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Description:About Winship Cancer Institute of Emory University
Dedicated to discovering cures for cancer and inspiring hope, Winship Cancer Institute of Emory University is Georgia’s only National Cancer Institute-designated Comprehensive Cancer Center, a prestigious distinction given to the top tier of cancer centers nationwide for making breakthroughs against cancer. Winship is researching, developing, teaching, and providing novel and highly effective ways to prevent, detect, diagnose, treat, and survive cancer. Cancer care at Winship includes leading cancer specialists collaborating across disciplines to tailor treatment plans to each patient’s needs and type of cancer; innovative therapies and clinical trials; comprehensive patient and family support services; and a personalized care experience aimed at easing the burden of cancer. Winship is Where Science Becomes Hope®. For more information, visit winshipcancer.emory.edu.
Winship is seeking qualified candidates for the Research Informatics Analyst position. Position details are as follows:
Winship Data and Technology Shared Resource seeks a highly motivated Research Informatics Analyst to support cancer‑focused translational, clinical, and population research across Winship Cancer Institute. This position serves as a key component of the shared resource infrastructure, providing centralized informatics and analytic expertise to investigators conducting cancer research across discovery, translational, and clinical domains.
The primary responsibility of this role is engineering scalable and reusable analytic datasets that support research reporting, cohort identification, feasibility analyses, and advanced analytics, with dedicated support for the Myeloma Research Team. The Research Informatics Analyst designs curated data models, develops optimized and maintainable SQL logic, and produces standardized data extracts that enable consistent downstream use across research and analytic workflows. The role leverages Epic analytics certifications and training grounded in Epic Cogito, with preferred experience aligned to Epic data environments such as Clarity, Caboodle, and Cosmos, as well as experience supporting automation, machine learning, and emerging data science initiatives.
The ideal candidate will bring substantial experience working with complex clinical and research datasets, and will contribute to project feasibility analyses, aggregate‑level reporting, dashboarding, and the development of reproducible, well‑documented analytic workflows. This position operates within a regulated research environment and requires familiarity with data governance, privacy, regulatory requirements, and best practices that ensure rigor, transparency, and responsible data use within cancer research.
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