Statistical Science Associate Director

hace 1 semana


Barcelona, Barcelona, España AstraZeneca A tiempo completo

Are you passionate about statistics, confident to lead and collaborate with a curious mind? Are you keen to shape the future of statistics, transform the way we work with clinical trial design to build the basis for drug development? Then join the team unlocking the power of what science can do.

Welcome to AstraZeneca


We are recruiting a
Statistical Science Associate Director or Statistical Science Director
to join our growing Early Respiratory & Immunology statistics team to support the Early Phase Respiratory & Immunology/Neurosciences/Vaccines & Infections portfolio**.

Our main focus is providing statistical project lead support for all of Early phase of clinical development for AZ's Respiratory & Immunology, Neuroscience and Vaccines & Infections division together with specific targeted support for the development and innovation of Early Phase Biopharmaceutical trials.


Main duties and responsibilities:


In this role you'll lead the delivery and oversight on multiple studies/indications within multiple drug projects as a Global Project Statistician.

You will work closely with the full team providing targeted statistical support to the Therapy Areas.

You'll participate in adapting and developing statistical methodology and participate in innovation workstreams facilitating innovation, improvement and development of how we do Early Phase Clinical trials.


Requirements:

Essential:

  • The minimum required education is a M.Sc./PhD degree in a relevant discipline such as statistics, biostatistics, or mathematical statistics
  • Experience in the relevant therapeutic areas
  • Strong knowledge of programming in R and/or SAS
  • Understanding of the technical and regulatory requirements related to the role
  • Excellent communication skills and desire to build strong collaborative relationships

Desirable:

  • Knowledge / research experience in the development of statistical methodology related to vaccines & infections, analysis and interpretation of safety data, observational studies, metaanalysis, Bayesian statistics, nonlinear and mixed effect models.
  • Broad awareness of statistical issues against the evolving scientific and regulatory landscape


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