Statistics Leader - Statistical Innovation Group

Your Responsibilities:
Responsibilities of the role include:

• Join a group of innovative statistical scientists working in close collaboration with project teams and key stakeholders to design more effective studies which: raise the likelihood of success (where the drug is safe and effective), increase the likelihood of an early termination (where the drug is ineffective or unsafe), and/or reduce the expected cost of the trial or programme. Key areas of current focus include:
• developing and implementing appropriate designs and methods that make systematic use of prior information (including expert knowledge) and/or adaptive designs
• developing and implementing appropriate methods for analysis and visualisation of data from wearable/digital devices, and identifying suitable clinical endpoints based on these data
• developing and implementing appropriate designs and methods for handling treatment discontinuation and withdrawal from clinical trials (estimands)
• Communicate complex statistical designs/concepts to non-statistical audiences in an efficient manner
• Provide statistical consultancy and training to statistical and non-statistical staff as needed
• Create and foster collaborations with external statistical groups (both industry and academia) in order to promote statistical innovation within GSK and across the pharmaceutical industry
• Proactively contribute to development and implementation a communication strategy to rapidly advance awareness and uptake of new statistical methods and novel designs within GSK

Why You?

Basic qualifications:
• PhD (or equivalent) in statistics/biostatistics or related quantitative discipline
- Clinical Development knowledge
• Demonstrable evidence of statistical innovation and technical statistical strength, including publication in major scientific journals
• Experience of using Bayesian methods
• Competent user of modern biostatistical methods relevant to drug development, such as mixed modelling, longitudinal/time series modelling, survival analysis, clinical trial simulation
• Thorough working knowledge of current statistical software packages (at least one of SAS, R, Stata)
• Experience of statistical programming (e.g. in R, SAS, Python, Java)
• Demonstrated ability to effectively communicate complex statistical ideas to non-statisticians
• Self-motivated, independent worker
• Record of building and maintaining effective working relationships

Preferred qualifications:
• Experience in one or more areas of statistical research activity relevant to pharmaceutical industry (e.g. use of historical data / informative priors, adaptive designs, missing data, benefit-risk modelling, evidence synthesis). Evidence of deeper expertise in at least one of these areas would be beneficial but not essential.
• Experience of using MCMC software packages (e.g. BUGS, JAGS, Stan, INLA, SAS Proc MCMC)
• Experience of parallel/distributed computing
• Experience with machine learning algorithms, multivariate statistical analysis techniques and/or biomarker modelling in drug development
• Proven ability to apply innovative statistical thinking to meet project and/or business objectives. Demonstrable evidence of using innovative statistical thinking to influence practice would be beneficial but not essential.
• A good understanding of drug development processes and strategies would be beneficial, but not essential
- Other training (data science, Physics, math, computational biology)

Why GSK?:
Within GSK, the Statistical Innovation Group (SIG) is part of Quantitative Sciences, a group which includes clinical statistics, clinical pharmacology modelling and simulation, epidemiology and non-clinical statistics. The primary focus of the SIG is Pharma Research and Development, with particular attention on clinical trial design, analysis and interpretation. However, the group also has a wide-ranging remit to work with all parts of the GSK business, providing the opportunity to influence statistical thinking across the spectrum of drug development, from early discovery, to registration and marketed product support.

We offer competitive salaries, benefits, training and development, and are committed to the continuous development of your technical skills and competencies. Opportunities are available at our site in Upper Providence (suburban Philadelphia) in the US.

Contact information:
You may apply for this position online by selecting the Apply now button.
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