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Senior Manager, Real World Data Science
YOUR TASKS AND RESPONSIBILITIES
Provide technical expertise for designing and delivering RWD studies, ensuring scientifically rigorous methods. Identify analytical problems in RWE and develop data-driven solutions. Serve as an expert and drive the utilization and scaling of data/insight tools and systems.Design and implement data mining and statistical techniques for RWE datasets, ensuring data quality and integrity. Develop and maintain programming macros/tools for efficient support, including their development, implementation, and upkeep.Serve as an expert for system upgrades, proposing and supporting system utilities.Apply machine learning (ML) and artificial intelligence (AI) to extract insights, build predictive models, and align with future technology roadmaps.Contribute to building a robust RWD/RWE environment, including statistical planning and promoting innovative solutions and operational excellence.Stay current on industry advancements in AI/ML and promote their efficient use across teams.Implement data visualization techniques to communicate findings and contribute to developing data-driven healthcare solutions. Collaboration and Communication:Collaborate with cross-functional teams to translate business needs into data analysis specifications and facilitate effective communication of insights. Maintain clear communication with stakeholders to ensure alignment, manage risks, and ensure smooth project progression. Best Practices and Compliance: Uphold best practices in data science, ensuring compliance with ethical standards and efficient documentation.
WHO YOU ARE
Advanced degree in quantitative fields such as statistics, mathematics, computer science, epidemiology, or a related fieldTrack records in leading/managing projects involving cross- functional teams and expertise Desirable Ph.D. in related field and/or qualified medical doctorExperience in one or more of the following areas, including but not limited to Market Access, Commercial, Epidemiology, R&D, Data Science, and/or Medical Affairs (ideally 5 or more years)Familiarity with real-world evidence (RWE), pharmaco-epidemiology, or health outcomes research with proven experience in RWE study designs and methodologies, including innovative techniques. .Basic experience in statistical programming (e.g., R, Python, SAS) or database programming (SQL).Exposure to routinely collected data sources (e.g., claims databases, electronic health records) is a plus.Expertise in areas such assupervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization is a plus.Ability to transform complex technical language into easy-to- understand communication.Proficiency in data storytelling and visualization techniques.Proven experience managing multiple analytic projects concurrently.Strong analytical and problem-solving skills with a proactive attitude.Ability to communicate effectively with both technical and non- technical audiences.Willingness to learn and adapt to new challenges in a fast-pace
YOUR APPLICATION
If your background and personal experience fit this profile, please send us your complete application at www.career.bayer.cn If you have any recommendations, please kindly send mail to cnreferral@bayer.com
Location:
China : BeiJing : BeiJing
Division:
Pharmaceuticals
Reference Code:
836211