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Associate Director of Biostatistics

Местоположение Миссиссога, Онтарио, Канада Идентификатор вакансии R-206527 Дата публикации 09/06/2024

Main duties and responsibilities

Joining a team of statistical methodology experts, you will provide key input as you work to find solutions to problems at critical stages in the drug development cycle.

This is exciting and technically challenging work in a dynamic and constantly changing landscape. Your key focus will be on producing pragmatic solutions, often within a tight time scale where the emphasis will be to deliver first, then refine and develop your solutions thereafter.

Statistical Associate Director is responsible for providing statistical support to clinical trial design and analysis, data analysis and results interpretation for clinical studies at different phase of development. They engage in using modelling and simulations to exploit information to inform design and decision-making. They collaborate across multiple functions including programming team (internal or external), computational pathology, translational medicine teams to implement statistical analysis plan. Partners both internally and externally including with equivalent role in Oncology R&D Unit.

Education and Experience Requirements (Required):

  • MS or PhD in Statistics or a related discipline, preferably followed by experience of independent academic research and/or clinical drug development
  • Documented ability of delivering innovative statistical solutions in drug development and evaluation, study design, and data analysis and interpretation 
  • Track record of research and methodological development in Statistics
  • Desire to apply your scientific competence on practical problems, for the benefit of patients

Desirable Qualifications

  • Knowledge of Bayesian methods and applications and statistical methods related to biomarkers
  • Knowledge / research experience in the development of statistical methodology related to the design of Late Phase clinical trials.
  • High level of competence in global and cross-skilled collaborative working
  • Strong knowledge of programming in R and/or SAS
  • Broad awareness of statistical issues against the evolving scientific and regulatory landscape

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AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com
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AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.

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