🚀 Senior Biostatistician I

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💰 Earn $125.000 – $150.000 / year
  • 📍 Location: , , United Kingdom
  • 📅 Posted: Oct 20, 2025

Overview

Senior Biostatistician I – (with Programming Support) – Remote (United Kingdom)

We are seeking a Senior Biostatistician to join an embedded team in a CRO. This role focuses on biostatistical design, analysis, and reporting for clinical trials, with hands-on programming support (SAS/R) as the team integrates both functions.

You will help ensure the statistical integrity and quality of clinical trial deliverables, working with cross-functional teams including programmers, data managers, and project managers.

Responsibilities

  • Lead statistical planning and analysis for clinical trials, including efficacy, safety, and exploratory endpoints.
  • Develop and implement statistical analysis plans (SAPs) and contribute to study design discussions, including sample size calculations, randomization, and stratification strategies.
  • Program and validate statistical outputs using SAS or R, including tables, listings, and figures (TLFs) for study reports and regulatory submissions.
  • Ensure all statistical and programming deliverables comply with regulatory standards (ICH-GCP, FDA/EMA guidelines) and internal quality requirements.
  • Collaborate with other biostatisticians and programmers to ensure consistent and high-quality study deliverables.
  • Act as the primary statistical resource for assigned studies while providing support for programming tasks as needed.
  • Support client engagement by providing statistical input and guidance on study deliverables.

Requirements

  • Proven experience as a biostatistician in clinical trials, ideally at Senior I / early Senior II level.
  • Strong programming skills in SAS and/or R, with the ability to produce and validate outputs independently.
  • In-depth knowledge of clinical trial design, statistical methodology, and regulatory requirements.
  • Experience in FSP or embedded client roles is advantageous.
  • Self-motivated, detail-oriented, and comfortable working independently and as part of a cross-functional statistics/programming team.

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