Job Title: Post-doctoral Training Fellow – Cancer Systems Bioinformatics Closing Date of vacancy: 20 September 2013
Division: Molecular Pathology
Team: Molecular Pathology
Type of Contract: Fixed Term
Length of Contract: 3 years
Salary Range: £28,425 p.a. to £40,628 p.a. inclusive Work Location: Sutton (Surrey)
Hours per week: 35
The Institute of Cancer Research (ICR) is one of the world’s most influential cancer research institutes. Our mission is to make the discoveries that defeat cancer. We have a long and distinguished history of research with a major impact on the outcome for cancer patients. Our unique partnership with The Royal Marsden NHS Foundation Trust (RMH) makes us the largest comprehensive cancer centre in Europe, performing high quality original basic research and translational studies. Under the leadership of Chief Executive Professor Alan Ashworth FRS, we are committed to attracting, developing and retaining the best minds in the world. The ICR was ranked as the UK’s top academic research centre in the 2008 Higher Education Funding Council Research Assessment Exercise. Based on our publication record, citations and impact we rank among the world’s leading cancer research centres.
Post-doctoral Training Fellow – Cancer Systems Bioinformatics
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.
Our laboratory focuses on integrating computational biology skills with wet-lab science by cross-comparing high-throughput data between patients and animal and cell line models. The successful candidate will help us in developing and using novel bioinformatic and computational approaches to integrate various profile data from tumors. He/she will enjoy working in the interdisciplinary fields and collaborating with our internal and external collaborators. The candidate will excel in coordinating between computational biology and exploring new research areas through interacting with these collaborations, be a fast learner, and be interested in various scientific subjects and research areas.
Applicants must hold a PhD in quantitative sciences such as Bioinformatics, Computer Science, Statistics, or, Physics and have extensive experience in statistical data analysis. Education/experience in biological/medical sciences is desirable.
Appointment will be on a Fixed Term Contract for three years. The full salary range for the post is £28,425 to £40,628 p.a. inclusive; starting salary dependent on postdoctoral experience. The successful candidate will be based in Sutton, Surrey.
To apply, please upload your CV and covering letter online.