Senior Data Engineer

Summary

Join Gradient AI, a leading provider of AI solutions for the insurance industry, as a Senior Data Engineer. This fully remote position requires a deep understanding of healthcare data, including claims, clinical, and patient-reported outcomes data, and bioinformatics. You will design, build, and manage data pipelines for our health insurance clients, working with various data sources and ensuring compliance with regulations like HIPAA. The ideal candidate possesses expertise in Python and a strong background in health, medical, and bioinformatics data. Experience with healthcare data standards (e.g., FHIR, HL7) is highly desirable. A subject matter expert (SME) in health and bioinformatics data is essential.

Requirements

• BS in Computer Science, Bioinformatics, or another quantitative discipline; 5+ years of relevant working experience, with a significant portion focused on healthcare data
• Proven experience working with and interpreting health, medical, and bioinformatics data is required, including experience with real-world healthcare datasets
• Expertise as a subject matter expert (SME) in health and bioinformatics data, with a deep understanding of the nuances and challenges associated with processing medical and bioinformatics data, and a strong understanding of the healthcare industry
• Experience working in Python in a professional environment, ideally in a healthcare or life sciences setting

Responsibilities

• Design, build, and implement data systems that fuel our ML and AI models for our health insurance clients, ensuring compliance with healthcare data privacy and security regulations (e.g., HIPAA)
• Develop tools to extract and process diverse healthcare data sources, including electronic health records (EHRs), medical claims, pharmacy data, and genomic data, and create tools to profile and validate data
• Work cross-functionally with data scientists to transform large amounts of health-related and bioinformatics data and store it in a format that facilitates modeling, paying close attention to data quality and integrity in the context of healthcare applications
• Contribute to production operations, data pipelines, workflow management, reliability engineering, and more, with an understanding of the critical nature of data reliability in healthcare settings
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a variety of sources using SQL and AWS ‘big data’ technologies, including experience with healthcare-specific data warehousing and analytics platforms
• Leverage expertise as a health and bioinformatics SME to ensure that data pipelines align with the specific requirements of health, medical, and bioinformatics data processing, including the ability to translate complex medical and biological concepts into data requirements

Preferred Qualifications

Desire to learn new skills and tools (e.g., Redshift, Tableau, AWS Lambda, etc.); bonus for experience with healthcare-specific data analysis and visualization tools

Benefits

This is a fully remote opportunity