**Job Description**
We are seeking a highly motivated and skilled research scientist to conduct cutting-edge research on disease dynamics and epidemiological modeling. The role involves developing and applying mathematical and computational models to understand the transmission, evolution, and control of infectious diseases. The candidate will collaborate with researchers, public health agencies, and stakeholders to provide insights and guidance for disease prevention and intervention strategies, joining the Machine Intelligence Group for the Betterment of Health and the Environment (MIGHTE) led by Prof. Mauricio Santillana.
**Skills & Abilities**
• Strong background and experience in mathematical and computational modeling of infectious disease dynamics, preferably with applications to emerging or re-emerging diseases
• Proficiency in programming languages such as R, Python, MATLAB, C++, or similar tools for data analysis and model development
• Experience in working with large and complex datasets from diverse sources such as surveillance systems, genomic sequences, social media, etc.
• Excellent oral and written communication skills in English, with the ability to convey complex technical concepts to both scientific and non-scientific audiences
• Ability to work independently and collaboratively in a fast-paced and interdisciplinary research environment
**Qualifications**
Required Degree(s) in:
• Mathematics
• Statistics
• Physics
• Computer Science
• Engineering
• Epidemiology
• Related quantitative disciplines
**Experience**
Other:
• Strong background and experience in mathematical and computational modeling of infectious disease dynamics, preferably with applications to emerging or re-emerging diseases
• Experience in working with large and complex datasets from diverse sources such as surveillance systems, genomic sequences, social media, etc.
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