Ensure that high quality bio statistical and psychopharmacology support is provided by the Analytics team
Ensure that staff implement innovative, rigorous bio statistical methods to meet study objectives
Lead RWE (Real World Evidence) large scale analytics (LSA) studies. Run statistical programs in R, R shiny, deploy study packages and generate reliable RWE results in TFLs with minimal supervision.
Provide statistical support for design, implementation, running, analysis and dissemination of results for clinical trials
Design and analyze clinical research projects
Create and execute Statistical Analysis Plans
Strong Knowledge in RWE(Real World Evidence) with Bio statistics Background
Experience in creating cohort analysis or Meta analysis or Survival analysis or Bayesian Versus Frequentest Approaches to Clinical Trials
Experience in implementing generalized mixture models, Bayesian mixer models, Fixed-effects and Random-effects models
Knowledge on Statistical Process Control, Stochastic Optimization
Knowledgeable in R or Python programming Skills and shiny web app development
Knowledge on Cloud platform like AWS
Exposure to Healthcare data formats like HL7, OMOP, ODHSI
