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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.
Job Responsibility:
Supervise and provide inputs to data management and statistical analyses for outsourced real-world studies (RWS)
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
Advise internal Medical team on study design, data management, statistical analysis, interpretation of statistical results, and publications
Perform programming and analytical activities for data cleaning and statistical deliverables in post-hoc analyses
Align with stakeholders on planning, delivering and communicating statistical analyses, data presentations, scientific reports, and publications
Comply with all statistics and quality processes and standards
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
Perform other duties, as assigned
Requirements:
Master degree in biostatistics/statistics, mathematics, epidemiology or relevant fields
At least 2 years of working experience preferable on observational RWS
Strong analytic skills of analyzing real-world data (including big electronic medical datasets)
Proficient in using statistical software (SAS/R/Python)
SAP writing experience
Ability to work effectively in a multi-cultural context as a good team member
Great potential/Capability to provide statistical leadership to cross-functional teams at the study level
Effective English communication skills in relating to colleagues and associates both inside and outside the organization
Ability to communicate in a credible and confident manner