Computational Biology Group
Starting Salary from £24,776 to £41,536 (Depending on experience) plus relocation allowance where appropriate.
The CRUK Beatson Institute is a cancer research institute, situated in Glasgow with approximately 250 researchers split across 30 research groups consisting of PIs, postdoctoral scientists, PhD students and scientific officers. It is one of Europe's leading cancer research centres, supporting cutting-edge work into the molecular mechanisms of cancer development. As well as core support from Cancer Research UK, the Institute also receives an additional third of its total income from external grants and industry collaborations. It has an excellent reputation for fundamental cancer research, including world-class metabolism studies and renowned in vivo modelling of tumour growth and metastasis. Its research ethos is about excellence, honesty, openness, accountability, and integrity. Computational Biology and Data Science are a fundamental aspect of our Research programme and are supported by a core research-active Bioinformatics team that works collaboratively with groups throughout the Institute.
PREDICT-Meso is a multidisciplinary, international endeavour that connects world-class Mesothelioma research teams, enabling them to build critical infrastructure and deliver a transformative programme of pre-clinical and clinical research, and to share new knowledge quickly with global partners.
A position is available within the Computational Biology group to develop bioinformatics software to support the analysis and sharing of multiomics data arising from the PREDICT-Meso Accelerator Network.
The post will focus on developing the bioinformatics infrastructure required to support data sharing and dissemination within the PREDICT-Meso network. This will involve developing tools and processes to support comparative-multiomics analysis, the upload of data into public genome repositories, alongside the design and implementation of workflows that encapsulate multiomics data and their associated clinical annotation in R/BioConductor objects. These will be used to support data exchange between computational biologists and bioinformaticians around the world.
The successful applicant will have a PhD or Masters degree in bioinformatics, computational biology, computer science or a related discipline OR an undergraduate degree in computer science or a related discipline with a proven track record in software engineering. They will have significant software development experience and excellent coding skills and will relish bringing these skills to bear in a highly dynamic and collaborative environment. Significant experience coding in R, while not a pre-requisite, would confer a significant advantage, as would direct knowledge of working with genomics data.
For informal enquiries please email Professor Crispin Miller at crispin.miller@glasgow.ac.uk
Closing date for applications: 30th September 2021