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ALLSTAT  1999

ALLSTAT 1999

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Subject:

JOB: Statistician, manufacturing/science, Oxfordshire

From:

"Wheeler,Sharon" <[log in to unmask]>

Reply-To:

Wheeler,Sharon

Date:

Thu, 4 Mar 1999 15:54:47 -0600

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (67 lines)

MediSense has a vacancy for a statistician at our development/manufacturing
site in Abingdon near Oxford. Details of the post are given below. The
closing date is Friday 26 March. Please send written applications with a CV
to:

Laura Song, Human Resources Department
MediSense UK Ltd
14/15 Eyston Way
Abingdon
Oxfordshire OX14 1TR

If you have any queries, please contact Laura on 01235-542501. I will be away
until 15 March though you are welcome to e-mail me after then:
[log in to unmask]

Sharon
______________________________________________________________________________
______


Vacancy for a Statistician
Product Support: Statistics Group


MediSense is part of Abbott Laboratories and we are pioneers and leaders in
biosensor technology. One of the world,s major providers of blood glucose
monitoring systms, our diagnostic kits allow fast, accurate, self-testing for
diabetics.

The Statistician will join a group providing general statistical support and
advice company-wide covering Research & Development and Manufacturing.
Application areas include procedures for calibration, product release and
performance monitoring, and the characterisation, development, optimisation
and validation of products and processes. The group,s work includes
statistical investigations and reviews using databased information, analysis
of experimental data, development of methods for routine analysis, and
supervision of local data processing.

An interest in and ability to apply practical statistical methods in a
commercial industrial environment is as important as a sound grounding of
statistical knowledge. Good communication skills are also vital, including
the ability to write coherent reports and recommendations for non-statistical
readers.

A good understanding of regression analysis, analysis of variance, and
general statistical inference is essential. Familiarity with the computer
package SAS would be a great advantage. Knowledge of experimental design,
sampling principles and quality control/SPC methods would also be very
useful.

You will need to be responsive to the needs of the scientists and managers
with whom you will work and should be prepared to be flexible in a fast
changing environment as the company expands.

Educated to B.Sc. level (or equivalent) in a numerate subject, you should
have at least one year,s practical statistical experience.

Salary will be competitive, starting in the range 17,000-23,000 depending
on experience.
Benefits include pension scheme, private medical cover, a year end bonus, and
life and disability assurance. We welcome applications regardless of race,
colour, disability, marital status or sex.



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