Applications are invited for a postdoctoral computational biologist to join the Laboratory of Professor Sir Tom Blundell at the University of Cambridge, Department of Biochemistry, Central Cambridge.
The successful candidate will work on a project, funded by the UK MRC Newton Fund in collaboration with the Department of Biotechnology (DBT) India, to understand the strain variation and development of antimicrobial resistance in Mycobacterium tuberculosis in Southern India. This is a collaborative grant led by Dr Sharon Peacock, a clinical microbiologist (originally at the Department of Medicine in Cambridge) and involving clinician Professor Andres Floto, and Dr Julian Parkhill at the Wellcome Trust Genome Campus. The Indian collaborators are based at the National Institute for Research in Tuberculosis (NIRT) in Chennai. The objective is to understand the impact of polymorphisms in strains of Mycobacterium tuberculosis on structure, function and drug binding to targets of existing Mycobacterium tuberculosis drugs and therefore to understand antimicrobial resistance. The post holder will align new sequences of strains of Mycobacterium tuberculosis to Chopin, our database of the M. tuberculosis structural proteome. This will be used to analyse the impacts of polymorphisms on using both machine learning and statistical analyses of effects on protein stability (mCSM & SDM), protein-protein (mCSM-PPI & mCSM NA) and protein-nucleic acid interactions, and protein-ligand interactions (mCSM-lig) with a view to understanding and predicting drug resistance. The post holder will also analyse the "druggability" of M. tuberculosis protein structures to identify new targets.
The successful candidate must have or be about to complete a PhD, preferably in a computationally focused research project. Experience in developing software in genomics or structural proteomics is required.
This appointment is part time (3 days/week). Salary £31,604-£38,833 will be pro-rated.
Fixed-term: The funds for this post are available for 12 months in the first instance.
If you have any questions about this vacancy, please contact Prof Sir Tom Blundell (email@example.com).
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
If you have any questions about the application process, please contact Adriana Dote (firstname.lastname@example.org).
Please quote reference PH13941 on your application and in any correspondence about this vacancy.
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