Statistics Innovation Leader

5 days ago

London, Greater London, United Kingdom GlaxoSmithKline Full time
About the Role

We are seeking a highly skilled and experienced Biostatistics Methodology Expert to join our team at GlaxoSmithKline. As a key member of our Statistics & Data Science Innovation Hub, you will play a critical role in driving innovation and advancing the field of biostatistics.

Key Responsibilities
  • Develop and implement innovative statistical methodologies to address complex research questions and improve decision-making processes in both clinical and real-world settings.
  • Consult with cross-functional teams to understand their statistical and real-world evidence needs and provide appropriate solutions.
  • Provide statistical expertise and guidance to project teams, including the selection of methodology to use and hands-on implementation work.
  • Stay abreast of the latest developments in statistical methodologies for real-world evidence and epidemiology, and incorporate these into practice where appropriate.
  • Participate in external scientific, regulatory, and professional meetings and forums to represent GSK and maintain visibility in the field.
  • Support identification, development, and application of novel statistical methodologies to increase efficiency and effectiveness of analyses that involve real-world data.
Requirements
  • PhD (or an MSc with significant work experience and methodology publications) in Statistics, Biostatistics, Epidemiology, or a related field.
  • Experience in the application of advanced statistical methods in the pharmaceutical industry or healthcare setting, with a focus on real-world evidence and epidemiology.
  • Sound knowledge of Causal Inference and Target Trial Emulation.
  • Proficiency in statistical programming languages (e.g., R, SAS, Python).
  • Substantial interest in driving both the development of new methodological solutions as well as the identification and application of existing, state-of-the-art solutions to meet the needs of GSK's diverse R&D portfolio.
  • Superb written and verbal communication skills with a demonstrated ability to influence non-specialists to adopt innovation where necessary for smart risk-taking.
Preferred Qualifications
  • Demonstrable evidence of statistical innovation and technical statistical strength, including publication in major scientific journals, conferences, or other scientific proceedings.
  • Experienced user of modern biostatistical methods relevant to drug development, such as Bayesian and/or non-Bayesian adaptive trial design, clinical trial simulation, meta-analysis/evidence synthesis, hierarchical modeling, longitudinal data analysis, and survival analysis.

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