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Biostatistician

Remote · Philippines Full-time

BioPhase Solutions specializes in recruiting top talented professionals for the San Diego County Scientific community. We are currently looking for a REMOTE 1099 or W2 Biostatistician to work for a leading San Diego clinical-stage biotech company.

Responsibilities

  • Develop and review Statistical Analysis Plans (SAPs) for clinical studies.
  • Perform statistical analyses and provide interpretation of clinical and safety data.
  • Create specifications for analysis datasets, tables, listings, and figures (TLFs).
  • Review and quality control statistical programming outputs to ensure accuracy and regulatory compliance.
  • Partner with Clinical Operations, Data Management, Medical Writing, Regulatory Affairs, and external vendors to support study execution and reporting.
  • Identify data trends, inconsistencies, and analytical issues and recommend solutions.
  • Support preparation of study reports, regulatory submissions, and scientific publications.

Qualifications

  • MS with 10+ years or PhD with 7+ years of experience in Biostatistics, Statistics, or a related quantitative discipline.
  • Experience supporting clinical development programs within the pharmaceutical or biotechnology industry.
  • Strong understanding of clinical trial methodology, statistical principles, and regulatory requirements.
  • Experience reviewing and quality controlling statistical analyses, datasets, and programming deliverables.
  • Strong communication skills with the ability to collaborate across multidisciplinary teams.
  • Ability to work independently in a fast-paced environment while managing multiple priorities.
  • Advanced programming proficiency in SAS and/or R is required. Candidates without strong hands-on SAS or R programming experience will not be considered.

Preferred Experience

  • Experience supporting Phase I–III clinical studies.
  • Prior involvement with regulatory submissions and health authority deliverables.
  • Experience working with CROs and external statistical programming teams.

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