This is a Fall Internship position with the Computational Epidemiology Lab within the Innovation and Digital Health Accelerator (IDHA) to support Global.health. Global.health is a collaborative effort by technologists and researchers to build a trusted, detailed, and accurate resource of real-time infectious disease data during an outbreak, tracking cases for the first 100 days. Our 100 Days Mission aims to provide early situational awareness and fills a critical gap in the continuum of data during outbreaks. By creating a centralized open resource of verified case-level data from around the world, we aim to accelerate the work to better prepare for, respond to, and reduce the burden of global disease outbreaks. This open-source platform offers important insight into infectious disease surveillance efforts.

Key Responsibilities:

• Work closely with project managers, who set the scope, scale, and timeline of outbreak response.
• Compile epidemiological outbreak data from openly accessible sources to create a standardized line-list dataset and integrate other data types including, animal outbreak data, genomic data, wastewater data, climate data, and response.
• Contribute to a sourcing strategy to find trusted media sources and identify, vet, and log relevant outbreak information.
• Apply methods and best practices to ensure high-quality data.
• Assist with project status updates with G.h partner organizations and our community through newsletters and other written and oral communications.
• Provide occasional ad hoc support to other IDHA projects, as needed.

Minimum Qualifications
Education:

• Currently enrolled in an undergraduate or graduate program in epidemiology, statistics, public health or related field at a college/university.

Experience:

• Familiarity in epidemiology, data entry and analysis.
• Technical proficiency in MS Office required; Familiarity with Google Drive, Slack, Github preferred.