machine and deep learning, and statistical modelling.Search and develop new algorithms, methods, statistical models and business models, providing insight into structured and unstructured data.Apply R-based analytical and statistical techniques to solve business problemsApplying data cleaning, wrangling, and analysis techniques using tools like AI, R, Python and Pandas.Developing and managing … data pipelines using tools like AI, R, Python, Bash, and SQL.Essential Requirements: Master’s degree or Ph.D. in data science, biostatistics, or other quantitative field (or equivalent).Experience in clinical drug development with extensive exposure to clinical trials.Strong knowledge and understanding of statistical methods such as time to event analysis ...