Research Assistant or Research Associate
5 days left
- Full Time
We seek a motivated, proactive and engaged computational biologist to develop advanced computational methods for the integrated analysis of oesophageal cancer molecular and clinical data.
The post is part of a Cancer Research UK Programme Award. Cancer molecular and clinical data are provided by the International Cancer Genome Consortium (ICGC) and the UK-based Oesophageal Cancer Clinical and Molecular Stratification (OCCAMS) Consortium.
Our group has a long-standing interest in applying systems biology approaches to study cancer and we are a multidisciplinary team combining computational and wet-lab approaches. Exemplar projects include the identification of altered genes contributing to cancer using machine learning (see doi: https://doi.org/10.1101/321612, in press in Nature Comms) and the immunogenomic analysis of cancer data to predict the response to immunotherapy.
We are part of the School of Cancer & Pharmaceutical Sciences of King’s College London and are located at The Francis Crick Institute in London (see here for more information).
This post will be offered on a fixed-term contract for 3 years.
The selection process will include a panel interview.
To apply, please register with the King’s College London application portal and complete your application online.