Research Associate in Computational Pathology and Multi-omic Data Integration
We invite applications for a postdoctoral Research Associate to work in the Department of Oncology at the University of Cambridge. The successful candidate will also become a member of the Mark Foundation Institute for Integrated Cancer Medicine and the Cancer Research UK Cambridge Centre.
This role is an exceptional opportunity to join a strong and passionate interdisciplinary team to develop new deep learning approaches to model the multi-scale spatial evolution of ovarian cancer. The successful candidate will drive the development and application of computational pathology methods to quantify tumour heterogeneity across multiple locations and time points. They will also create frameworks to discover and model spatial correlations with other data modalities such as genomics, transcriptomics, and radiological imaging. The research will aim to reveal new scientific insights into the disease as well as to provide support to critical, unsolved clinical questions.
Research Associate will be supervised by Dr Mireia Crispin-Ortuzar, in
close collaboration with a highly dynamic group of oncologists,
radiologists, mathematicians, and computer scientists from across the
University. In addition, the successful candidate will be part of the
partnership between the University, Cambridge University Hospitals NHS
Foundation Trust and GE Healthcare to deliver better patient outcomes
across the East of England Cancer Alliance, by working together to solve
unmet needs in care pathways of challenging cancers such as Ovarian,
Renal and Breast. The partnership's overall aim is to develop a robust
clinical data ecosystem to enable the deployment of AI solutions based
on data integration.
Apply here: https://www.jobs.cam.ac.uk/job/38078/
Deadline to apply: 5 December 2022
More information: http://www.crispinlab.com/
Informal enquiries: Mireia Crispin-Ortuzar (mc...@cam.ac.uk)