Vaccine Data Analyst

2 weeks ago

Dublin, Dublin City, Ireland beBeeBiostatistician Full time €80,000 - €130,000
Job Overview

This role offers statistical support for projects in the Vaccines Therapeutic Area.


Key Responsibilities
  • Provide scientifically rigorous statistical input on post-hoc / ad-hoc analysis requests in support of publication projects and regulatory query responses.
  • Develop statistical analysis plans, mock-up tables, and quality check plans.
  • Oversee programming support activities for assigned projects. Validate the accuracy, consistency, and integrity of the statistical output displays generated by programmers.
  • Lead multiple project teams by applying project management skills, statistical, and programming techniques to prepare, execute, report, and document high-quality statistical analyses per statistical analysis plans.
  • Conduct peer review of project-related work performed by other statisticians, maintain compliance with the latest regulatory requirements, and maintain project documentation and files according to departmental policy.
  • Communicate competently and independently with clients to coordinate the statistical and programming considerations of the project.
  • Demonstrate a strong understanding of ICH guidelines and clinical trial design as applicable to statistics.

Requirements
  • Masters in Statistics/Biostatistics (or related field) with 8+ years' experience in clinical trials, or PhD in Statistics/Biostatistics (or related field) with 4+ years' experience in clinical trials.
  • Effective verbal and written communication skills.
  • Understanding of broad statistical theory and its application.
  • Able to fully understand clinical questions and concepts and translate them into SAP development followed by data generation all the way through publication.
  • Effective at clearly explaining statistical concepts to colleagues without statistical training.
  • Work collaboratively as a team member.
  • Experience with statistical modelling of clinical data and statistical inference.
  • Experience in R or SAS programming languages.

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