
1001 - 5000 employees
Founded 1992
🤝 Non-profit
🏥 Healthcare
🌍 Social Impact
Non-profit • Healthcare • Social Impact
CDC Foundation is a 501(c)(3) nonprofit organization that partners with the U. S. Centers for Disease Control and Prevention (CDC) and a broad network of public-, private-, and community-sector organizations to advance public health locally and globally. Since 1995 it has supported high-impact programs and projects (including emergency responses, global health initiatives, workforce services, maternal/newborn NEST kits, and community health programs), mobilizes funding and partners, and runs fundraising and donor-engagement activities to support research, program delivery, and emergency response. The organization works across state, local, and international settings to expand health programs, strengthen public-health capacity, and translate data and research (including AI collaborations) into public-health action.
🔥 13 hours ago
🇺🇸 United States – Remote
💵 $44 - $64 / hour
⏱ Part Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
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1001 - 5000 employees
Founded 1992
🤝 Non-profit
🏥 Healthcare
🌍 Social Impact
Non-profit • Healthcare • Social Impact
CDC Foundation is a 501(c)(3) nonprofit organization that partners with the U. S. Centers for Disease Control and Prevention (CDC) and a broad network of public-, private-, and community-sector organizations to advance public health locally and globally. Since 1995 it has supported high-impact programs and projects (including emergency responses, global health initiatives, workforce services, maternal/newborn NEST kits, and community health programs), mobilizes funding and partners, and runs fundraising and donor-engagement activities to support research, program delivery, and emergency response. The organization works across state, local, and international settings to expand health programs, strengthen public-health capacity, and translate data and research (including AI collaborations) into public-health action.
• Develop, implement, and improve data analysis and visualization tools for public health decision-making • Analyze diverse public health datasets to identify trends, patterns, and correlations • Apply statistical methods and machine learning algorithms to extract actionable insights • Develop predictive models for disease patterns, risk factors, and intervention strategies • Produce small-population and rural-region estimates and build interactive surveillance dashboards • Provide geospatial analysis support for infectious disease surveillance and epidemiologic investigations • Apply Natural Language Processing to unstructured data for automated processing and case detection • Optimize algorithms for accuracy and performance • Create visualizations and reports and present findings to partners and decision-makers • Collaborate with public health organizations and partners to understand data needs • Provide data-driven guidance for public health policies and initiatives • Provide training and technical assistance to epidemiologists in Power BI, ArcGIS, SAS, and data analysis • Stay current with data science and analytics trends and explore innovative approaches to public health challenges
• Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, or a related field • Minimum 5 years of relevant professional experience • Proficiency in data visualization tools such as Power BI • Proficiency in ArcGIS software suites • Proficiency in statistical packages such as SAS • Proficiency in Python or R • Experience with data manipulation and analysis tools such as SQL • Experience applying Natural Language Processing techniques for text classification or information extraction, preferably on healthcare or public health text data • Experience with small area estimation techniques, Bayesian hierarchical models, or multilevel modeling • Ability to interpret complex datasets and derive meaningful insights • Experience working in a virtual environment with remote partners and teams • Proficiency in Microsoft Office • Must be based in the United States
• Benefits included with the hourly salary • Remote work • Smoke-free environment
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