About the Role
You will be a joint member of the Lamb Research Group, the Maiques Group, and the Singh Group at the Centre for Biomarkers and Biotherapeutics. The Lamb group, also known as the SPACE Group (Spatial Prostate Assessment and the Circulating Environment), is a newly established unit at Barts Cancer Institute (BCI), Centre for Cancer Evolution, after six years at Oxford. Your responsibilities will include implementing a deep learning work-package as part of a Cancer Research UK-funded programme, focusing on developing an image-recognition model to identify morphological features associated with clonal prostate cancer lethality, derived from Visium spatial transcriptomics (https://youtu.be/YdzF0-PFXhc).
About You
You should hold a PhD (or be close to completion*) in a relevant field and have a proven track record in computational biology and data science, with a background in bioinformatics or computational sciences. Experience with large-scale data analysis and proficiency in R and Python for processing and analyzing genomic data, including employing machine learning frameworks, are essential.
The position is available at grade 4 or grade 5 level. Applicants for grade 5 should demonstrate a record of published research and experience in writing grant proposals.
About Our Institute
We are a leading UK cancer research institute and a Cancer Research UK Centre of Excellence, with core funding from Cancer Research UK as part of the City of London Cancer Centre, alongside the Francis Crick Institute and UCL. Renowned for pioneering basic and translational cancer research, we maintain strong collaborations with NHS Trusts such as Barts Health, Guy's, and St Thomas' Hospitals. We are dedicated to nurturing future cancer researchers through extensive postgraduate training programs.
About Queen Mary University of London
Queen Mary values diversity of ideas and believes that a mix of perspectives fosters innovation. Our history of promoting social justice and academic excellence continues today, aiming to achieve impactful results through diverse thoughts and interdisciplinary interactions.
Benefits
We offer competitive salaries, a comprehensive pension scheme, 30 days' leave (pro-rata for part-time roles), season ticket loans, and numerous personal and professional development opportunities. Our policies support work-life balance and inclusivity, including flexible working arrangements and accessible campus facilities.
Reasonable adjustments will be provided throughout the recruitment process for candidates with disabilities. We welcome applications from candidates interested in flexible working arrangements.
Note: PhD candidates close to completion, without the formal award, will be appointed at a salary of £38,483, increasing to £41,510 upon submission of the award letter or certificate.
*Please specify in your application the grade level you are applying for.
Closing Date
20/05/2025, 23:55
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