Data Scientist, Health Programs

The Carter Center

About the organization

The Carter Center is a 501(c)(3), not-for-profit, nongovernmental organization founded in 1982 in Atlanta, GA, by former U.S. President Jimmy Carter and his wife, Rosalynn, in partnership with Emory University. The Center has helped to improve millions of lives in more than 80 countries by waging peace, fighting disease, and building hope. The Carter Center is guided by a fundamental commitment to human rights and the alleviation of human suffering. It seeks to prevent and resolve conflicts, enhance freedom and democracy, and improve health.

The Carter Center collaborates with other organizations, public or private, in carrying out its mission around the world. Current information about the Center’s many programs and activities are available at The Carter Center.


The Data Scientist provides overall technical leadership and guidance to support the effective use of data across Health Programs activities. He/she leads a team of data analysts and data management staff to meet Health program’s needs. The Data Scientist provides strategic direction and guidance to facilitate the collection, management, analysis and visualization of data; provides training for Health program staff on key concepts, methods, and technology tools; identifies opportunities for cross-programmatic learning and knowledge sharing within Health and across the institute; establishes and maintains relationships with external partners and consultants to support project design and implementation, and liaises with IT and Health program staff to ensure projects are implemented in accordance with Carter Center policies and procedures and relevant laws and regulations.



-Knowledge about global health programs, preferably Neglected Tropical Diseases and programmatic activities to control them and improve global mental health.
-Proficiency in coding languages (e.g., R, Python, and TSQL/ postgrSQL).
-Experience applying spatial statistical methods, image processing methods, and machine learning tools and techniques.
-Experience with APIs, business intelligence, and data visualization tools (experience WebGIS, RShiny, and/or Microsoft Power BI highly preferred).
-Experience with Microsoft Azure Cloud environment and services.
-Familiarity with data protection and privacy, data ethics, and data governance issues.
-Strong, demonstrated skills in writing and presentation of findings and analyses.
-Experience working with large structured and unstructured datasets.


-A master's degree in data science, statistics, analytics or related areas, and ten years of related experience, OR an equivalent combination of experience, education, and training.
-Prior experience serving as subject matter expert to provide the strategic direction for the programs approach to analyzing and managing its data.

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