Two Bioinformatics positions at The Institute of Cancer Research, London:
Post-doctoral Training Fellow - Cancer Systems Bioinformatics, - Ref:1369295 (Closing Date of vacancy: 30 Oct 2013)
We seek a motivated Post-doctoral Training Fellow for the laboratory of Systems and Precision Cancer Medicine at the ICR. Inter- and intra-tumoral heterogeneity at the molecular and metabolic levels contribute to variations in metastatic potential, prognosis and therapeutic responses in patients. To this end, we have classified different tumor types including pancreatic and colorectal cancers into distinct molecular and/or drug response subtypes (Collisson and Sadanandam et al. Nature Medicine 2011, Heiser and Sadanandam et al. PNAS 2012 and Sadanandam et al. Nature Medicine 2013). In addition, we have identified subtype-specific cellular origin and molecular mechanisms and suggested possible precise therapies using combined (systems biology) wet-lab and bioinformatics approaches. Furthermore, our goal is to identify tumor subtype-specific robust biomarkers (genetic, epigenetic, metabolic, pathway, network and/or cell type) and targeted therapies by integrating molecular, metabolic and drug profile data generated from clinical and pre-clinical (both in vitro and in vivo) studies. This will help us to improve disease management and avoid over- or under-treatment.
Bioinformatics Officer, Endocrinology, - Ref:1375626 (Closing Date of vacancy: 18 Nov 2013)
We currently have a vacancy for a highly motivated Bioinformatics Officer to provide support for our ongoing molecular profiling and next-generation sequencing projects within the Team, and to build on existing collaborations with other groups internationally. The successful candidate will be responsible for the quality assurance, electronic storage and primary analysis of bioinformatics data generated by numerous projects. In particular he/she will have established expertise in Next Generation Sequencing, particularly in respect to whole genome, exome, RNA-seq. and ChIP-seq. and their integration with clinical and other biological data.
