Oferta De Trabajo: Data Science Technician | I067

.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 the following main areas, Malaria and other Infectious Diseases, Maternal, Child and reproductive Health, Urban Health and Child and environmental health, Climate & Non-Communicable Diseases. ISGlobal is accredited with the Severo Ochoa distinction, a seal of excellence of the Spanish Science Ministry.

Lugar Barcelona, Campus Mar WHAT WE ARE LOOKING FOR We are seeking a motivated data scientist to join the Biomedical Data Science Research Group of Dr. Paula Petrone at ISGlobal, created in the framework of the Severo Ochoa Program, with the vision of leveraging data analytics and machine learning to improve health care outcomes. This is a unique opportunity for a motivated data scientist to contribute and carry out research that has social impact and responds to unmet medical needs. The data scientist will develop novel research that applies advanced analytics and machine learning approaches to biomedical data and real-world evidence. Previous experience in the biomedical imaging field is not a requirement but highly desirable. Interest is additionally expressed for candidates with demonstrated experience in the field of bioinformatics and signal processing. This position offers flexible time working, opportunities to learn and develop and an atmosphere of collaboration, creativity and work-life balance. Women are encouraged to apply.

KEY RESPONSABILITIES AND SPECIFIC DUTIES Analyze and integrate medical data from various sources, including clinical records, biomedical imaging, and genomic data. Develop and implement advanced data analytics and machine learning models to extract insights from complex datasets. Collaborate with interdisciplinary teams to interpret data and apply findings to real-world healthcare challenges. Stay updated on the latest trends and advancements in bioinformatics, machine learning, and data analytics. Publish research findings in peer-reviewed journals and present at scientific conferences. TRAINING AND EXPERIENCE / QUALIFICATIONS Bioinformatics degree with strong expertise in Data Science Solid programming experience in Python. Experience developing algorithms or building data solutions,

and integrating and managing datasets from multiple sources. Hands-on experience using one of the following deep learning libraries: Tensorflow, PyTorch Experience of analyzing clinical/healthcare data is desirable

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