|Date: ||Fri, 8 Mar 2002 10:14:25 -0500|
|Reply-To: ||Natalie Fforde <nataliefforde@COSMICGIRL.CO.UK>|
|Sender: ||"SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>|
|From: ||Natalie Fforde <nataliefforde@COSMICGIRL.CO.UK>|
|Subject: ||New Job: SAS Programmer in Cambridge or Scotland (UK)|
|Content-Type: ||text/plain; charset=ISO-8859-1|
We are currently seeking SAS programmers to join a large CRO based in the
United Kingdom. Although the job is in Pharmeceuticals we can accept
applications from other industry sectors
Please contact Natalie Fforde if you are interested :
Basic Purpose and Objective:
To support the lead statistician on projects, by providing statistical
programming (mainly in SAS®) and QC support in the production of
statistical appendices. To suggest developments to tools and techniques
for improving process efficiences.
The Salary depending upon experience is crica £35,000 + benefits , we pay
re-location and sponsor work permits
Education and Experience:
No experience needed, although a minimum of 2 years experience of SAS®
programming in a clinical research environment is preferred.
No undergraduate qualification is necessary, however a BSc degree in
statistics, biostatistics, mathematics, life science, computing or related
field is desirable.
Knowledge, Skills and Abilities:
 SAS® programming skills and understanding of database structures.
 Good organizational skills of own work load with the ability to
adapt and adjust to changing priorities.
 Excellent written and verbal communication skills.
 Ability to work in a multi-disciplinary team setting.
 Positive attitude and the ability to work well with others.
 Be familiar with, and follow, the departmental and company standard
operating procedures (SOPs) and working practices (WPs).
 Ensure projects are well documented consistent with company SOPs and
 Contribute to statistical analysis plans, mainly through table, listing
and graph specifications.
 Provide programming support for the development of the analysis database.
 Produce statistical appendices, with appropriate documentation.
 Validate statistical appendices, with appropriate documentation.