We are seeking to recruit a highly motivated Postdoctoral Transition Fellow in Machine Learning and Cancer to join Professor Richard Gilbertson's group at the Cancer Research UK Cambridge Institute as part of the Cancer Research UK Children's Brain Tumour Centre (CRUK CBTCE).
The CRUK CBTCE launched in 2018 and is hosted by the University of Cambridge and The Institute of Cancer Research, London. Brain tumours remain the most common cause of cancer-related death in children. Limited progress in these diseases relates directly to the use of inaccurate preclinical pipelines that fail to identify drugs with activity in patients. The CRUK CBTCE convenes a critical mass of expert personnel, infrastructure and global collaborations in paediatric brain tumour biology, medicinal chemistry, pharmacology, together with expertise in preclinical and clinical trials. Our research strategy is centred around our innovative pipeline that aims to generate curative treatments for children with brain tumours. The CRUK CBTCE has received an additional 5 years of funding from CRUK and is currently expanding capacity, building on the success of our previous 6 years programme.
We are recruiting a Postdoctoral Transition Fellow to develop an independent research project using artificial intelligence and machine learning to create the world's first entirely digital models of the hardest to treat children's brain tumours. The models will be used to help identify new treatment targets, develop potential new drugs and test them via virtual clinical trials within computer models of cancer. The role will focus on the development of state-of-the-art machine learning approaches for the analysis of spatial sequencing data of childhood cancers including medulloblastoma and ependymoma in collaboration with the Alan Turing Institute, London and MD Anderson Cancer Center, Texas USA.
Fixed-term: The funds for this post are available for 2 years in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure (criminal records check) check and a security check.
We are anticipating a multiple round interview process with the first round to be held early December 2024 and in person interviews to be held in January 2025.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
