Medical - Real-world Evidence Data Scientist - Shanghai
Sanrafaelvet
Shanghai, China
Not specified
Real-world studies statistical analysis
Data management and statistical analysis
Statistical analysis of real-world data
Sanrafaelvet is seeking a Medical Real-world Evidence Data Scientist in Shanghai to oversee data management and statistical analyses for outsourced real-world studies. The ideal candidate will have a master’s degree in a relevant field, strong analytical skills, and experience with real-world data analysis
Job Summary
To 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.
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.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Matching Summary
Match Score: 85
Sanrafaelvet is seeking a Medical Real-world Evidence Data Scientist in Shanghai to oversee data management and statistical analyses for outsourced real-world studies. The ideal candidate will have a master’s degree in a relevant field, strong analytical skills, and experience with real-world data analysis.
Skills & Requirements
Must-have
Real-world studies statistical analysis
Data management and statistical analysis
Statistical analysis of real-world data
SAS/R/Python proficiency
SAP writing experience
Nice-to-have
Effective English communication skills
Ability to work in a multi-cultural context
Provide statistical leadership
Key Requirements
Master degree in biostatistics/statistics, mathematics, epidemiology
At least 2 years of working experience on observational RWS