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Senior Data Engineer, Health & Bioinformatics
Posted 3 days agoViewed
💎 Seniority level: Senior, 5+ years
🔍 Industry: Health & Bioinformatics
⏳ Experience: 5+ years
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.
- 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.
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.
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🔥 Senior Data Engineer, Health & Bioinformatics
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🔍 Health & Bioinformatics
🏢 Company: Gradient AI👥 101-250💰 $20,000,000 Series B almost 4 years agoArtificial Intelligence (AI)Machine LearningInsurTechInsuranceHealth Care
- 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.
- 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.
- 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.
Posted 3 days ago
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