 |
 |
We have a great permanent role for an Expert in Clinical Trials Methodology. The role will be working globally to lead and consult with teams in innovative clinical trial design from the statistical perspective. Ideally, you will have research and methodological experience and be published in the following areas: - advanced/adaptive clinical trial design - multiplicity - subgroups and biomarkers - decision analytics Experience: - High level of competence in global and cross-skilled collaborative working in statistical teams - Application of expertise on practical problems, for the benefit of patients, with proven examples - PhD in Statistics, followed by strong experience of independent academic research and/or clinical drug development - Knowledge / research experience in group-sequential/adaptive designs, multiple testing, Bayesian statistics, optimal design theory, missing data, non-linear and mixed effect models - Ability to implement methods computationally in the candidate’s area of expertise, in for example R, SAS (or other language) - Broad awareness of statistical issues against the evolving scientific, regulatory and payer arenas This is a key role and therefore has a great salary and benefits package associated with it. Please let me know if you are interested in discussing this further with me or directly with our client. Gail Managing Director Follow us for all the latest job updates, follow us on Linkedin <http://www.linkedin.com/company/pop-science?trk=company_logo> www.pop-science.co.uk Pop-Science Limited Registered in England and Wales with number 08076622, VAT No 140246843 *This email and any files transmitted with it are confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this email in error please notify the system manager. Please note that any views or opinions presented in this email are solely those of the author and do not necessarily represent those of the company. Finally, the recipient should check this email and any attachments for the presence of viruses. The company accepts no liability for any damage caused by any virus transmitted by this email.* +44 (0) 208 985 0565 +44 (0) 7971 666239 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.