Associate Director Biostatistician – Medical Affairs

in Healthcare + Life Sciences Permanent

Job Detail

  • Experience Level Associate Director
  • Degree Type Doctor of Philosophy (PhD)
  • Employment Full Time
  • Working Type Remote
  • Job Reference 0000016143
  • Salary Type Annually
  • Industry Pharmaceuticals
  • Selling Points

    Shape impactful statistical strategies for Medical Affairs initiatives in a dynamic environment. Collaborate with experts to generate post-approval evidence and contribute to scientific advancements. Enhance your career with innovative projects and cross-functional teamwork.

Job Description

Overview

  • Lead statistical activities supporting Medical Affairs, including post-approval evidence generation, study design, and exploratory analyses.
  • Collaborate with cross-functional teams to develop protocols and statistical analysis plans for observational and clinical studies.
  • Provide statistical guidance on ongoing studies and contribute to regulatory document preparation.
  • Implement statistical analyses for clinical trial, registry, and non-interventional data supporting Medical Affairs objectives.
  • Contribute to scientific articles, abstracts, and manuscripts summarizing study data.
  • Support data management activities, including eCRF design and data analysis coordination.
  • Participate in meetings and activities to enhance Biostatistics and Medical Affairs team collaboration.

Key Responsibilities & Duties

  • Lead statistical support for post-approval evidence generation and reimbursement submissions.
  • Conduct post-hoc analyses for publications and presentations.
  • Develop statistical sections for study protocols and analysis plans.
  • Collaborate with Statistical Programming to implement analyses for Medical Affairs data.
  • Provide guidance on observational studies and ongoing clinical studies.
  • Contribute to regulatory documents and observational study reports.
  • Support cross-functional teams in study design and data analysis coordination.

Job Requirements

  • PhD in Biostatistics, Statistics, or equivalent; MS with significant relevant experience considered.
  • Extensive experience in SAS programming and clinical study data analysis.
  • Proficiency in R programming and familiarity with CDISC standards.
  • Understanding of ICH GCP and industry practices.
  • Strong communication and presentation skills.
  • Experience with post-approval observational and clinical studies.
  • Ability to collaborate effectively with cross-functional teams.
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