“The incumbent serves as a Team Leader. Leads employees performing two-grade interval professional data science work that requires extraction of knowledge from public health surveillance systems and programs at the local, state and national levels that are structured or unstructured for: analysis; improved understanding and communication; development/visualization of new concepts, and/or processes that add value to health services delivery and the decision-making process.”
“As a Lead Health Scientist (Data Scientist) you will:
- Coach the team in the selection and application of appropriate problem-solving methods and techniques, provide advice on work methods, practices and procedures, and assist the team individual members in identifying the parameters of a viable solution.
- Ensure that the organization’s strategic plan, mission, vision, and values are communicated to the team and integrated into the team’s strategies, goals, objectives, work plans and work products and services.
- Uses current data science methods and tools to plan and conduct research using public health data systems, including survey data, health care facility data, syndromic surveillance data, electronic health records, vital records, and non-traditional data sources such as social media and unstructured web-based data.
- Assists in monitoring data quality issues as they relate to user data products, and collaborates with Informatics and Information Technology professionals to develop automated systems and tools to process, clean, and verify data integrity.
- Consults and collaborates with statistical, data science, artificial intelligence (e.g., machine learning), and public health professionals in the collection, linkage, processing, coding, classification, and analysis of public health surveillance, research, and administrative health data.
Read the full job description here.
G2X TAKE: Those who support the Centers for Disease Control and Prevention may want to influence who applies for this role that collaborates with Informatics and Information Technology professionals to develop automated systems and tools to process, clean, and verify data integrity.
