Senior Statistical Analyst – RWE, SAS Programming
Posted 1 day ago
Posted 1 day ago
This is a fully remote position, open to applicants in California, +13 more states.
• Develop and validate datasets for analysis, tables, listings, and figures.
• Assume responsibility for clinical research deliverables and leverage expertise to tackle complex challenges.
• Consistently apply programming standards and specifications.
• Conduct quality control and address data or programming issues as they arise.
• Collaborate effectively with biostatistics, data management, and clinical stakeholders.
• Maintain comprehensive programming documentation and ensure submission readiness.
• Offer technical guidance, peer review, or mentoring on intricate tasks within the discipline.
• Bachelor’s degree in statistics, mathematics, computer science, or a related quantitative field, or equivalent relevant programming experience.
• At least 5 years of experience in statistical analysis within the pharmaceutical, biotechnology, or CRO sectors.
• Proficient in statistical software such as SAS (with R or Python utilized on a more limited basis).
• Familiarity with clinical trial design, statistical methodologies, and regulatory standards.
• Hands-on statistical programming experience in clinical trials using SAS or another suitable statistical programming environment.
• Knowledge of CDISC SDTM and ADaM standards.
• Understanding of clinical trial data, statistical outputs, and validation practices.
• Experience in developing and validating analysis datasets, tables, listings, and figures.
• Background in reviewing colleagues’ work and providing technical guidance on clinical statistical programming.
• Employment is contingent upon possessing the legal right to work in the country where the position is located.
• Competitive base salary along with performance-related incentives.
• Health and wellbeing programs, including medical, dental, and vision coverage where applicable.
• Retirement and pension plans.
• Life assurance and disability coverage.
• Employee assistance programs and wellbeing resources.
• Opportunities for learning and development through structured training and career pathways.
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