Medical - Real-World Evidence Data Scientist - Beijing

JOB PURPOSE:

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 DUTIES AND RESPONSIBILITIES:

• 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;

• From statistical perspectives to 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 after the completion of a primary data collection study, i.e., secondary use of pre-existing medical databases.;

• 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 that are applicable to statistical outputs, and support processes that require statistical input.

• 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.

• Perform other duties, as assigned

REQUIRED EDUCATIONAL BACKGROUND AND JOB-RELATED EXPERIENCE:

• Master degree in biostatistics/statistics, mathematics, epidemiology or relevant fields, with 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

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