UNIVERSITY COLLEGE LONDON
CANCER INSTITUTE
JOB DESCRIPTION
POST: Senior Computational Biologist / Statistician
GRADE: 9 (44,074-48,161) plus £2,572 London Weighting
DEADLINE: open call
RESPONSIBLE TO: Stephan Beck
ACCOUNTABLE TO: Stephan Beck
MAIN PURPOSE:
The UCL Cancer Institute is at the forefront of biomedical research with
the mission to develop novel strategies for the prevention, diagnosis and
therapy of cancer.
As part this mission, the Medical Genomics Group headed by Professor
Stephan Beck is seeking a Senior Computational Biologist / Statistician.
The post is supported by a distinguished Heller Fellowship and appointment
of the Heller Fellow will initially be made for 3 years. The position is
indented as a springboard for an independent faculty position within the
UCL Cancer Institute.
Using experimental and computational approaches, the group has broad
interests in the genomics of phenotypic plasticity in health and disease.
Central to this research is the application and further development of an
integrated systems approach for ‘reverse phenotyping’ which is expected to
significantly increase our ability to detect genetic, epigenetic and
combinatorial variations associated with complex disease phenotypes,
including cancer.
The ideal candidate will have a PhD or equivalent degree, several years of
postdoctoral experience, a strong publication record and a proven history
of project leadership in computational biology or statistics. You will
lead the design of multi-dimensional disease studies and drive the
development of novel techniques for (epi)genomic data analysis. Within the
Cancer Institute and UCL, there are excellent opportunities for
interaction with leading researchers in the field. Informal enquiries can
be made to [log in to unmask]
For details please check:
http://www.ucl.ac.uk/cancer/vacancies/SBSS0308/index.htm
Dr. Rumana Omar
Reader and Head of Biostatistics Group
Department of Statistical Science
University College London
Gower Street
London WC1E 6BT
http://www.ucl.ac.uk/stats/research/medstats/
|