Research Informatics Associate

Summary

The University of North Carolina at Chapel Hill is a higher education and research institution focused on teaching, public service, patient care, and health sciences research. The Research Informatics Associate supports clinical, translational, and population health research by developing research databases, data resources, and informatics solutions, integrating complex clinical data, collaborating with multidisciplinary teams, and ensuring compliance with governance and regulatory requirements.

Responsibilities

• Design, develop, and maintain large-scale clinical-data centric research databases and informatics resources that support clinical and health research
• Build and optimize data integration, transformation, and harmonization processes to combine data from disparate data sources (e.g., electronic health data from multiple sites, claims data)
• Collaborate with multidisciplinary research teams to translate scientific objectives into scalable data and technology solutions
• Manage multiple informatics projects while developing documentation, technical standards, and reproducible workflows
• Contribute informatics expertise to grant proposals, manuscripts, presentations, and other research dissemination activities
• Ensure adherence to institutional policies and regulatory requirements related to data governance, security, confidentiality, and HIPAA compliance

Skills

• Master's or Bachelor's and 0-2 years' experience; or will accept a combination of related education and experience in substitution
• This position requires three years of work experience working with health care/clinical data in an analytic capacity
• Experience writing data transformation, integration, or harmonization processes using SQL , Python, Azure Data Factory, or other tools
• Experience creating and managing batch jobs, scheduled tasks, or automated workflows
• Expert-level knowledge of SQL programming, data modeling, and relational database systems such as Oracle, Microsoft SQL Server, MySQL, etc., especially applying these skills to research data uses
• Experience with at least one of the following data models: OMOP , PCORnet, Epic Clarity, Epic Caboodle, UNC Carolina Data Warehouse
• Experience with an enterprise data model for a large health system will also suffice
• Excellent independent work function with ability to manage multiple projects at once while delivering high-quality work on time
• Strong written and oral business communication skills and the ability to clearly convey technical concepts to non-technical research collaborators
• Working hours are Monday – Friday, 8:00 am – 6:00 pm EST , with flexibility available within that window
• Application of this work to research needs is a plus
• Experience working with health care data in an academic research environment
• Additional programming competencies outside of SQL , such as R, Python, or Java
• Demonstrable understanding of regulations around clinical data used for research purposes, particularly HIPAA and Institutional Review Board rules
• Strong troubleshooting and data investigation skills
• Expert knowledge of utilizing health care vocabularies ( ICD , CPT , RxNorm, SNOMED etc.) and/or OMOP vocabulary/concept tables
• Experience working any of the following health-related data types: claims data, clinical notes, imaging data, waveform data, etc
• Experience working with Azure Data Factory, MS Fabric and Fabric Pipelines, or Databricks

Qualifications

Must Haves

• Master's or Bachelor's and 0-2 years' experience; or will accept a combination of related education and experience in substitution
• This position requires three years of work experience working with health care/clinical data in an analytic capacity
• Experience writing data transformation, integration, or harmonization processes using SQL , Python, Azure Data Factory, or other tools
• Experience creating and managing batch jobs, scheduled tasks, or automated workflows
• Expert-level knowledge of SQL programming, data modeling, and relational database systems such as Oracle, Microsoft SQL Server, MySQL, etc., especially applying these skills to research data uses
• Experience with at least one of the following data models: OMOP , PCORnet, Epic Clarity, Epic Caboodle, UNC Carolina Data Warehouse
• Experience with an enterprise data model for a large health system will also suffice
• Excellent independent work function with ability to manage multiple projects at once while delivering high-quality work on time
• Strong written and oral business communication skills and the ability to clearly convey technical concepts to non-technical research collaborators
• Working hours are Monday – Friday, 8:00 am – 6:00 pm EST , with flexibility available within that window

Nice to Haves

• Application of this work to research needs is a plus
• Experience working with health care data in an academic research environment
• Additional programming competencies outside of SQL , such as R, Python, or Java
• Demonstrable understanding of regulations around clinical data used for research purposes, particularly HIPAA and Institutional Review Board rules
• Strong troubleshooting and data investigation skills
• Expert knowledge of utilizing health care vocabularies ( ICD , CPT , RxNorm, SNOMED etc.) and/or OMOP vocabulary/concept tables
• Experience working any of the following health-related data types: claims data, clinical notes, imaging data, waveform data, etc
• Experience working with Azure Data Factory, MS Fabric and Fabric Pipelines, or Databricks

Benefits

• Professional training opportunities for career growth, skill development and lifelong learning
• Exclusive perks for numerous retail, restaurant and performing arts discounts
• Savings on local child care centers
• Special rates on select campus events
• A comprehensive benefits package
• Paid leave
• Health plans
• Life plans
• Retirement plans
• Additional programs that support a healthy work/life balance
• Flexible work arrangements, including virtual/hybrid work locations
• This is a Remote Position
• Flexibility available within the Monday–Friday, 8:00 am–6:00 pm EST working-hours window