The overall goal of the Cancer Biomarker Centre (CBC) in the CRUK Manchester Institute led by Professor Caroline Dive CBE, is to develop, validate, and implement biomarkers that facilitate the optimisation of cancer patient treatment – personalised medicine. In this regard, CBC is an acknowledged world leader in the study of minimally invasive biomarkers (liquid biopsies) suitable for patient monitoring. Our biomarker research integrates clinical, molecular and computational science into a highly interdisciplinary programme; advanced computational biology is critical to the biomarker agenda.
An exciting opportunity now presents for a Principal Bioinformatician to join the CBC, positioned within the Bioinformatics and Biostatistics team (BBS). You will work alongside a multidisciplinary team of clinicians, biologists, chemists and computational scientists to analyse genomics data arising from patient blood samples. The primary focus will be to apply a wide range of analysis approaches (including Machine Learning and Bayesian modelling) to DNA and RNA sequencing data from Circulating Tumour Cells (CTCs) and circulating tumour DNA (ctDNA) in order to develop novel genomics-based biomarkers that help better characterise patient tumours.
You should have a PhD in Computational Biology/Bioinformatics, Mathematics (or related discipline) or a relevant postgraduate degree in a related discipline and significant relevant experience. You will have significant experience in writing code for robust and reproducible analysis and demonstrable experience in many areas of bioinformatics pertaining to the analysis of high-throughput data. An understanding of liquid biopsies, cancer genomics, and cancer biology are desirable.
You will have excellent communication skills and the ability to converse successfully with interdisciplinary collaborators from non-mathematical backgrounds. Experience of multidisciplinary teamwork would be beneficial.
To apply for this position please visit our website: www.cruk.manchester.ac.uk/recruitment/candidate/searchvacancies and search for MI/19/72_2