Database Developer - Clinical Research

Digital Infuzion - Rockville, MD

Full-time

Rockville, MD

Professional, Scientific, and Technical Services

About the position

The Data Integration Specialist at Digital Infuzion plays a crucial role in advancing clinical research by managing the extraction, transformation, and integration of clinical data from various sources. This position focuses on ensuring high data quality and seamless data flow to support healthcare innovations and improve research outcomes. The role involves collaboration with multiple teams to provide accurate and timely data for impactful decision-making in the healthcare sector.

Responsibilities

• Design and maintain ETL workflows to extract clinical research data from external databases, APIs, and online sources.
• Ensure accurate and timely clinical data integration into internal systems and data warehouses.
• Work closely with clinical researchers, data analysts, and project managers to understand data requirements.
• Implement validation checks, error handling, and performance optimization techniques to maintain high data quality and integrity standards.
• Utilize APIs and manual extraction techniques to pull data from diverse sources, including clinical trial databases and research registries.
• Develop data pipelines using modern ETL tools and cloud-based services.

Requirements

• Bachelor's or Master's Degree in Data Science, Computer Science, Life Sciences, or a related field.
• Proven experience as a Data Integration Specialist or ETL Developer.
• Strong knowledge of ETL tools and technologies, preferably Python-based solutions.
• Experience working with APIs and understanding of web services for extracting clinical data.
• Familiarity with clinical research data standards (e.g., CDISC, HL7) and clinical databases such as EDC systems and CDMS.
• Experience with cloud-based ETL pipelines and services (AWS Glue, Azure Data Factory, etc.).
• Strong problem-solving skills and the ability to troubleshoot complex data integration issues in clinical research.
• Excellent communication and collaboration skills to work effectively with internal teams and external data providers.

Nice-to-haves

• Preferably experienced working in clinical trials or healthcare research environments.
• Experience with automation tools and scripting languages like Python for streamlining data processes.