Barts Cancer Institute , Queen Mary University London
About the Role
You will analyse multi-modal data in the context of a wide collaborative European Initiative. This covers electronic health records (EHRs), molecular and imaging datasets from national and international cohorts.
About You
PhD in data science, experience in analysing large multi-modal datasets, machine learning and clinical terminologies
About the Institute
You will be part of a multi-disciplinary team at the Centre for Cancer Biomarkers and Biotherapeutics of the Barts Cancer Institute (BCI).
BCI is a Cancer Research UK Centre of Excellence whose work aims to transform the lives of those with and at risk of cancer through innovative research in the laboratory, in patients and in populations.
About Queen Mary
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.
Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.
Our reformer heritage informs our conviction that great ideas can and should come from anywhere. It’s an approach that has brought results across the globe, from the communities of east London to the favelas of Rio de Janeiro.
We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
Benefits
In return, we offer 30 days’ leave per annum, access to a pension scheme, a season ticket loan scheme and competitive salaries. We also offer enhanced family friendly leave, and an on-site nursery at the Mile End campus. You will also work with a friendly team, with personal development opportunities.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability.
