Post by ncwebcenter on Aug 20, 2009 0:11:07 GMT -5
Director, Statistical Modelling Advisor
Requisition ID: 54996
Position: Full-Time Regular
Open date: Aug 4, 2009 2:59:34 PM
Functional area: Scientific
Location: Research Triangle Park, North Carolina
Harlow,
Grade level: C2
Salary low: 0
Salary high: 0
Required degrees: Not Indicated
Basic qualifications:
Ph.D. in Statistics and/or Mathematics plus relevant experience in pharmaceutical industry including experience in different therapeutic areas.
Preferred qualifications:
The ideal candidate should have an extensive statistical modelling and simulation skill set covering aspects of the following: Design and analysis of Phase II/III clinical trials, Disease progression modelling, Meta-data models utilising internal and external sources, Bayesian Statistics, Decision Analysis and Clinical trial simulation. Candidates must also possess very good skills in the use of several specialized software such as R, S-Plus, BUGS, SAS and/or NONMEM as well as good written and oral communication skills. The candidate should also demonstrate the ability to advise and consult on projects.
Details:
Within the newly created Pharmacometrics (PMx) group, the candidate will be responsible for leading the development and implementation of innovative analytical methods to interpret and describe pharmacology, physiology and disease in a quantitative fashion by advising on the integration and application of statistical models to characterize, understand, gain insights into the determinants of efficacy and safety outcomes, predict a drug’s and biomarker-outcome, optimize drug development plans and enable critical decision making. Responsibilities will include leading PMx projects and providing advice on evaluating and applying new statistical methodologies and/or advanced study design to improve information quality and utility, and enhance efficiency of clinical trials.
The candidate will have the opportunity to explore, learn and utilize state-of-the-art methodologies to help shape our question-based product development plans and aid in dose selection. The candidate will be advising colleagues on statistical modelling and simulation methodologies. The candidate will be working across the GSK drug discovery pipeline from pre-candidate selection through post-licensing within therapeutically-aligned groups.
The candidate should:
• Demonstrate a recognised scientific expertise appropriate for delivering innovative scientific/methodological solutions and for influencing cultural changes within GSK.
• Consistently evaluates and champions innovative research/development solutions to support drug/business development decision making process.
• Applies scientific skills to influence experimental design and data interpretation that impacts drug discovery/development across all therapeutic areas.
• Lead initiatives, defines and executes coordinated strategies based on multidisciplinary teams activities.
• Proven competency of networking skills with external key opinion leaders and experts in advanced statistical modelling and effectively communicates findings to internal groups.
• Builds communications networks across GSK based on science.
• Expert opinion, presentation or contribution frequently sought by international organisations or bodies.
Principal responsibilities include:
• Leads multiple PMx projects across the GSK drug discovery pipeline including being responsible for drawing up a PMx plan, and defining the PMx team.
• Leads the development, evaluation and reporting of statistical models that describe compound- or disease-related data to support the implementation and the execution of PMx projects.
• Provide advice and mentoring to other statistical modellers within PMx.
• Provide relevant statistical expertise and represent PMx as an active member of various PMx Project teams
• Identify opportunities for innovative study designs and decision analysis to enhance PMx project deliverables
• Keep abreast with advanced statistical analysis methods and explore ways to implement relevant methods in clinical studies.
• Provide guidance and advice of relevant computer packages to carry-out simulations for advanced designs, and make recommendations for purchase.
• Advise on and perform simulations to predict clinical response and study outcomes.
• Interact cross-functionally with company departments and groups.
• Represent PMx by working on cross-functional initiatives or those of other company departments and groups.
• Prepare, review, publish and present scientific publications and abstracts.
• Sustain scientific competence by establishing familiarity with new methods, continuing education in the field of expertise, maintaining current knowledge of relevant PMx innovative approaches.
• Establish working relationships with internal and external scientific experts as appropriate for PMx projects.
To apply, please send resume to info@ncwebcenter.com with subject line "GSK- Director, Statistical Modelling Advisor".
Requisition ID: 54996
Position: Full-Time Regular
Open date: Aug 4, 2009 2:59:34 PM
Functional area: Scientific
Location: Research Triangle Park, North Carolina
Harlow,
Grade level: C2
Salary low: 0
Salary high: 0
Required degrees: Not Indicated
Basic qualifications:
Ph.D. in Statistics and/or Mathematics plus relevant experience in pharmaceutical industry including experience in different therapeutic areas.
Preferred qualifications:
The ideal candidate should have an extensive statistical modelling and simulation skill set covering aspects of the following: Design and analysis of Phase II/III clinical trials, Disease progression modelling, Meta-data models utilising internal and external sources, Bayesian Statistics, Decision Analysis and Clinical trial simulation. Candidates must also possess very good skills in the use of several specialized software such as R, S-Plus, BUGS, SAS and/or NONMEM as well as good written and oral communication skills. The candidate should also demonstrate the ability to advise and consult on projects.
Details:
Within the newly created Pharmacometrics (PMx) group, the candidate will be responsible for leading the development and implementation of innovative analytical methods to interpret and describe pharmacology, physiology and disease in a quantitative fashion by advising on the integration and application of statistical models to characterize, understand, gain insights into the determinants of efficacy and safety outcomes, predict a drug’s and biomarker-outcome, optimize drug development plans and enable critical decision making. Responsibilities will include leading PMx projects and providing advice on evaluating and applying new statistical methodologies and/or advanced study design to improve information quality and utility, and enhance efficiency of clinical trials.
The candidate will have the opportunity to explore, learn and utilize state-of-the-art methodologies to help shape our question-based product development plans and aid in dose selection. The candidate will be advising colleagues on statistical modelling and simulation methodologies. The candidate will be working across the GSK drug discovery pipeline from pre-candidate selection through post-licensing within therapeutically-aligned groups.
The candidate should:
• Demonstrate a recognised scientific expertise appropriate for delivering innovative scientific/methodological solutions and for influencing cultural changes within GSK.
• Consistently evaluates and champions innovative research/development solutions to support drug/business development decision making process.
• Applies scientific skills to influence experimental design and data interpretation that impacts drug discovery/development across all therapeutic areas.
• Lead initiatives, defines and executes coordinated strategies based on multidisciplinary teams activities.
• Proven competency of networking skills with external key opinion leaders and experts in advanced statistical modelling and effectively communicates findings to internal groups.
• Builds communications networks across GSK based on science.
• Expert opinion, presentation or contribution frequently sought by international organisations or bodies.
Principal responsibilities include:
• Leads multiple PMx projects across the GSK drug discovery pipeline including being responsible for drawing up a PMx plan, and defining the PMx team.
• Leads the development, evaluation and reporting of statistical models that describe compound- or disease-related data to support the implementation and the execution of PMx projects.
• Provide advice and mentoring to other statistical modellers within PMx.
• Provide relevant statistical expertise and represent PMx as an active member of various PMx Project teams
• Identify opportunities for innovative study designs and decision analysis to enhance PMx project deliverables
• Keep abreast with advanced statistical analysis methods and explore ways to implement relevant methods in clinical studies.
• Provide guidance and advice of relevant computer packages to carry-out simulations for advanced designs, and make recommendations for purchase.
• Advise on and perform simulations to predict clinical response and study outcomes.
• Interact cross-functionally with company departments and groups.
• Represent PMx by working on cross-functional initiatives or those of other company departments and groups.
• Prepare, review, publish and present scientific publications and abstracts.
• Sustain scientific competence by establishing familiarity with new methods, continuing education in the field of expertise, maintaining current knowledge of relevant PMx innovative approaches.
• Establish working relationships with internal and external scientific experts as appropriate for PMx projects.
To apply, please send resume to info@ncwebcenter.com with subject line "GSK- Director, Statistical Modelling Advisor".