Research Informatics Associate

Position Summary
Flexible work arrangements including virtual/hybrid work locations are an integral part of the School of Medicines Working Forward initiative. As such this positions work location is designated as virtual. Please note that the designated work location is subject to change based on the units business needs. The NC TraCS Informatics and Data Science (IDSci) service participates in research informatics innovation initiatives and provides informatics support to the School of Medicine Gillings School of Global Public Health and other health affairs schools. The Research Informatics Associate will support innovative clinical translational and population health research by developing and enhancing research data resources databases and informatics solutions. As a member of the NC TraCS Informatics and Data Science (IDSci) team this position collaborates with investigators clinicians data scientists and research staff to transform complex clinical data into high-quality research-ready assets. The role requires expertise in data engineering data integration and clinical research informatics to build scalable solutions that accelerate scientific discovery support investigator-driven research and ensure compliance with research governance and regulatory requirements. Key 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. This is an exciting opportunity for a data-driven professional who is passionate about advancing clinical research through technology and collaboration. The successful candidate will play a vital role in building the data infrastructure that enables innovative research and improves health outcomes across North Carolina and beyond.

Required Qualifications Competencies And Experience
This position requires three years of work experience working with health care/clinical data in an analytic capacity. Additional requirements include: Experience writing data transformation integration or harmonization processes using SQL Python Azure Data Factory or other tools. Application of this work to research needs is a plus. 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.

Preferred Qualifications Competencies And Experience
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.