Clinical Data Engineer

Purpose

The Clinical Data Engineer will be an individual contributor to the Medical Affairs department. The role will encompass the development andpipeline management and curation of clinical datasets for internal reports, external presentations,manuscript sand publications, and to inform futureclinicaltrial design.

• Develop andmaintainELT/ETLpipelines fordaily and weekly electronic health record(EHR) data extracts.
• Migrate structuredCSVdata into databases/data warehouse/datalake to enable efficient querying
• Develop dashboards fortrackingthe performance and effectiveness of theIntelli
  
  Sep solution in improving clinical outcomes, operational efficiency, and financial performance and provide insights into customer-related metrics and the potential impact on patient outcomes and hospital reimbursement.
• Standardizetablesanddata artifacts towardsa canonicaldataschema.
• Develop documentation and methodologies for infrastructure.
• Handle protected health information (PHI) and other sensitive clinical datain accordance withHIPAA and Cytovale'sdata privacy and security policies, ensuring data integrity, traceability, and appropriate access controls throughout the data pipeline.
• Maintain version control for code and data.
• Support quality improvement activities for customers by building systems and tools for post-implementation data analysis

• Bachelor’s degree in computer science,electrical engineering,or related field.
• 3+ yearsof industry related experience, ideally workingwithEHR or clinical data.
• Strong analytical skills with the ability to interpret and present data effectively.
• Familiarity with AWS, GCP, Azure, or other cloud computing providers (AWS preferred); experience withdbt, or similar transformation tools, is a plus.
• Working knowledge of HIPAA and PHI-handling requirements, with experience implementing data privacy, security, and integrity controls in a healthcare or clinical data environment.
• Candidate must be able to function as an individual contributor withminimaldirect oversight.
• A passion for understanding complex issues with a data driven approach,experimenting and iterating on different waysto solve a problem.

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