April 24
• Analyzing and interpreting real-world data to generate valuable insights • Supporting evidence-based decision making in the healthcare industry • Identifying and defining analytical problems related to real-world evidence (RWE) • Designing and implementing data mining and statistical modeling techniques • Preprocessing and cleaning large-scale real-world data • Applying machine learning algorithms and techniques to extract meaningful patterns and insights • Developing predictive models to forecast outcomes and trends based on real-world data • Collaborating with cross-functional teams to interpret and communicate analysis findings to stakeholders • Staying up-to-date with the latest research and advancements in data science and real-world evidence • Implementing data visualization techniques to effectively communicate analysis results • Participating in the development of data-driven products and solutions for the healthcare industry
• Bachelor's degree in data science, computer science, statistics, or a related field; advanced degree preferred • Minimum of 3 years of experience as a Data Scientist, preferably with a focus on real-world evidence (RWE) and the healthcare industry • Strong knowledge of data mining, statistical modeling, and machine learning algorithms • Proficiency in programming languages such as Python or R for data manipulation and analysis • Experience with data visualization tools, such as Tableau or Power BI • Solid understanding of database systems and SQL for data querying and manipulation • Strong analytical and problem-solving skills, with the ability to find insights in complex datasets • Excellent communication and collaboration skills, with the ability to work effectively in a team environment • Experience with healthcare data and familiarization with healthcare data standards is a plus • Understanding of regulatory requirements and ethics related to data analysis in healthcare
• Competitive salary • Health insurance • Retirement plan • Paid time off
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