Senior Clinical Research Informatic Analyst - Alzheimers Disease Center

Design and execute queries to extract data from the electronic medical record (Epic). Work with Clarity, Caboodle, FHIR, or other relevant data sources to retrieve structured data. Identify and access relevant unstructured data sources to support NLP efforts. Build and maintain reproducible data pipelines that transform raw clinical data into research-ready datasets. Develop and maintain datasets aligned with

BHCA R01

aims (diagnosis rates, staging, biomarker use, referrals, etc.). Create and maintain a data dictionary and clear definitions for all metrics. Ensure alignment between extracted data and study definitions (e.g., ADRD case identification, cognitive measures). Support data validation processes, including chart review workflows and quality checks. Design and build dashboards to track BHCA performance across key domains such as training completion, adoption and diagnosis, and referrals and care pathways. Ensure dashboards are accurate, interpretable, and updated regularly. Work with program leadership to refine dashboards based on evolving needs. Prepare datasets for analysis aligned with RE-AIM and CFIR frameworks. Support survey and qualitative data integration where applicable. Collaborate with biostatistics and implementation science teams to ensure data readiness for analysis. Serve as the primary point of contact for BHCA data needs. Troubleshoot data issues and gaps as they arise. Support rapid cycle learning by providing timely data to inform program adjustments. Two (2) years of experience working with clinical or healthcare data. Relevant education may be substituted on a year for year basis. Experience building datasets for research or operational reporting. Experience developing dashboards (e.g., Tableau, Power BI, or similar tools). Experience with data integrity, quality assurance, and validity of analyses. Experience translating data into actionable insights to inform clinical or operational decision-making. Bachelor's degree in informatics, data science, public health, biostatistics, or related field. American Medical Informatics Association

• Health Informatics Certification American Board of Preventive Medicine
• Clinical Informatics. Healthcare Information and Management Systems Society
• Certified Professional in Healthcare Information and Management Systems.

EPIC Systems Certification. Three (3) years of experience working with clinical or healthcare data. Experience with electronic medical record data structures (preferably Epic). Experience working with FHIR or other healthcare data standards. Experience supporting NLP or working with unstructured clinical data. Experience in implementation science or clinical research workflows. Experience adapting analytic or data approaches to accommodate real-world clinical and operational constraints. Experience using SQL, R, Python, Shiny, or similar. Experience working at the intersection of clinical care and research, with real-world clinical workflows. Communication skills Technical communication Project management Detail oriented Data integrity Quality assurance Analytical thinking https://www.kumc.edu/human-resources/benefits.

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