Institute). Your research will lea d to high quality peer-reviewed publications and the opportunity to present at national and international meetings.
Further information can be found at https://www.nature.com/naturejobs/science/jobs/640183-postdoc-fellow-predicting-patient-outcome-using-ai-in-radiology and https://www.linkedin.com/jobs/view/600662942/
Please note this position is in no way affiliated with the CMIH