Network Biologist

Compensation competitive + benefits

Pfizer's Research team in Sandwich has a long history of innovation in the application of computational biology to the drug discovery process, a science we term eBiology. The major challenge facing drug discovery today is the assimilation of the mass of data into networks and ultimately models of biological processes in normal and diseased states. Sometimes termed systems biology, understanding the complex interactions between biological entities of interest in disease will be key to the generation of new drug discovery targets.

We have an exciting opportunity for a Network Biologist to build on our industry leading applied eBiology approaches to deliver new methods of describing disease biology and target hypothesis generation through network biology and computational machine learning techniques. A key part of the role will be to establish a matrix of contacts and collaborators both internally and externally to develop this emergent field within Sandwich Research.

You'll have a relevant degree and PhD, a strong background in data mining and integration, combined with application of these techniques to pathway and network biology. Experience of machine learning and statistical approaches to biological interaction networks is essential. You'll have extensive hands-on experience with network biology tools such as Cytoscape, Cell Designer and SBML and the ability to translate and summarise outcomes of computational biology analyses into information that can be used by research project teams.

To find out more, and to apply visit the careers pages at www.pfizer.co.uk and enter job opening ID: 933149.