Statistical Programming

Responsible for developing, testing, and maintaining statistical software applications and systems. The role may involve tasks such as writing code to perform statistical analyses, creating data visualizations, and automating complex processes. Additionally, the Statistical Programming may be responsible for working with statistical and clinical experts to understand their needs, writing and maintaining technical documentation, and troubleshooting software issues. Analyzing and Programming of Clinical Trials data Test data equivalent to Clinical Trial data will be provided and the candidates are to analyze & report their findings. The project scope is to understand the drug development process; it's evolution into modern day methods of drug design. This gives the insight on the various components like the clinical trial protocol, informed consent form, case report form, and all regulatory submissions for IND application and NDA applications. It is important to have a strong background in statistics, computer science, or a related field, as well as experience with statistical software and programming languages such as SAS, R, or Python. Good analytical and problem-solving skills, as well as the ability to work effectively in a team environment, are also important. Familiarity with clinical trial processes and regulations, as well as experience with data management and analysis, is a plus.