Post-Doctoral Fellowship, Statistics
Clinical Statistics (CS) provides statistical expertise and input to the
design, analysis and interpretation of clinical projects across all phases of
development. In doing so, CS utilizes modelling and simulation tools to ensure
efficient designs are deployed that will maximise the chance of effective
decision-making.
As part of GSK's commitment to "Re-engineer Phase", we are funding a
Postdoctoral Fellowship for a suitable individual, to develop optimal modelling
approaches to help with the design and interpretation of dose-finding, or
dose-response, studies. Such studies form a crucial pivot in drug development,
moving a molecule from its earliest indications of potential value ("Proof of
Concept"), to a medicine ready - in the sense that an appropriate dose, based
on both efficacy and safety considerations, has been accurately identified -
for its final, large clinical trials ("Phase 3").
The appointed candidate will explore the range of historical and novel
methodologies available the statistician tasked with designing and analysing
such studies. He or she will perform a systematic review of the
statistical/modelling strategies suitable for: the selection of the most
appropriate model(s); methods of model-fitting; post-fit inference about
optimal dose selection. Exploration and implementation of novel techniques
(e.g. Bayesian model-averaging) will form part of the role, together with a
sensitivity analysis/simulation exercise into the performance characteristics
of the range of methods, using both simulated and real dose-ranging clinical
trial data.
Once methodology has been developed, the appointed candidate will develop tools
and provide training to embed methodology within GSK teams.
Key areas requiring elaboration include the use of non-linear biological
models, comparisons with semi-parametric models (e.g Normal Dynamic Linear
Model or Splines). The use of Bayesian (including Model Averaging) approaches
for both model-fitting, and decision-making, and the formal incorporation of
model uncertainty into inference about the dose-response curve or target dose
will also be investigated to form part of the approaches considered together
with other novel approaches.
Postdoctoral Fellows are typically in their first or second postdoctoral
position. The post is a two year fixed-term contract.
The position will be based in Europe, with requirements for the appointed
candidate to attend regular meeting at UK site (Stockley Park or Stevenage).
If you want to make a real difference to people's lives across the globe - and
your own career prospects in the process - please apply on-line.
Basic qualifications:
Ph.D. degree in Statistics or applied Mathematics or a related discipline with
experience of SAS and R programming together with experience in the area of
methodological development
Preferred qualifications:
A first degree in mathematics or statistics would be preferred, but candidates
with other relevant first degrees (those with a substantive content of
quantitative analysis) will be considered
Details:
Closing date for application :27 July 2012.
Find out more and apply at:
https://careers.peopleclick.com/careerscp/client_gsk/external_pages_uk/en-us/gateway.do?functionName=viewFromLink&jobPostId=190916&localeCode=en-us
Stefano Zamuner, PhD
Director, Clinical Pharmacology
Biopharm & II Clinical Pharmacology, Modelling & Simulation - Quantitative
Sciences
GlaxoSmithKline
1-3, Iron Bridge Road, Stockley Park
Uxbridge UB11 1BT
Office: +44 (0)208 990 2901, Int: 792 2901
Mobile: + 44 (0)7585405011
Fax: +44(0)208 966 5400
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