Babraham Institute’s Nuclear Dynamics Programme is undertaking an ambitious BBSRC-funded project on the Systems Biology of Ageing in Haemopoiesis. As part of this project, we are generating genome-wide epigenomic, chromosome conformation and transcriptional data to gain insight into the control of gene regulation in the haemopoietic system and its changes associated with ageing. We are now seeking a driven, experienced and sociable computational postdoctoral scientist to lead the integrative analyses of these global data. Work will be in close collaboration with the Programme’s experimental and computational teams as well as Babraham’s excellent bioinformatics facility.
The Nuclear Dynamics Programme (www.babraham.ac.uk/nuclear_dynamics) is comprised of six independent research groups with strengths in epigenetics, chromatin biology, genome organization, immunology, and haematopoiesis and computational regulatory genomics. The successful candidate will work closely with these groups and also have the opportunity to initiate innovative projects.
This position is suitable for an experienced computational genomics researcher who enjoys working in a highly collaborative environment and welcomes the challenge of integrating multiple genome-scale datasets using advanced data mining, statistics and machine learning. Applicants will have a PhD in bioinformatics, genomics or related discipline and have experience of genome-wide data analyses. They will also be fluent in a scripting language (such as Perl or Python) and familiar with a statistical programming environment (such as R).
The successful applicant will join an international, multidisciplinary research team in an exciting and interactive research environment at the cutting edge of research into control of genome functions and healthy ageing. Informal enquiries may be made to Dr Peter Fraser (e-mail [email protected]) or Dr Mikhail Spivakov (e-mail [email protected]).
The Nuclear Dynamics Programme (www.babraham.ac.uk/nuclear_dynamics) is comprised of six independent research groups with strengths in epigenetics, chromatin biology, genome organization, immunology, and haematopoiesis and computational regulatory genomics. The successful candidate will work closely with these groups and also have the opportunity to initiate innovative projects.
This position is suitable for an experienced computational genomics researcher who enjoys working in a highly collaborative environment and welcomes the challenge of integrating multiple genome-scale datasets using advanced data mining, statistics and machine learning. Applicants will have a PhD in bioinformatics, genomics or related discipline and have experience of genome-wide data analyses. They will also be fluent in a scripting language (such as Perl or Python) and familiar with a statistical programming environment (such as R).
The successful applicant will join an international, multidisciplinary research team in an exciting and interactive research environment at the cutting edge of research into control of genome functions and healthy ageing. Informal enquiries may be made to Dr Peter Fraser (e-mail [email protected]) or Dr Mikhail Spivakov (e-mail [email protected]).
