Associate Director, Biostatistics

in Healthcare + Life Sciences
  • Bedford, Massachusetts View on Map
  • Salary: $93.00 - $93.00
Contract

Job Detail

  • Experience Level Associate Director
  • Degree Type Master of Science (MS)
  • Employment Contract
  • Working Type Remote
  • Job Reference 0000017792
  • Salary Type Hourly
  • Industry Pharmaceuticals
  • Selling Points

    Lead impactful biostatistical projects in a dynamic, remote environment. Collaborate with cross-functional teams to drive clinical trial success. Enhance your expertise in advanced statistical methodologies.

Job Description

Overview

  • Lead biostatistical efforts for clinical trials, ensuring statistical integrity and compliance with regulatory guidelines.
  • Collaborate with cross-functional teams to design studies and analyze data effectively.
  • Provide expertise in statistical methodologies to enhance study results and efficiency.
  • Develop and review statistical analysis plans, protocols, and study documentation.
  • Contribute to regulatory submissions and scientific publications as a statistical expert.
  • Work remotely, managing multiple tasks and priorities within tight timelines.
  • Engage in innovative research to advance statistical standards and methodologies.

Key Responsibilities & Duties

  • Design clinical trials, determining sample sizes and statistical approaches.
  • Author and review statistical sections in protocols, SAPs, and DMC charters.
  • Develop and validate randomization files and TFL specifications.
  • Ensure compliance with ICH guidelines and regulatory requirements.
  • Collaborate with biometrics and cross-functional teams to meet project deliverables.
  • Conduct advanced statistical analyses and propose novel methodologies.
  • Review CRFs and other study-related documentation for accuracy.
  • Participate actively in study-related meetings and discussions.

Job Requirements

  • PhD in Statistics/Biostatistics with 5+ years or MS with 8+ years of experience.
  • Proven expertise in clinical trials and regulatory submissions (NDA/BLA/MAA).
  • Proficiency in SAS and R; knowledge of CDISC standards preferred.
  • Solid understanding of statistical principles and regulatory guidelines.
  • Experience as a study lead statistician in cross-functional settings.
  • Strong organizational, problem-solving, and prioritization skills.
  • Ability to manage multiple tasks and meet tight deadlines.
  • Familiarity with FDA/EMA regulatory requirements and statistical methodologies.
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