Key skills
PythonSQLRStatistical Analysis
About this role
Role Overview
- Lead late phase, non-interventional, observational and medical studies
- Transform clinical and Real World Data (RWD) into analysis read datasets
- Generate Tables, Listings and Figures (TLF)
- Ensure analysis is reliable and accurate to support publications, submissions and medical insights
- Work cross-functionally along side the Medical Affairs team
- Programming SDTM and ADaM datasets and working within CDISC standards
- Utilize R Shiny and Python to visualize data
- Clean and manage datasets to maintain compliance and accuracy
Requirements
- Experience working within a clinical trials environment (CRO, pharma or academia)
- Previous experience performing statistical analysis using SAS, SQL & R
- Experience with Python & R Shiny is desirable
- Experience with late phase studies and submissions
Tech Stack
- Python
- SQL
Benefits
- Remote working and flexible working hours
- Career development, mentorship, and continuous learning
- Supportive, friendly, and collaborative culture