Data Statistician (Real World Evidence)


Ismile Technologies
Cork, DUBLIN
Ireland

Category

Job Description
Data Statistician
Ireland
Long term contract


Educational Qualification:
Bachelor Degree in computer Science

JD/Description of Role:
We have an exciting new opportunity for a Senior Real World Evidence Strategy and Analytics to join our team. In this role, you’ll be responsible for providing biostatistical support and guidance on RWE studies and may serve as the responsible RWE biostatistician on several RWE projects in different indications. Primary responsibilities include
• Ensure that high quality biostatistical and pharmacoepidemiology support is provided by the Analytics team
• Ensure that staff implement innovative, rigorous biostatistical 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.
Primary (Must have skills):
• 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 of probability distributions, statistical methods in clinical trials, hypothesis testing, sampling techniques, simulation techniques and packages, bias, types of bias, variance, descriptive and inferential statistics
• Experience in creating cohort analysis, Meta analysis, Survival analysis, Bayesian Versus Frequentist 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
• Excellent R programming Skills and shiny web app development
Secondary Skills (Good To have):
• Knowledge on Cloud platform like AWS
• Exposure to Healthcare data formats like HL7, OMOP, ODHSI
• Exposure to RWE, RWA, RWD
• Experience with data sources like registries, EMR
Job Requirements
Data Statistician
Ireland
Long term contract


Educational Qualification:
Bachelor Degree in computer Science

JD/Description of Role:
We have an exciting new opportunity for a Senior Real World Evidence Strategy and Analytics to join our team. In this role, you’ll be responsible for providing biostatistical support and guidance on RWE studies and may serve as the responsible RWE biostatistician on several RWE projects in different indications. Primary responsibilities include
• Ensure that high quality biostatistical and pharmacoepidemiology support is provided by the Analytics team
• Ensure that staff implement innovative, rigorous biostatistical 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.


Primary (Must have skills):
• 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 of probability distributions, statistical methods in clinical trials, hypothesis testing, sampling techniques, simulation techniques and packages, bias, types of bias, variance, descriptive and inferential statistics
• Experience in creating cohort analysis, Meta analysis, Survival analysis, Bayesian Versus Frequentist 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
• Excellent R programming Skills and shiny web app development


Secondary Skills (Good To have):
• Knowledge on Cloud platform like AWS
• Exposure to Healthcare data formats like HL7, OMOP, ODHSI
• Exposure to RWE, RWA, RWD
• Experience with data sources like registries, EMR
Employer
Ismile Technologies
Prasad K


Ireland