Department of Medicine

The Cambridge-GSK Translational Immunology Collaboration (CG-TIC) is a new, interdisciplinary partnership between the University of Cambridge and GSK bringing together expertise in immunology, AI and clinical development from both partners. The collaboration will focus on two disease areas: chronic kidney disease, estimated to affect 850 million people (roughly 10% of the world's population) (International Society of Nephrology) and chronic respiratory disease, affecting around 545 million people (The Lancet). The partnership is built around three key themes, involving the integration of patient phenotyping, understanding mechanisms of disease, and advancing oligonucleotide therapeutics.

The University of Cambridge is seeking a highly motivated, hard-working and professional computational biologist/clinical expert to work alongside an analytical team consisting of clinical, immunological and computational researchers within CG-TIC. The role will facilitate cutting-edge scientific studies by providing expertise in biostatistics and informatics, assisting clinical investigators in research methods and collaborating with the teams of data scientists and computational biologists.

https://www.cam.ac.uk/jobs/cg-tic-computational-biologistdata-scientist-fixed-term-rc49656