Statistician for Non-Communicable Diseases and Environment Research Programme
Instituto de Salud Global de Barcelona (ISGlobal)
Barcelona - Campus Mar
hace 3 días


The Barcelona Institute for Global Health (ISGlobal) is a cutting-edge institute addressing global public health challenges through research, translation into policy and education.

ISGlobal has a broad portfolio in communicable and non-communicable diseases including environmental and climate determinants, and applies a multidisciplinary scientific approach ranging from the molecular to the population level.

Research is organized in three main areas, Malaria and other Infectious Diseases, Child and Maternal Health, and Urban Health, Climate & Non-Communicable Diseases.

ISGlobal is accredited with the Severo Ochoa distinction, a seal of excellence of the Spanish Science Ministry.


Barcelona - Campus Mar

What we are looking for

ISGlobal is seeking a statistician / data scientist to join our dynamic team. The statistician will be involved in exciting projects related to physical activity / mobility, sleep behavior, urban environments and health, with a strong focus on respiratory health and idiographic analyses.

The statistician will work with large datasets from multiple sources : clinical data with repeated measurements, environmental exposure data (e.

g., residential air pollution), data from activity monitors including high-resolution time series data, among other data sources.

The role requires close collaboration with international project partners from a range of disciplines as well as researchers at ISGlobal.

The successful applicant will be supervised by Non-Communicable Diseases and Environment Programme Head Dr Judith Garcia-Aymerich, Research Professor, and eHealth Group Leader Dr Guillaume Chevance, Assistant Research Professor.

Training and Experience

  • Higher education in Biostatistics or similar.
  • Knowledge of theoretical and applied statistics.
  • Programming using the main statistical tools and software in R and Stata.
  • Experience with mixed models for repeated measures data, use of quantitative methods, time series analysis and interpretation of longitudinal and intensive-longitudinal data derived from large cohort studies or single participants followed over extended period of time.
  • Experience in Data-management
  • Key Responsibilities

  • Perform data cleaning and management
  • Perform statistical analysis of longitudinal observational data, in particular time-series data and longitudinal cohort data.
  • Provide statistical support to the researchers of the team.
  • Additional responsabilities

  • Contribute to scientific publications, reports, and grant applications.
  • Participate to protocol writing and statistical analysis plan elaboration.
  • Skills

  • Proficient use of statistical software R and STATA
  • Good verbal and written communication skills
  • Critical thinking skills and ability to work independently.
  • Excellent organizational skills and comfortable working in a multi-disciplinary, multi-cultural team.
  • Good level of the English (written and spoken)
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