Data Scientist-上海（Contract ）

Data Acquisition, Analysis and Modeling: •Collaborate with internal and external partners to acquire, validate, and integrate real-world data from diverse sources. Ensure data quality and integrity, and maintain comprehensive documentation for reproducibility •Design and implement advanced statistical models and machine learning algorithms to extract insights from various real-world data sources, including electronic health records (EHRs), claims data, patient registries, and more. •Analyze complex datasets to identify trends, patterns, and opportunities that can inform product development and market strategies. Support Real-World Studies/Health Outcomes Research: •Design and execute real-world studies to generate real-world evidence, supporting the safety, efficacy, and economic value of products. •Contribute to study design, including defining objectives, selecting appropriate methodologies, and developing analytical plans. •Oversee and perform data curation and cleaning processes to ensure high-quality datasets for analysis. •Collaborate with cross-functional teams to ensure the alignment of study objectives with business and regulatory goals. Insight Generation: •Translate complex analytical results into actionable insights and communicate findings to stakeholders, including research scientists, clinical teams, and commercial partners. •Develop data visualizations and reports that convey the impact of real-world data on clinical and business decisions. Innovation and Improvement: •Stay updated with industry trends and innovations in data science, machine learning, and real-world evidence. •Propose and develop new methodologies to improve data processing and analysis capabilities. Cross-Functional Collaboration: •Work closely with clinical, regulatory, commercial, and technology teams to ensure alignment and integration of data-driven insights into business processes.