Clinical Data Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Cytovale

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🏥 Healthcare

🧬 Biotechnology

🔧 Hardware

💰 Venture Round - CytoVale on 2025-04

Healthcare • Biotechnology • Hardware

Cytovale is a medical diagnostics company that develops and commercializes IntelliSep, an FDA-cleared rapid in vitro diagnostic test and accompanying medical device that risk-stratifies adult emergency department patients for sepsis by analyzing biomechanical properties of white blood cells and immune activation, delivering results in about 8 minutes to accelerate treatment and improve clinical and operational outcomes. The company serves physicians, nurses, laboratorians, and hospital administrators and emphasizes real-world evidence showing reduced mortality, shorter stays, and improved ED throughput.

📋 Description

• Develop and maintain ELT/ETL pipelines for daily and weekly electronic health record (EHR) data extracts • Migrate structured CSV data into databases, data warehouses, or data lakes for efficient querying • Develop dashboards tracking IntelliSep’s performance and effectiveness in improving clinical outcomes, operational efficiency, and financial performance • Provide insights into customer-related metrics, potential patient-outcome impact, and hospital reimbursement • Standardize tables and data artifacts toward a canonical data schema • Develop infrastructure documentation and methodologies • Handle protected health information (PHI) and sensitive clinical data according to HIPAA and Cytovale privacy and security policies • Ensure data integrity, traceability, and appropriate access controls throughout the data pipeline • Maintain version control for code and data • Build systems and tools for customers’ post-implementation data analysis and quality improvement activities

🎯 Requirements

• Bachelor’s degree in computer science, electrical engineering, or a related field • 3+ years of industry-related experience, ideally with EHR or clinical data • Proficiency in Python, SQL, Bash, and Git • Strong analytical skills and ability to interpret and present data effectively • Familiarity with AWS, GCP, Azure, or other cloud computing providers; AWS preferred • Experience with dbt or similar transformation tools is a plus • Working knowledge of HIPAA and PHI-handling requirements • Experience implementing data privacy, security, and integrity controls in a healthcare or clinical data environment • Ability to function as an individual contributor with minimal direct oversight • Data-driven approach to understanding complex issues, experimenting, and iterating on solutions • Valid U.S. work authorization without requiring employer sponsorship