JOHN INNES CENTRE
STATISTICAL EXPERIMENT ANALYST
Applications are invited for a Statistical Experiment Analyst within the
Computational Biology Group at the John Innes Centre. JIC is an
internationally premier academic institute for basic and strategic
research into the functioning of plants and microorganisms
(http:/www.jic.bbsrc.ac.uk/corporate/science). The postholder will be
required to provide statistical and computational advice and support to
JIC scientists on the design, analysis and interpretation of high-
throughput experiments associated with our research, ideally for
microarrays and subsequently also for metabolomics and proteomics
projects. Knowledge about high-throughput experiments is not a pre-
requisite but the successful candidate will have the background and
flexibility necessary to acquire a detailed knowledge of these fields and
will receive any training required.
Candidates should have an MSc or equivalent in statistics plus at least
one year’s experience in the design, analysis and interpretation of
biological experiments. Excellent communication skills, with experience
as a consultant, in order to support, advise and direct students, post-
doctoral and senior scientists is essential. The ideal candidate will be
familiar with genetics, genomics and molecular biology.
Salary on appointment will be within the range £26,000 to £30,500 per
annum, plus a retention and recruitment allowance (currently up to £4,000
per annum), depending on qualifications and experience. JIC offers a
choice of a final salary and stakeholder pensions.
Please contact [log in to unmask] for information on applications.
Application forms can be obtained by writing to the Personnel Officer,
John Innes Centre, Norwich Research Park, Colney, Norwich, Norfolk, NR4
7UH, or from our web site
http://www.jic.bbsrc.ac.uk/corporate/Vacancies/Vacancies.htm please quote
reference number 12 51 on all correspondence. The closing date for
completed application forms will be 23rd January 2004.
The John Innes Centre is a registered charity (No223852) grant-aided by
the Biotechnology and Biological Sciences Research Council and is an Equal
Opportunities Employer.
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