Clinical data engineering pipeline management: ○ Design, build, and maintain data pipelines that facilitate seamless data ingestion, transformation, and delivery to support AI research projects. ○ Collaborate with cross-functional teams to gather data requirements, understand data sources, and implement data strategies at all stages. ○ Design, develop, and implement dataset analysis and visualization tools. ● Clinical data optimization and integration : ○ Develop preprocessing techniques to clean, normalize, and preprocess raw data, making it suitable for training and analysis. ○ Apply feature engineering methods to extract relevant features that enhance the performance of AI algorithms. ○ Evaluate, select, and integrate appropriate tools and technologies for data storage, processing, and monitoring. ● Scalability and Performance: ○ Optimize data pipelines for scalability and performance, considering factors such as data volume, processing speed, and resource utilization. ● Continuous Improvement: ○ Stay up-to-date with the latest advancements in data engineering, AI research methodologies, and best practices. ○ Continuously seek opportunities to enhance data operations, streamline processes, and improve the overall quality of AI research outcomes. Who are we looking for? ● 1-2 years of experience in a similar DataOps or data engineering role, or prior exposure to comparable responsibilities through an internship. ● Bachelor's degree in computer science or a related field like information science, computer

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