Bioinformatician for the ALMA Project
hace 2 semanas
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. We are seeking a highly skilled researcher in bioinformatics to join our team and work on the project "urbAn exposome and fetaL growth: the roles of placental epigenoMe And function (ALMA)", funded by the Instituto de Salud Carlos III.
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.
- Design, implement, and manage relational multidimensional databases.
- Perform epigenome-wide association analysis of the urban exposome with the placental methylome.
- Conduct mediation analyses between the urban exposome, methylome, and fetal growth.
- Perform annotation and functional enrichment analyses.
- Help ALMA researchers with general quality controls, standards, and good practices to ensure quality and reproducibility.
- Provide training and support to the teams for the execution and analysis of specific analyses.
- Master's degree 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.
ISGlobal is a cutting-edge institute addressing global public health challenges through research, translation into policy, and education. We have a broad portfolio in communicable and non-communicable diseases, including environmental and climate determinants, and apply a multidisciplinary scientific approach ranging from the molecular to the population level.
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