Position Summary
We are seeking a motivated and technically strong statistician to join our DSS team in China. In this role, you will support statistical planning, analysis, and China regulatory interaction/submissions for clinical trials conducted in China and globally. This position is ideal for recent graduates or individuals transitioning into the pharmaceutical industry, who are eager to learn and contribute to meaningful healthcare innovations. You will work under the guidance of experienced statisticians and cross-functional teams to develop hands-on skills in drug development.
Major Job Responsibilities
- With supervision, assist in the development of clinical trial protocols and statistical analysis plans (SAPs) with details for programming implementation.
- Support study design elements such as sample size estimation, randomization strategy, and endpoint definitions
- Assist in identifying scientifically appropriate data collection instruments or fit-for-purpose data sources. With supervision provide programming specifications for derived variables and analysis datasets. Assist Data Science in preparing for database lock
- With supervision perform statistical analyses as per the analysis plan. Collaborate with Statistical Programming to ensure the delivery of high-quality outputs according to agreed-upon timelines.
- With supervision, provide appropriate interpretation of statistical deliverables in collaboration with other functions. Collaborate in publication of scientific research. Ensure accuracy and internal consistency of reports and publications, including tables, listings, and figures.
- Collaborate effectively with both Global and China-based teams, acting as a communication bridge to align statistical deliverables and ensure mutual understanding of clinical and regulatory expectations.
- Participate in local regulatory deliverables including statistical review documentation
- Explore and apply AI-powered tools to solve business problems, increase productivity and improve effectiveness under supervision.