Data Science & Analytics Lead

JOB TITLE: Data Science & Analytics Lead

POSITION NUMBER: 2608-0085-DSAL

POSITION LOCATION: Atlanta, GA, USA

TRAVEL: As required to fulfill the responsibilities of the position

ASRT is seeking a Data Science & Analytics Lead to provide senior technical leadership for The Center for Disease Control and Prevention (CDC) healthcare-data modernization, advanced analytics, clinical-data interoperability, enterprise data architecture, and data-science strategy. This individual will advise CDC leadership and scientific teams on how to integrate large healthcare datasets, interoperability standards, common data models, cloud technologies, metadata, governance, and advanced analytics into scalable and secure public-health surveillance solutions. This position represents one of the most specialized roles in Task Area 2 and requires a combination of healthcare informatics, data science, interoperability, analytics, and enterprise technology experience

MAJOR DUTIES AND RESPONSIBILITIES

• Lead assessment of CDC data, analytical, and information-system requirements.
• Recommend modern analytical and computational architectures.
• Provide senior guidance on data science, analytics, machine learning, visualization, cloud, and CDC-approved AI approaches.
• Support integration and modernization of data systems and enterprise services.
• Advise on scientific-data curation, metadata, provenance, lineage, governance, and stewardship.
• Design strategies for management and analysis of large healthcare datasets.
• Advise on cloud-based and distributed analytical environments.
• Support development and implementation of enterprise data and metadata standards.
• Provide technical leadership concerning clinical-data interoperability and common data models.
• Guide development, validation, and management of electronic phenotypes and clinical case definitions.
• Support the use of EHR, claims, clinical, pharmaceutical, and commercial healthcare datasets for public-health surveillance.
• Collaborate with CDC technical governance, leadership, epidemiologists, statisticians, and scientific stakeholders.
• Develop roadmaps for enterprise data, analytics, and knowledge-management systems.
• Evaluate technical problems and recommend corrective actions.
• Ensure technical solutions align with CDC enterprise platforms, governance, architecture, and security requirements.
• Support migration from siloed analytical environments into enterprise capabilities where appropriate.