Research Statistician

3 weeks ago


Taguig, Philippines Nezda Global Full time

Overview As a Statistician, you will play a key role in the statistical design, analysis, and reporting of clinical research studies. You’ll collaborate with cross-functional teams to ensure high-quality data outputs and provide statistical expertise across study phases. Key Responsibilities Conduct statistical analyses in support of clinical research studies as per statistical analysis plans (SAPs). Prepare and annotate shell data displays, statistical graphics, and TFLs (Tables, Figures, and Listings). Develop statistical sections of study protocols, including sample size calculations and randomization code generation. Provide statistical inputs for analysis datasets and ensure accuracy through thorough quality control. Review study reports, interpret results, and contribute to data-driven insights and recommendations. Collaborate closely with cross-functional teams including data management, programming, and clinical operations. Qualifications Master’s degree in Statistics, Biostatistics , or a related field. 3–5 years of experience in statistical analysis, preferably within clinical research or pharmaceuticals. Strong command of SAS and clinical data analysis tools. Advanced understanding of statistical methodologies and biostatistical principles. Excellent communication skills — able to present complex data clearly to non-statistical audiences. Proficient in MS Word, Excel, and PowerPoint ; experience with project management tools is an advantage. Work Setup & Requirements Hybrid model: 3 days onsite in Taguig, 2 days work from home. Occasional travel (up to 5%) may be required. Collaborative, professional, and supportive work environment with opportunities for continuous learning and development. Why Join Us Be part of an international team driving innovation in clinical research. Gain exposure to diverse projects and global best practices. Enjoy flexibility, learning opportunities, and a performance-driven culture. Apply now and be part of a team where your analytical expertise helps advance scientific research and healthcare outcomes. #J-18808-Ljbffr



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