Data Scientist for Infectious and Non-Communicable Disease Forecasting
hace 2 días
The Barcelona Institute for Global Health (ISGlobal) is a leading research centre addressing global public health challenges through cutting-edge science, policy translation, and education. With a broad portfolio in communicable and non-communicable diseases, including environmental and climate determinants, ISGlobal applies a multidisciplinary approach ranging from the molecular to the population level.
Our institute is accredited with the Severo Ochoa distinction, a seal of excellence awarded by the Spanish Science Ministry. We are currently seeking an enthusiastic post-doctoral researcher with expertise in Data Science and Machine Learning to join our team focused on analyzing weather data and its connections to infectious and non-infectious diseases.
Job DescriptionThis position is central to our innovative project combining weather forecasts, epidemiological models, and machine learning to develop early warning systems for health risks associated with environmental factors. The selected candidate will work within two pioneering platforms: Forecaster-Dot-Health and Famba, which gather health, mobility, and climate data to identify and track emerging infections globally.
The successful candidate will automate the acquisition and processing of weather and climate forecasts, collaborating with scientific teams to leverage these data for health-related studies. This role offers a unique opportunity to apply advanced data science techniques and epidemiological models to weather and climate data, impacting both infectious and chronic disease forecasting.
Required Skills and Qualifications:- PhD in Epidemiology, Biostatistics, or a related field
- Expertise in Data Science and Machine Learning
- Strong programming skills in Python or R
- Experience with weather and climate data analysis
- Competitive salary: €45,000 - €60,000 per annum
- Opportunity to work with a leading research centre
- Collaborative and dynamic work environment
- Professional development opportunities
The selected candidate will work closely with Professors Joan Ballester, Jose Muñoz, and Paula Petrone. Funding for this position comes from the Centro de Excelencia Severo Ochoa 2024-2028 Program, supported by the Spanish Ministry of Science and Innovation and the Spanish Research State Agency.
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