Medical - Real-world Evidence Data Scientist - Shanghai
Sanofi UK
Shanghai, China
Real-world studies statistical analysis
Statistical analysis of real-world data
Sas/r/python proficiency
Supervise and provide inputs to data management and statistical analyses for outsourced real-world studies (RWS) and take a leading statistical role for RWS with in-house datasets
Job Summary
Supervise and provide inputs to data management and statistical analyses for outsourced real-world studies (RWS) and take a leading statistical role for RWS with in-house datasets.
Interact with CRO to supervise and provide inputs to data management and statistical analyses and ensure timeliness and quality of statistical deliverables according to agreement in assigned projects.
Continuously assess the growth and accessibility of external real-world data assets, evaluate data quality and fitness-for-purpose, and develop compliant and efficient engagement models with data providers to enable robust RWE generation across TAs.
Matching Summary
Supervise and provide inputs to data management and statistical analyses for outsourced real-world studies (RWS) and take a leading statistical role for RWS with in-house datasets.
Skills & Requirements
Must-have
Real-world studies statistical analysis
Statistical analysis of real-world data
SAS/R/Python proficiency
Data management supervision
SAP writing experience
Nice-to-have
Cross-functional team leadership
Effective English communication
Multi-cultural work environment
Data quality evaluation
Key Requirements
Master degree in biostatistics/statistics, mathematics, epidemiology
At least 2 years of working experience
Experience on observational RWS preferable
Strong analytic skills for real-world data
Ability to work effectively in a multi-cultural context