Principal Biostatistician

vor 4 Monaten


Zürich, Zürich, Schweiz Denali Therapeutics Vollzeit

Principal Biostatistician


Denali Therapeutics is dedicated to developing breakthrough therapies for neurodegenerative diseases through our deep commitment to degeneration biology and principles of translational medicine.


The Opportunity

Responsibilities

  • Ensure statistical integrity of analysis and reporting deliverables, including guidance on statistical methodology, optimization of study designs, endpoint selection, author/review statistical sections of the protocol, clinical study reports and related documents, oversee timelines and study level tasks pertaining to statistical analysis and reporting.
  • Conduct handson exploratory analyses, sample size estimation, modeling and simulation, and create tools to gain useful insights from data as needed.
  • Consult on methodologies for modeling large scale data (e.g., metabolomics, genetic).
  • Interpret, summarize and present data and statistical considerations to internal project teams, senior management, advisory board meetings and to global health authorities.
  • Collaborate with Clinical Operations to select, oversee, contract, and manage Biostatistics vendors and contract research organizations.
  • Teach Stats basics and/or create standard tools and practices to enable colleagues to visualize and gain insights from their data.
  • Seek out interesting problems and use Statistics to solve them.

Requirements:

  • PhD. in Statistics or Biostatistics with a minimum of 5 years clinical development experience in multiple programs.
  • Experience supporting regulatory submissions, interacting with the FDA and/or global regulatory authorities.
  • Strong analytical and problemsolving skills; expert collaboration and communication skills.
  • Experience working with orphan indications highly desired.
  • Strong programming skills in R, Shiny, Markdown; working knowledge of Git and Unix/Linux environments.
  • Familiarity with industry data standards, including CDISC, SDTM and ADaM data models.
  • Ability and interest to work cross functionally.
  • Highly independent, curious and creative, can do attitude, and embraces continuous improvement culture.

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