Research Informatics Developer - 249820

Position Overview

This position plays a critical role in supporting clinical and translational research by leading customer engagement, translating research needs into technical solutions, and delivering high-quality data resources. The role works closely with faculty, study teams, and technical staff to ensure timely, accurate, and mission-aligned data delivery. As a core member of a high-performance team, the individual in this role ensures that data pipelines are consistently and reliably maintained and that analytics capabilities are delivered at an optimal level. This work enables the organization to identify meaningful research insights from large and diverse datasets.

Key Responsibilities

• Lead the scoping and documentation of clinical research data requests, ensuring clarity, feasibility, and alignment with organizational objectives.
• Translate clinical and research requirements into actionable technical specifications, including SQL queries and data model designs.
• Design, build, and maintain data resources such as relational databases, data marts, data lakes, and flat files (e.g., CSV) to support research activities.
• Write, test, and optimize SQL queries to extract and transform data; participate in code reviews and ensure data accuracy and integrity.
• Execute data requests within defined scope and timelines, maintaining responsiveness to a one-business-day service level agreement (SLA).
• Identify and resolve data anomalies, validate new data sources, and troubleshoot data quality issues to ensure reliable outputs.
• Provide flexible, on-demand data analysis to support research questions and organizational decision-making.
• Contribute to standardized documentation and best practices, including writing technical specifications and job aids.
• Research and evaluate new tools, technologies, and data sources to enhance research capabilities and inform future development.

Required Qualifications

• Education: Bachelor’s degree in a health science–related field (e.g., biostatistics, epidemiology), a technology field (e.g., computer science, engineering), or a related discipline from an accredited institution.
• Experience Required: Minimum of two (2) years of experience writing reports against enterprise data warehouses.
• Experience Required: Minimum of two (2) years of experience reporting on healthcare data using Epic data warehouses (Clarity or Caboodle) preferred.
• Experience Required: Minimum of two (2) years of experience using standardized clinical code systems (e.g., ICD-10, SNOMED CT, LOINC, RxNorm, UMLS) and common data models (e.g., OMOP).
• Experience Required: Minimum of two (2) years of experience in a healthcare reporting or biomedical research environment, including data profiling, data quality assessment, data analysis/reporting, and dataset curation.
• Experience Required: Minimum of two (2) years of SQL programming experience.