
Senior Biostatistician, FSP
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United Kingdom, +3 more countries.
• Deliver statistical assistance for clinical studies.
• Engage in the development of study protocols, discussions on study design, and calculations for sample sizes.
• Evaluate CRFs and data review guidelines; create statistical analysis plans, which include analysis datasets and TLG specifications.
• Conduct statistical analyses and interpret the results obtained.
• Compile clinical study reports, including comprehensive summaries for submissions.
• Present and clarify methodologies and the implications of decisions made.
• Comprehend and adhere to FDA regulations that impact clinical trial data reporting, including good clinical practice and electronic submission guidelines.
• Assist in the creation, upkeep, documentation, and validation of standards for programming tools, outputs, and macros.
• Take part in the development of CRFs, edit check specifications, and data validation strategies.
• Review and/or draft data transfer specifications for data from external vendors.
• Collaborate with both internal and external entities, such as CROs, software vendors, and clinical development partners, to achieve project timelines and objectives.
• Review and/or author SOPs and work instructions pertinent to statistical programming practices.
• Conduct ad-hoc or exploratory analyses to support submissions or inquiries from Health Authorities.
• Provide support for medium-complexity clinical trials from their design phase to archival, while contributing to project-level activities.
• A minimum of a Bachelor's degree in statistics or a related field.
• Over 5 years of experience supporting clinical trials in the Pharmaceutical or Biotechnology sector.
• Experience working with a CRO is highly preferred.
• Proficient in sample size calculation, protocol concept development, protocol drafting, SAP preparation, and compiling clinical study reports, including comprehensive summaries for submissions.
• Strong SAS programming skills for quality control of critical outputs, Efficacy/Safety tables, and collaboration with Programmers. Familiarity with R programming is advantageous.
• Comprehensive understanding and application of CDISC requirements for regulatory submissions.
• Skilled in generating ADaM specifications and quality checking datasets.
• Capable of establishing robust relationships with both external and internal stakeholders while motivating a regional or global team.
• Strong communicator able to articulate methodologies and the implications of decisions in layman’s terms.
• Ongoing training, development, and support.
• Significant opportunities for professional growth.
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