Supervisory Computer Scientist

1 month ago


Atlanta, Georgia, United States Centers For Disease Control And Prevention Full time
As a Supervisory Computer Scientist (Data Scientist), you will:
Serve as a Branch Chief, with the full scope of supervisory, managerial, surveillance and data science oversight to staff in the branch
Develop and recommend policies for the execution of programs/systems, determine effectiveness of current programs/systems, and recommend or develop new or revised programs/systems as they relate to preventing or controlling disease, injury, and disability
Supervise a staff of health scientists, epidemiologists, and other professional, technical and administrative staff, utilizing subordinate team leaders to plan, direct, coordinate, or oversee work
Provide leadership to stimulate and encourage scientific, technical and administrative direction of outside professional societies and organizations to expand and diversify research programs
Work closely with a cross-functional team to deliver information technology services and tools for environmental public health purposes
Lead the development of program policy and objectives, short and long-term goals, program strategies, and operating policies
Provide technical advice and assistance on public health information systems within and outside the organization and its constituents and serve as an agency expert in new and emerging information technology tools, platforms and methods
Prepare comprehensive reports that include discussion of substantive issues related to data science methodology for public health surveillance and related applications, assessment of the adequacy and quality of data used in the analyses, and explanation of the methods, results, and relevance to the health issue under study
Provide strategic planning, systems needs assessments, identifying and resolving gaps, describing data standards and data exchange needed across systems, and developing standards for system interoperability
Collaborate with agency, interagency and multilateral organizations to develop standards, tools, and guidance to improve the secure collection and use of public health associated data

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