Data Engineer, Scientific Data Ingestion

A Data Engineer specializing in Scientific Data Ingestion at Mithrl is responsible for building and maintaining an AI-powered data ingestion and normalization pipeline that processes diverse data types from various sources, including Excel/CSV files and lab exports. This role involves developing schema mapping and data cleaning solutions to ensure that incoming data is transformed into clean, consistent datasets suitable for analysis by the AI Co-Scientist. The engineer collaborates with product teams and bioinformatics experts to enforce data standards and quality control, ultimately ensuring that only reliable data enters the Mithrl platform. The position requires strong expertise in Python and data processing tools, alongside a commitment to end-to-end data quality management.