If interested please contact Kien-Sen Lee at
[log in to unmask] or on +44 (0) 20 7922 7126. Please do
not reply to this email address.
Dear Allstat,
Please find below the details for our latest Contract Statistician
opportunity.
This role is and ideal opportunity for candidates who are looking to
make the transition from permanent positions into the contracting field
as our clients will consider those with a 3 month notice.
The contract is initially 6 months with excellent opportunities to
extend beyond. Rates paid are relative to experience and are very
competitive.
Hays Pharma is recruting on behalf of a major bluechip pharmaceutical
company and is actively searching for 2 experienced statisticians to
join their developing teams.
They have a variety of TA's in different groups they are looking to
fill, working predominantly on phase II/III clinical trials leading to
filing late next year and will be covering study management of 3 studies
and provide input into the regulatory activities.
DUTIES
-Write detailed statistical analysis plans for clinical trials as well
as for integrated summaries of efficacy and safety.
-Analyse clinical trial data producing accurate results representing the
outcome of the trial.
-Validate statistical output.
-Accurately interpret and clearly communicate statistical results and
concepts to non-statisticians.
-Co-author final integrated reports of clinical trial data writing
thorough and clear statistical methods sections and producing the
statistical appendix for the reports.
-Provide statistical output as required for manuscripts and ensure that
the results are accurately interpreted in the publications.
-Provide input into statistical SOPs and general standardization efforts
within the department (e.g. statistical methodology standards, standard
data presentations).
-Participate in interactions with regulatory agencies as required.
-Collaborate effectively with members of clinical trial implementation
teams and with Biometrics colleagues.
QUALIFICATIONS
-Language and Education
-Fluency in English.
-Ph.D. or MSc in Statistics or Biostatistics or equivalent, with
extensive and broad pharmaceutical/ biotechnology -experience.
-Professional Skills and Experience
-Working SAS knowledge and proficient in SAS statistical procedures.
-Knowledge of ICH statistical regulatory requirements.
-Personal Qualifications
-Interpersonal skills, initiative, creativity.
-Excellent communication skills.
If this position is of interest to you please forward an updated CV to
[log in to unmask] or alternatively for a private consultation
call me on 00442079227126.
Ian Kien-Sen Lee
Consultant, Biostatistics - Hays Pharma
t. +44 (0) 20 7922 7126 f. +44 (0) 20 7922 7101 m.+44 (0) 7957 952775
We will be exhibiting at the EFSPI/PSI conference at the Hilton Hotel,
Brussels on May 18th-21st. Please come and visit us on Stand 1
LinkedIn Profile - http://www.linkedin.com/in/Kiensen
Hays Pharma is part of the Hays Plc group of companies - for all our
latest jobs and industry news go to www.hayspharma.com.
Please consider the environment before printing this e-mail
Hays Pharma is proud to be a Carbon Neutral Company
http://www.carbonneutral.com/
******************************************************************************
This message (including any attachments) is confidential and may be legally
privileged. If you are not the intended recipient, you should not disclose,
copy or use any part of it - please delete all copies immediately and notify
the Hays Pharma Helpdesk at [log in to unmask] .
Any information, statements or opinions contained in this message (including
any attachments) are given by the author. They are not given on behalf of
Hays Pharma unless subsequently confirmed by an individual other than
the author who
is duly authorised to represent Hays Pharma.
Hays Pharma is a member of the Hays Plc group of companies. Hays Plc
is registered in
England and Wales, number 2150950. Registered office, 250 Euston
Road, London, England, NW1 2AF.
******************************************************************************
#####################################
James Miller
Department of Statistics
University of Glasgow
15 University Gardens
G12 8QQ
0141 3302474
[log in to unmask]
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