Bioinformatician For The Fis Alma Project Isciii

hace 4 semanas


Barcelona, Barcelona, España Instituto De Salud Global De Barcelona (Isglobal) A tiempo completo

The Barcelona Institute for Global Health (ISGlobal) is a leading research institution addressing global public health challenges through innovative research, translation into policy, and education.

Our institute 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.

Our research is organized in the following main areas: Malaria and other Infectious Diseases, Maternal, Child and Reproductive Health, Urban Health, Child and Environmental health, and Climate & Non-Communicable Diseases.

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

We are seeking a researcher in bioinformatics to work on the project "urbAn exposome and fetaL growth: the roles of placental epigenoMe And function (ALMA)", project PI20/00190 funded by the Instituto de Salud Carlos III.

The aim of this project is to evaluate the effects of the maternal urban exposome on placental epigenome and the mediating role of placental epigenome in the association between maternal urban exposome and placental function and fetal growth in 700 pregnant women.

We are looking for a Master's level technician in bioinformatics and data science to work on the statistical analysis of ALMA.

The technician will work in a cross-disciplinary team within the Environment and Health over the Life Course program as well as Climate, Air Pollution, Nature and Urban Health.

Key Responsibilities
  • Management, integration, and curation of multidimensional exposome, epigenetics, and clinical data generated in ALMA.
  • Analysis of associations of exposome, epigenetics, placental function, and fetal growth.
Requirements
  • Master in bioinformatics, statistics, data science, or related topics.
  • Previous expertise in maternal and child health research.
  • Knowledge of predictive analysis, modeling, and machine learning to analyze complex data sets.
  • Advanced bioinformatics/biostatistics skills and programming, preferably with R.
  • Experience with database management software, including R.
  • Experience/knowledge in analyzing complex multidimensional data using exposome methods.
What We Offer
  • Full-time contract.
  • Salary according to experience and internal salary scale.
  • Opportunity to work in a cross-disciplinary team.


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