Senior Data Engineer
Rad AI- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor’s degree in Computer Science, Bioinformatics, or a related quantitative discipline, along with 7+ years of experience working with and interpreting health, medical, and bioinformatics data, including real-world healthcare datasets. Subject matter expertise (SME) in health and bioinformatics data, with a strong grasp of the complexities and challenges of processing medical and biological information is required, alongside knowledge of healthcare data standards (e.g., FHIR, HL7) and a solid understanding of healthcare data privacy and security regulations (such as HIPAA). Proficiency in Python and SQL within a professional environment is also necessary.
The Senior Data Engineer will design, build, and implement data systems to support ML and AI models for health insurance clients, ensuring strict compliance with healthcare data privacy and security regulations. They will develop tools for extracting, processing, and profiling diverse healthcare data sources, including EHRs, medical claims, pharmacy data, and genomic data. This role involves collaborating with data scientists to transform large volumes of health-related and bioinformatics data into modeling-ready formats, prioritizing data quality, integrity, and reliability in healthcare applications. Furthermore, they will build and maintain infrastructure for the extraction, transformation, and loading (ETL) of data from a variety of sources using SQL, AWS, and healthcare-specific big data technologies and analytics platforms, and apply health and bioinformatics subject matter expertise to ensure data pipelines meet the unique requirements of health, medical, and bioinformatics data processing.
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