Postdoctoral Epidemiologist: Data-Driven Health Risk Prediction

hace 1 semana


Barcelona, Barcelona, España Isglobal A tiempo completo

Company Overview
The Barcelona Institute for Global Health (ISGlobal) is a leading research institute addressing global public health challenges through cutting-edge research, policy translation, and education. With a broad portfolio in communicable and non-communicable diseases, ISGlobal applies a multidisciplinary scientific approach to tackle complex health issues.

Salary
We offer a highly competitive salary of €43,000 - €50,000 per year, depending on experience, to support the successful candidate in achieving their goals.

Job Description
In the framework of our Centre for Excellence Severo Ochoa Programme, we are seeking an enthusiastic post-doctoral epidemiologist with expertise in Data Science and Machine Learning to join our team. The selected candidate will play a pivotal role in developing early warning systems for health risks associated with environmental factors using weather forecasts, epidemiological models, and machine learning.

Required Skills and Qualifications
The ideal candidate should possess:

  • A Ph.D. in Epidemiology, Biostatistics, or a related field
  • Expertise in Data Science and Machine Learning
  • Strong programming skills in languages such as Python or R
  • Familiarity with data visualization tools and libraries
  • Excellent communication and teamwork skills

Benefits
As a postdoctoral researcher at ISGlobal, you will have access to:

  • A state-of-the-art research environment
  • Opportunities for professional growth and development
  • A dynamic and international work setting
  • A generous benefits package, including health insurance and retirement plan

Others
The postdoctoral researcher will work closely with Prof. Joan Ballester, Prof. Jose Muñoz, and Prof. Paula Petrone to leverage data-driven insights for health-related studies. This is a unique opportunity to apply advanced data science techniques and epidemiological models to impact both infectious and chronic disease forecasting.



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