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Postgraduate qualification in Statistics (OR Computer Science) from a premier institute
Having hands-on experience on advanced analytics concepts and algorithms (e.g. Regression analysis Logistic Regression/Decision Tree, Monte Carlo methods, Survival Analysis, Simulation, Random Forest, Time series analysis etc.)
Exposure to tools – SPSS, SAS, R, Python
Excellent communication and Client interfacing skills
Excellent critical thinking and problem solving skills
Responsible for utilizing statistical knowledge, programming techniques, and workflow management skills in data management and analysis.
Will collaborate with statistical and medical colleagues on decisions involving data collection methods, writing, and archival, as well as the application of appropriate statistical methods for the analysis under the direction of the statistical consultants.