Medical - Real-World Evidence Data Scientist - Shanghai

<p><b>JOB PURPOSE:</b></p><p>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.</p><p></p><p><b>JOB DUTIES AND RESPONSIBILITIES:</b></p><ul><li><p>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;</p></li><li><p>From statistical perspectives to advise internal Medical team on study design, data management, statistical analysis, interpretation of statistical results, and publications;</p></li><li><p>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;</p></li><li><p>Align with stakeholders on planning, delivering and communicating statistical analyses, data presentations, scientific reports, and publications;</p></li><li><p>Comply with all statistics and quality processes and standards that are applicable to statistical outputs, and support processes that require statistical input.</p></li><li><p>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;</p></li><li><p>Perform other duties, as assigned.</p></li></ul><p></p><p><b>REQUIRED EDUCATIONAL BACKGROUND AND JOB-RELATED EXPERIENCE:</b></p><ul><li><p>Master degree in biostatistics/statistics, mathematics, epidemiology or relevant fields, with at least 2 years of working experience preferable on observational RWS;</p></li><li><p>Strong analytic skills of analyzing real-world data (including big electronic medical datasets);</p></li><li><p>Proficient in using statistical software (SAS/R/Python);</p></li><li><p>SAP writing experience;</p></li><li><p>Ability to work effectively in a multi-cultural context as a good team member;</p></li><li><p>Great potential/Capability to provide statistical leadership to cross-functional teams at the study level;</p></li><li><p>Effective English communication skills in relating to colleagues and associates both inside and outside the organization;</p></li><li><p>Ability to communicate in a credible and confident manner.</p></li></ul><p style="text-align:inherit"></p><p style="text-align:inherit"></p><h1>Pursue <i>progress</i>, discover <i>extraordinary</i></h1><p>Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.</p><p></p><p>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.</p><p></p><p>Watch our <a href="https://www.youtube.com/watch?v&#61;SkpDBZ-CJKw&amp;t&#61;67s" target="_blank">ALL IN video</a> and check out our Diversity Equity and Inclusion actions at <a href="https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness" target="_blank">sanofi.com</a>!</p>