Module Lead \xe2\x80\x93 Data Statistician ( Job ID : 037155524 )
RWD, RWE, RWA
NA
Full Time
Experience 06.0 - 09.0 years
Offered Salary 20.00 - 25.00
Notice Period Not Disclosed
We have an exciting new opportunity for a Senior Real World Evidence Strategy and Analytics to join our team. In this role, you\xe2\x80\x99ll 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
1) Collaborate on developing Protocol/Statistical Analysis Plan for Real World Evidence (RWE) studies 2) Programming skills SAS (preferred) or R to support execution of RWE studies 3) Statistical background to support RWE studies Experience in RWE analyses (patient longitudinal studies, patient safety studies, etc.) 4) Experience in Real World Data (Healthcare Claims, Electronic Health Records (EHR), Chargemaster Hospital) assetsWe have an exciting new opportunity for a Senior Real World Evidence Strategy and Analytics to join our team. In this role, you\xe2\x80\x99ll 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
1) Collaborate on developing Protocol/Statistical Analysis Plan for Real World Evidence (RWE) studies 2) Programming skills SAS (preferred) or R to support execution of RWE studies 3) Statistical background to support RWE studies Experience in RWE analyses (patient longitudinal studies, patient safety studies, etc.) 4) Experience in Real World Data (Healthcare Claims, Electronic Health Records (EHR), Chargemaster Hospital) assets Collaborate on developing Protocol/Statistical Analysis Plan for Real World Evidence (RWE) studies. \xe2\x80\xa2 Programming skills SAS (preferred) or R to support execution of RWE studies. \xe2\x80\xa2 Statistical background to support RWE studies.
Provide statistical support for design, implementation, running, analysis, and dissemination of results for clinical trials.