Job Overview
JOB SUMMARY
Provide end-to-end coordination of development of MROQCs data collection and management tools in support of clinical quality improvement; lead the planning, design, development, implementation, maintenance, and evaluation of MROQC’s data, reports, and automated data collection systems; work with stakeholders, team members, and end users to identify and understand MROQC’s end-to-end clinical data collections needs, challenges and opportunities; liaise with stakeholders to define and document MROQC’s data collection business needs and technical requirements; develop in-depth understanding of MROQC member hospitals’ clinical data collection and reporting processes; lead the conduct of analyses and functional design activities for capturing, loading, storing, and extracting data across MROQC; develop reports and definitions, graphs, dashboards, and portal interfaces; translate stakeholder needs and requirements into detailed technical specification documents to develop and maintain processes and tools for both manual and automated data collections; collaborate with internal teams & external vendors on design, implementation, testing, and deployment of technical data collection specifications; participate in project planning and scope creation, project communications and status reporting; and serve as MROQC’s data collection subject-matter expert and point of contact for troubleshooting and technical support. Up to 75% remote work from home.
Required Qualifications*
Master’s degree in Health Informatics, Data Science, or related + 2 yrs experience working with large datasets, including administrative claims data, to analyze and interpret clinical outcomes data utilizing SAS or Python & Power BI; programming relational databases, complex data structure, and linkages between data sources; creating data visualizations and reports using SAS, Python, and Power BI; & drafting statistical tests to solve analytic problems, including using descriptive statistics, linear regression, logistic regression, survival analysis, mixed models with repeated measures, multi-level modeling, and conjoint analysis. Background check and drug screen required upon offer acceptance.
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